Misplaced Pages

Machine-readable medium and data

Article snapshot taken from Wikipedia with creative commons attribution-sharealike license. Give it a read and then ask your questions in the chat. We can research this topic together.

In communications and computing , a machine-readable medium (or computer-readable medium ) is a medium capable of storing data in a format easily readable by a digital computer or a sensor . It contrasts with human-readable medium and data .

#989010

108-434: The result is called machine-readable data or computer-readable data , and the data itself can be described as having machine-readability . Machine-readable data must be structured data . Attempts to create machine-readable data occurred as early as the 1960s. At the same time that seminal developments in machine-reading and natural-language processing were releasing (like Weizenbaum's ELIZA ), people were anticipating

216-554: A business dictionary ), a single-field dictionary narrowly covers one particular subject field (e.g. law), and a sub-field dictionary covers a more specialized field (e.g. constitutional law). For example, the 23-language Inter-Active Terminology for Europe is a multi-field dictionary, the American National Biography is a single-field, and the African American National Biography Project

324-495: A data processing problem". They wanted to create "a notation that should enable the analyst to organize the problem around any piece of hardware ". Their work was the first effort to create an abstract specification and invariant basis for designing different alternative implementations using different hardware components. The next step in IS modeling was taken by CODASYL , an IT industry consortium formed in 1959, who essentially aimed at

432-565: A data structure , especially in the context of programming languages . Data models are often complemented by function models , especially in the context of enterprise models . A data model explicitly determines the structure of data ; conversely, structured data is data organized according to an explicit data model or data structure. Structured data is in contrast to unstructured data and semi-structured data . The term data model can refer to two distinct but closely related concepts. Sometimes it refers to an abstract formalization of

540-469: A lemma with various descriptions. A machine-readable dictionary may have additional capabilities and is therefore sometimes called a smart dictionary. An example of a smart dictionary is the Open Source Gellish English dictionary . The term dictionary is also used to refer to an electronic vocabulary or lexicon as used for example in spelling checkers . If dictionaries are arranged in

648-521: A specialized dictionary , also referred to as a technical dictionary, is a dictionary that focuses upon a specific subject field, as opposed to a dictionary that comprehensively contains words from the lexicon of a specific language or languages. Following the description in The Bilingual LSP Dictionary , lexicographers categorize specialized dictionaries into three types: A multi-field dictionary broadly covers several subject fields (e.g.

756-401: A "dictionary", although modern scholarship considers it a calligraphic compendium of Chinese characters from Zhou dynasty bronzes. Philitas of Cos (fl. 4th century BCE) wrote a pioneering vocabulary Disorderly Words (Ἄτακτοι γλῶσσαι, Átaktoi glôssai ) which explained the meanings of rare Homeric and other literary words, words from local dialects, and technical terms. Apollonius

864-520: A 20th-century enterprise, called lexicography , and largely initiated by Ladislav Zgusta . The birth of the new discipline was not without controversy, with the practical dictionary-makers being sometimes accused by others of having an "astonishing" lack of method and critical-self reflection. The oldest known dictionaries were cuneiform tablets with bilingual Sumerian – Akkadian wordlists, discovered in Ebla (modern Syria ) and dated to roughly 2300 BCE,

972-405: A General Dictionary" which boldly plagiarized Blount's work, and the two criticised each other. This created more interest in the dictionaries. John Wilkins ' 1668 essay on philosophical language contains a list of 11,500 words with careful distinctions, compiled by William Lloyd . Elisha Coles published his "English Dictionary" in 1676. It was not until Samuel Johnson 's A Dictionary of

1080-513: A car be composed of a number of other elements which, in turn, represent the color and size of the car and define its owner. The corresponding professional activity is called generally data modeling or, more specifically, database design . Data models are typically specified by a data expert, data specialist, data scientist, data librarian, or a data scholar. A data modeling language and notation are often represented in graphical form as diagrams. A data model can sometimes be referred to as

1188-517: A carefully chosen data structure will allow the most efficient algorithm to be used. The choice of the data structure often begins from the choice of an abstract data type . A data model describes the structure of the data within a given domain and, by implication, the underlying structure of that domain itself. This means that a data model in fact specifies a dedicated grammar for a dedicated artificial language for that domain. A data model represents classes of entities (kinds of things) about which

SECTION 10

#1732858249990

1296-440: A cohesive, inseparable, whole by eliminating unnecessary data redundancies and by relating data structures with relationships . A different approach is to use adaptive systems such as artificial neural networks that can autonomously create implicit models of data. A data structure is a way of storing data in a computer so that it can be used efficiently. It is an organization of mathematical and logical concepts of data. Often

1404-434: A combination of both. Translation software between multiple languages usually apply bidirectional dictionaries. An MRD may be a dictionary with a proprietary structure that is queried by dedicated software (for example online via internet) or it can be a dictionary that has an open structure and is available for loading in computer databases and thus can be used via various software applications. Conventional dictionaries contain

1512-535: A company wishes to hold information, the attributes of that information, and relationships among those entities and (often implicit) relationships among those attributes. The model describes the organization of the data to some extent irrespective of how data might be represented in a computer system. The entities represented by a data model can be the tangible entities, but models that include such concrete entity classes tend to change over time. Robust data models often identify abstractions of such entities. For example,

1620-561: A data model for XML documents. The main aim of data models is to support the development of information systems by providing the definition and format of data. According to West and Fowler (1999) "if this is done consistently across systems then compatibility of data can be achieved. If the same data structures are used to store and access data then different applications can share data. The results of this are indicated above. However, systems and interfaces often cost more than they should, to build, operate, and maintain. They may also constrain

1728-455: A data model is sometimes referred to as the physical data model , but in the original ANSI three schema architecture, it is called "logical". In that architecture, the physical model describes the storage media (cylinders, tracks, and tablespaces). Ideally, this model is derived from the more conceptual data model described above. It may differ, however, to account for constraints like processing capacity and usage patterns. While data analysis

1836-417: A data model might include an entity class called "Person", representing all the people who interact with an organization. Such an abstract entity class is typically more appropriate than ones called "Vendor" or "Employee", which identify specific roles played by those people. The term data model can have two meanings: A data model theory has three main components: For example, in the relational model ,

1944-413: A data modeling language.[3] A data model instance may be one of three kinds according to ANSI in 1975: The significance of this approach, according to ANSI, is that it allows the three perspectives to be relatively independent of each other. Storage technology can change without affecting either the logical or the conceptual model. The table/column structure can change without (necessarily) affecting

2052-409: A design can be detailed into a logical data model . In later stages, this model may be translated into physical data model . However, it is also possible to implement a conceptual model directly. One of the earliest pioneering works in modeling information systems was done by Young and Kent (1958), who argued for "a precise and abstract way of specifying the informational and time characteristics of

2160-530: A dictionary between Oghuz Turkish, Arabic and Persian. But it is not clear who wrote the dictionary or in which century exactly it was published. It was written in old Anatolian Turkish from the Seljuk period and not the late medieval Ottoman period. In India around 1320, Amir Khusro compiled the Khaliq-e-bari, which mainly dealt with Hindustani and Persian words. Arabic dictionaries were compiled between

2268-691: A passport. There is room for optional, often country-dependent, supplementary information. There are also two sizes of machine-readable visas similarly defined. Computers with a camera and suitable software can directly read the information on machine-readable passports. This enables faster processing of arriving passengers by immigration officials, and greater accuracy than manually-read passports, as well as faster data entry, more data to be read and better data matching against immigration databases and watchlists. [REDACTED]  This article incorporates public domain material from Federal Standard 1037C . General Services Administration . Archived from

SECTION 20

#1732858249990

2376-467: A published dictionary before. As a spelling reformer , Webster believed that English spelling rules were unnecessarily complex, so his dictionary introduced spellings that became American English , replacing "colour" with "color", substituting "wagon" for "waggon", and printing "center" instead of "centre". He also added American words, like "skunk" and "squash", which did not appear in British dictionaries. At

2484-503: A semantic logical data model . This is transformed into a physical data model instance from which is generated a physical database. For example, a data modeler may use a data modeling tool to create an entity–relationship model of the corporate data repository of some business enterprise. This model is transformed into a relational model , which in turn generates a relational database . Patterns are common data modeling structures that occur in many data models. A data-flow diagram (DFD)

2592-411: A subtype-supertype hierarchy of concepts (or terms) then it is called a taxonomy . If it also contains other relations between the concepts, then it is called an ontology . Search engines may use either a vocabulary, a taxonomy or an ontology to optimise the search results. Specialised electronic dictionaries are morphological dictionaries or syntactic dictionaries. A machine-readable passport (MRP)

2700-440: A type of data model, but more or less an alternative model. Within the field of software engineering, both a data model and an information model can be abstract, formal representations of entity types that include their properties, relationships and the operations that can be performed on them. The entity types in the model may be kinds of real-world objects, such as devices in a network, or they may themselves be abstract, such as for

2808-430: Is a dictionary stored as machine-readable data instead of being printed on paper. It is an electronic dictionary and lexical database . A machine-readable dictionary is a dictionary in an electronic form that can be loaded in a database and can be queried via application software. It may be a single language explanatory dictionary or a multi-language dictionary to support translations between two or more languages or

2916-492: Is a machine-readable travel document (MRTD) with the data on the identity page encoded in optical character recognition format. Many countries began to issue machine-readable travel documents in the 1980s. Most travel passports worldwide are MRPs. The International Civil Aviation Organization (ICAO) requires all ICAO member states to only issue MRPs as of April 1, 2010, and all non-MRP passports must expire by November 24, 2015. Machine-readable passports are standardized by

3024-440: Is a common term for data modeling, the activity actually has more in common with the ideas and methods of synthesis (inferring general concepts from particular instances) than it does with analysis (identifying component concepts from more general ones). { Presumably we call ourselves systems analysts because no one can say systems synthesists . } Data modeling strives to bring the data structures of interest together into

3132-470: Is a graphical representation of the "flow" of data through an information system . It differs from the flowchart as it shows the data flow instead of the control flow of the program. A data-flow diagram can also be used for the visualization of data processing (structured design). Data-flow diagrams were invented by Larry Constantine , the original developer of structured design, based on Martin and Estrin's "data-flow graph" model of computation. It

3240-596: Is a human being but the direct user is a program. Such a dictionary does not need to be able to be printed on paper. The structure of the content is not linear, ordered entry by entry but has the form of a complex network (see Diathesis alternation ). Because most of these dictionaries are used to control machine translations or cross-lingual information retrieval (CLIR) the content is usually multilingual and usually of huge size. In order to allow formalized exchange and merging of dictionaries, an ISO standard called Lexical Markup Framework (LMF) has been defined and used among

3348-401: Is a listing of lexemes from the lexicon of one or more specific languages , often arranged alphabetically (or by consonantal root for Semitic languages or radical and stroke for logographic languages), which may include information on definitions , usage, etymologies , pronunciations , translation , etc. It is a lexicographical reference that shows inter-relationships among

Machine-readable medium and data - Misplaced Pages Continue

3456-922: Is a structural markup language, discreetly labeling parts of the document, computers are able to gather document components to assemble tables of contents, outlines, literature search bibliographies, etc. It is possible to make traditional word processing documents and other formats machine readable but the documents must include enhanced structural elements." Examples of machine-readable media include magnetic media such as magnetic disks , cards, tapes , and drums , punched cards and paper tapes , optical discs , barcodes and magnetic ink characters . Common machine-readable technologies include magnetic recording, processing waveforms , and barcodes . Optical character recognition (OCR) can be used to enable machines to read information available to humans. Any information retrievable by any form of energy can be machine-readable. Examples include: Machine-readable dictionary (MRD)

3564-489: Is a sub-field dictionary. In terms of the coverage distinction between "minimizing dictionaries" and "maximizing dictionaries", multi-field dictionaries tend to minimize coverage across subject fields (for instance, Oxford Dictionary of World Religions and Yadgar Dictionary of Computer and Internet Terms ) whereas single-field and sub-field dictionaries tend to maximize coverage within a limited subject field ( The Oxford Dictionary of English Etymology ). Another variant

3672-514: Is a technique for defining business requirements for a database. It is sometimes called database modeling because a data model is eventually implemented in a database. The figure illustrates the way data models are developed and used today. A conceptual data model is developed based on the data requirements for the application that is being developed, perhaps in the context of an activity model . The data model will normally consist of entity types, attributes, relationships, integrity rules, and

3780-417: Is also a contrast between prescriptive or descriptive dictionaries; the former reflect what is seen as correct use of the language while the latter reflect recorded actual use. Stylistic indications (e.g. "informal" or "vulgar") in many modern dictionaries are also considered by some to be less than objectively descriptive. The first recorded dictionaries date back to Sumerian times around 2300 BCE, in

3888-402: Is common practice to draw a context-level data-flow diagram first which shows the interaction between the system and outside entities. The DFD is designed to show how a system is divided into smaller portions and to highlight the flow of data between those parts. This context-level data-flow diagram is then "exploded" to show more detail of the system being modeled An Information model is not

3996-585: Is considered the first dictionary of Arabic . The oldest existing Japanese dictionary, the c.  835 CE Tenrei Banshō Meigi , was also a glossary of written Chinese. In Frahang-i Pahlavig , Aramaic heterograms are listed together with their translation in the Middle Persian language and phonetic transcription in the Pazend alphabet. A 9th-century CE Irish dictionary, Sanas Cormaic , contained etymologies and explanations of over 1,400 Irish words. In

4104-486: Is lost." The law directs U.S. federal agencies to publish public data in such a manner, ensuring that "any public data asset of the agency is machine-readable". Machine-readable data may be classified into two groups: human-readable data that is marked up so that it can also be read by machines (e.g. microformats , RDFa , HTML ), and data file formats intended principally for processing by machines ( CSV , RDF , XML , JSON ). These formats are only machine readable if

4212-466: Is more prescriptive, offering warnings and admonitions against the use of certain words considered by many to be offensive or illiterate, such as, "an offensive term for..." or "a taboo term meaning...". Because of the widespread use of dictionaries in schools, and their acceptance by many as language authorities, their treatment of the language does affect usage to some degree, with even the most descriptive dictionaries providing conservative continuity. In

4320-507: Is not machine-readable. Extensible Markup Language (XML) is designed to be both human- and machine-readable, and Extensible Stylesheet Language Transformation (XSLT) is used to improve the presentation of the data for human readability. For example, XSLT can be used to automatically render XML in Portable Document Format ( PDF ). Machine-readable data can be automatically transformed for human-readability but, generally speaking,

4428-546: Is respelled as "dĭk ′ shə-nĕr′ē" in the American Heritage Dictionary . The IPA is more commonly used within the British Commonwealth countries. Yet others use their own pronunciation respelling systems without diacritics: for example, dictionary may be respelled as DIK -shə-nerr-ee . Some online or electronic dictionaries provide audio recordings of words being spoken. Histories and descriptions of

Machine-readable medium and data - Misplaced Pages Continue

4536-492: Is the glossary , an alphabetical list of defined terms in a specialized field, such as medicine ( medical dictionary ). The simplest dictionary, a defining dictionary , provides a core glossary of the simplest meanings of the simplest concepts. From these, other concepts can be explained and defined, in particular for those who are first learning a language. In English, the commercial defining dictionaries typically include only one or two meanings of under 2000 words. With these,

4644-400: Is to be stored in a database . This technique can describe any ontology , i.e., an overview and classification of concepts and their relationships, for a certain area of interest . In the 1970s G.M. Nijssen developed "Natural Language Information Analysis Method" (NIAM) method, and developed this in the 1980s in cooperation with Terry Halpin into Object–Role Modeling (ORM). However, it

4752-822: The ICAO Document 9303 (endorsed by the International Organization for Standardization and the International Electrotechnical Commission as ISO/IEC 7501-1) and have a special machine-readable zone ( MRZ ), which is usually at the bottom of the identity page at the beginning of a passport. The ICAO 9303 describes three types of documents corresponding to the ISO/IEC 7810 sizes: The fixed format allows specification of document type, name, document number, nationality, date of birth, sex, and document expiration date. All these fields are required on

4860-465: The Leiden Glossary ). The Catholicon (1287) by Johannes Balbus , a large grammatical work with an alphabetical lexicon, was widely adopted. It served as the basis for several bilingual dictionaries and was one of the earliest books (in 1460) to be printed. In 1502 Ambrogio Calepino 's Dictionarium was published, originally a monolingual Latin dictionary, which over the course of the 16th century

4968-694: The Lisan al-`Arab (13th century, still the best-known large-scale dictionary of Arabic) and al-Qamus al-Muhit (14th century) listed words in the alphabetical order of the radicals. The Qamus al-Muhit is the first handy dictionary in Arabic, which includes only words and their definitions, eliminating the supporting examples used in such dictionaries as the Lisan and the Oxford English Dictionary . In medieval Europe, glossaries with equivalents for Latin words in vernacular or simpler Latin were in use (e.g.

5076-480: The constraints that bind them. The basic graphic elements of DSDs are boxes , representing entities, and arrows , representing relationships. Data structure diagrams are most useful for documenting complex data entities. Data structure diagrams are an extension of the entity–relationship model (ER model). In DSDs, attributes are specified inside the entity boxes rather than outside of them, while relationships are drawn as boxes composed of attributes which specify

5184-441: The objects and relationships found in a particular application domain: for example the customers, products, and orders found in a manufacturing organization. At other times it refers to the set of concepts used in defining such formalizations: for example concepts such as entities, attributes, relations, or tables. So the "data model" of a banking application may be defined using the entity–relationship "data model". This article uses

5292-423: The relational model for database management based on first-order predicate logic . In the 1970s entity–relationship modeling emerged as a new type of conceptual data modeling, originally formalized in 1976 by Peter Chen . Entity–relationship models were being used in the first stage of information system design during the requirements analysis to describe information needs or the type of information that

5400-455: The requirements for a conceptual definition of data because it is limited in scope and biased toward the implementation strategy employed by the DBMS. Therefore, the need to define data from a conceptual view has led to the development of semantic data modeling techniques. That is, techniques to define the meaning of data within the context of its interrelationships with other data. As illustrated in

5508-592: The undeclined or unconjugated form appears as the headword in most dictionaries. Dictionaries are most commonly found in the form of a book, but some newer dictionaries, like StarDict and the New Oxford American Dictionary are dictionary software running on PDAs or computers . There are also many online dictionaries accessible via the Internet . According to the Manual of Specialized Lexicographies ,

SECTION 50

#1732858249990

5616-519: The 12th century, The Karakhanid - Turkic scholar Mahmud Kashgari finished his work " Divan-u Lügat'it Türk ", a dictionary about the Turkic dialects, but especially Karakhanid Turkic . His work contains about 7500 to 8000 words and it was written to teach non Turkic Muslims, especially the Abbasid Arabs, the Turkic language. Al-Zamakhshari wrote a small Arabic dictionary called "Muḳaddimetü'l-edeb" for

5724-479: The 1969 The American Heritage Dictionary of the English Language , the first dictionary to use corpus linguistics . In a general dictionary, each word may have multiple meanings. Some dictionaries include each separate meaning in the order of most common usage while others list definitions in historical order, with the oldest usage first. In many languages, words can appear in many different forms, but only

5832-450: The 8th and 14th centuries, organizing words in rhyme order (by the last syllable), by alphabetical order of the radicals , or according to the alphabetical order of the first letter (the system used in modern European language dictionaries). The modern system was mainly used in specialist dictionaries, such as those of terms from the Qur'an and hadith , while most general use dictionaries, such as

5940-529: The Dutch and the Germans call theirs, word-books, than dictionaries in the superior sense of that title." In 1616, John Bullokar described the history of the dictionary with his "English Expositor". Glossographia by Thomas Blount , published in 1656, contains more than 10,000 words along with their etymologies or histories. Edward Phillips wrote another dictionary in 1658, entitled " The New World of English Words : Or

6048-482: The English Language (1755) that a more reliable English dictionary was produced. Many people today mistakenly believe that Johnson wrote the first English dictionary: a testimony to this legacy. By this stage, dictionaries had evolved to contain textual references for most words, and were arranged alphabetically, rather than by topic (a previously popular form of arrangement, which meant all animals would be grouped together, etc.). Johnson's masterwork could be judged as

6156-567: The English Language; it took twenty-seven years to complete. To evaluate the etymology of words, Webster learned twenty-six languages, including Old English (Anglo-Saxon), German, Greek, Latin, Italian, Spanish, French, Hebrew, Arabic, and Sanskrit . Webster completed his dictionary during his year abroad in 1825 in Paris, France, and at the University of Cambridge . His book contained seventy thousand words, of which twelve thousand had never appeared in

6264-558: The English language were glossaries of French, Spanish or Latin words along with their definitions in English. The word "dictionary" was invented by an Englishman called John of Garland in 1220 – he had written a book Dictionarius to help with Latin "diction". An early non-alphabetical list of 8000 English words was the Elementarie , created by Richard Mulcaster in 1582. The first purely English alphabetical dictionary

6372-587: The Sophist ( fl. 1st century CE) wrote the oldest surviving Homeric lexicon. The first Sanskrit dictionary, the Amarakośa , was written by Amarasimha c.  4th century CE . Written in verse, it listed around 10,000 words. According to the Nihon Shoki , the first Japanese dictionary was the long-lost 682 CE Niina glossary of Chinese characters. Al-Khalil ibn Ahmad al-Farahidi's 8th century Kitab al-'Ayn

6480-809: The Turkic-Khwarazm ruler Atsiz . In the 14th century, the Codex Cumanicus was finished and it served as a dictionary about the Cuman -Turkic language. While in Mamluk Egypt , Ebû Hayyân el-Endelüsî finished his work "Kitâbü'l-İdrâk li-lisâni'l-Etrâk", a dictionary about the Kipchak and Turcoman languages spoken in Egypt and the Levant . A dictionary called "Bahşayiş Lügati", which is written in old Anatolian Turkish, served also as

6588-568: The actual use of words. Most dictionaries of English now apply the descriptive method to a word's definition, and then, outside of the definition itself, provide information alerting readers to attitudes which may influence their choices on words often considered vulgar, offensive, erroneous, or easily confused. Merriam-Webster is subtle, only adding italicized notations such as, sometimes offensive or stand (nonstandard). American Heritage goes further, discussing issues separately in numerous "usage notes." Encarta provides similar notes, but

SECTION 60

#1732858249990

6696-477: The age of seventy, Webster published his dictionary in 1828; it sold 2500 copies. In 1840, the second edition was published in two volumes. Webster's dictionary was acquired by G & C Merriam Co. in 1843, after his death, and has since been published in many revised editions. Merriam-Webster was acquired by Encyclopedia Britannica in 1964. Controversy over the lack of usage advice in the 1961 Webster's Third New International Dictionary spurred publication of

6804-498: The business rather than support it. A major cause is that the quality of the data models implemented in systems and interfaces is poor". The reason for these problems is a lack of standards that will ensure that data models will both meet business needs and be consistent. A data model explicitly determines the structure of data. Typical applications of data models include database models, design of information systems, and enabling exchange of data. Usually, data models are specified in

6912-604: The car). Whereas hi taharóg otí , literally 'she will kill me', is colloquial, me (a variant of ma 'what') is archaic, resulting in a combination that is unutterable in real life. A historical dictionary is a specific kind of descriptive dictionary which describes the development of words and senses over time, usually using citations to original source material to support its conclusions. In contrast to traditional dictionaries, which are designed to be used by human beings, dictionaries for natural language processing (NLP) are built to be used by computer programs. The final user

7020-610: The cardinality. A data model in Geographic information systems is a mathematical construct for representing geographic objects or surfaces as data. For example, Generic data models are generalizations of conventional data models. They define standardized general relation types, together with the kinds of things that may be related by such a relation type. Generic data models are developed as an approach to solving some shortcomings of conventional data models. For example, different modelers usually produce different conventional data models of

7128-414: The conceptual model. In each case, of course, the structures must remain consistent with the other model. The table/column structure may be different from a direct translation of the entity classes and attributes, but it must ultimately carry out the objectives of the conceptual entity class structure. Early phases of many software development projects emphasize the design of a conceptual data model . Such

7236-450: The constraints that bind entities together. DSDs differ from the ER model in that the ER model focuses on the relationships between different entities, whereas DSDs focus on the relationships of the elements within an entity and enable users to fully see the links and relationships between each entity. There are several styles for representing data structure diagrams, with the notable difference in

7344-414: The data and their relationship in a database, the procedures in an application program. Object orientation, however, combined an entity's procedure with its data." During the early 1990s, three Dutch mathematicians Guido Bakema, Harm van der Lek, and JanPieter Zwart, continued the development on the work of G.M. Nijssen . They focused more on the communication part of the semantics. In 1997 they formalized

7452-412: The data contained within them is formally structured; exporting a CSV file from a badly structured spreadsheet does not meet the definition. Machine readable is not synonymous with digitally accessible . A digitally accessible document may be online, making it easier for humans to access via computers, but its content is much harder to extract, transform, and process via computer programming logic if it

7560-634: The data. A broad distinction is made between general and specialized dictionaries . Specialized dictionaries include words in specialist fields, rather than a comprehensive range of words in the language. Lexical items that describe concepts in specific fields are usually called terms instead of words, although there is no consensus whether lexicology and terminology are two different fields of study. In theory, general dictionaries are supposed to be semasiological , mapping word to definition , while specialized dictionaries are supposed to be onomasiological , first identifying concepts and then establishing

7668-425: The definitions of those objects. This is then used as the start point for interface or database design . Some important properties of data for which requirements need to be met are: Another kind of data model describes how to organize data using a database management system or other data management technology. It describes, for example, relational tables and columns or object-oriented classes and attributes. Such

7776-534: The dictionaries of other languages on Misplaced Pages include: The age of the Internet brought online dictionaries to the desktop and, more recently, to the smart phone. David Skinner in 2013 noted that "Among the top ten lookups on Merriam-Webster Online at this moment are holistic, pragmatic, caveat, esoteric and bourgeois. Teaching users about words they don't already know has been, historically, an aim of lexicography, and modern dictionaries do this well." There exist

7884-506: The differences less significant. A semantic data model in software engineering is a technique to define the meaning of data within the context of its interrelationships with other data. A semantic data model is an abstraction that defines how the stored symbols relate to the real world. A semantic data model is sometimes called a conceptual data model . The logical data structure of a database management system (DBMS), whether hierarchical , network , or relational , cannot totally satisfy

7992-451: The domain context. More in general the term information model is used for models of individual things, such as facilities, buildings, process plants, etc. In those cases the concept is specialised to Facility Information Model , Building Information Model , Plant Information Model, etc. Such an information model is an integration of a model of the facility with the data and documents about the facility. Dictionary A dictionary

8100-474: The entities used in a billing system. Typically, they are used to model a constrained domain that can be described by a closed set of entity types, properties, relationships and operations. According to Lee (1999) an information model is a representation of concepts, relationships, constraints, rules, and operations to specify data semantics for a chosen domain of discourse. It can provide sharable, stable, and organized structure of information requirements for

8208-498: The entity boxes rather than outside of them, while relationships are drawn as lines, with the relationship constraints as descriptions on the line. The E-R model, while robust, can become visually cumbersome when representing entities with several attributes. There are several styles for representing data structure diagrams, with a notable difference in the manner of defining cardinality. The choices are between arrow heads, inverted arrow heads (crow's feet), or numerical representation of

8316-419: The essential messiness of the real world, and the task of the data modeler to create order out of chaos without excessively distorting the truth. In the 1980s, according to Jan L. Harrington (2000), "the development of the object-oriented paradigm brought about a fundamental change in the way we look at data and the procedures that operate on data. Traditionally, data and procedures have been stored separately:

8424-414: The figure. The real world, in terms of resources, ideas, events, etc., are symbolically defined within physical data stores. A semantic data model is an abstraction that defines how the stored symbols relate to the real world. Thus, the model must be a true representation of the real world. Data architecture is the design of data for use in defining the target state and the subsequent planning needed to hit

8532-726: The first edition of the Vocabolario degli Accademici della Crusca , for Italian , was published. It served as the model for similar works in French and English. In 1690 in Rotterdam was published, posthumously, the Dictionnaire Universel by Antoine Furetière for French . In 1694 appeared the first edition of the Dictionnaire de l'Académie française (still published, with the ninth edition not complete as of 2021 ). Between 1712 and 1721

8640-555: The first to bring all these elements together, creating the first "modern" dictionary. Johnson's dictionary remained the English-language standard for over 150 years, until the Oxford University Press began writing and releasing the Oxford English Dictionary in short fascicles from 1884 onwards. A complete ten-volume first edition was not released until 1928. One of the main contributors to this modern dictionary

8748-684: The first volume of the Woordenboek der Nederlandsche Taal which was completed in 1998. Also in 1863 Vladimir Ivanovich Dahl published the Explanatory Dictionary of the Living Great Russian Language . The Duden dictionary dates back to 1880, and is currently the prescriptive source for the spelling of German. The decision to start work on the Svenska Akademiens ordbok was taken in 1787. The earliest dictionaries in

8856-470: The form of bilingual dictionaries, and the oldest surviving monolingual dictionaries are Chinese dictionaries c.  3rd century BCE . The first purely English alphabetical dictionary was A Table Alphabeticall , written in 1604, and monolingual dictionaries in other languages also began appearing in Europe at around this time. The systematic study of dictionaries as objects of scientific interest arose as

8964-801: The industrial and academic community. In many languages, such as the English language, the pronunciation of some words is not consistently apparent from their spelling. In these languages, dictionaries usually provide the pronunciation. For example, the definition for the word dictionary might be followed by the International Phonetic Alphabet spelling / ˈ d ɪ k ʃ ə n ər i / (in British English) or / ˈ d ɪ k ʃ ə n ɛr i / (in American English). American English dictionaries often use their own pronunciation respelling systems with diacritics , for example dictionary

9072-450: The information system provided the data and information for management purposes. The first generation database system , called Integrated Data Store (IDS), was designed by Charles Bachman at General Electric. Two famous database models, the network data model and the hierarchical data model , were proposed during this period of time". Towards the end of the 1960s, Edgar F. Codd worked out his theories of data arrangement, and proposed

9180-416: The long run, however, the meanings of words in English are primarily determined by usage, and the language is being changed and created every day. As Jorge Luis Borges says in the prologue to "El otro, el mismo": " It is often forgotten that (dictionaries) are artificial repositories, put together well after the languages they define. The roots of language are irrational and of a magical nature. " Sometimes

9288-524: The manner of defining cardinality . The choices are between arrow heads, inverted arrow heads ( crow's feet ), or numerical representation of the cardinality. An entity–relationship model (ERM), sometimes referred to as an entity–relationship diagram (ERD), could be used to represent an abstract conceptual data model (or semantic data model or physical data model) used in software engineering to represent structured data. There are several notations used for ERMs. Like DSD's, attributes are specified inside

9396-419: The method Fully Communication Oriented Information Modeling FCO-IM . A database model is a specification describing how a database is structured and used. Several such models have been suggested. Common models include: A data structure diagram (DSD) is a diagram and data model used to describe conceptual data models by providing graphical notations which document entities and their relationships , and

9504-406: The original on 2022-01-22. This computer-storage -related article is a stub . You can help Misplaced Pages by expanding it . Structured data A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities . For instance, a data model may specify that the data element representing

9612-469: The rest of English, and even the 4000 most common English idioms and metaphors , can be defined. Lexicographers apply two basic philosophies to the defining of words: prescriptive or descriptive . Noah Webster , intent on forging a distinct identity for the American language, altered spellings and accentuated differences in meaning and pronunciation of some words. This is why American English now uses

9720-828: The reverse is not true. For purposes of implementation of the Government Performance and Results Act (GPRA) Modernization Act, the Office of Management and Budget (OMB) defines "machine readable format" as follows: "Format in a standard computer language (not English text) that can be read automatically by a web browser or computer system. (e.g.; xml). Traditional word processing documents and portable document format (PDF) files are easily read by humans but typically are difficult for machines to interpret. Other formats such as extensible markup language ( XML ), ( JSON ), or spreadsheets with header columns that can be exported as comma separated values (CSV) are machine readable formats. As HTML

9828-557: The same dictionary can be descriptive in some domains and prescriptive in others. For example, according to Ghil'ad Zuckermann , the Oxford English-Hebrew Dictionary is "at war with itself": whereas its coverage (lexical items) and glosses (definitions) are descriptive and colloquial, its vocalization is prescriptive. This internal conflict results in absurd sentences such as hi taharóg otí kshetiré me asíti lamkhonít (she'll tear me apart when she sees what I've done to

9936-495: The same domain. This can lead to difficulty in bringing the models of different people together and is an obstacle for data exchange and data integration. Invariably, however, this difference is attributable to different levels of abstraction in the models and differences in the kinds of facts that can be instantiated (the semantic expression capabilities of the models). The modelers need to communicate and agree on certain elements that are to be rendered more concretely, in order to make

10044-411: The same thing as Young and Kent: the development of "a proper structure for machine-independent problem definition language, at the system level of data processing". This led to the development of a specific IS information algebra . In the 1960s data modeling gained more significance with the initiation of the management information system (MIS) concept. According to Leondes (2002), "during that time,

10152-473: The spelling color while the rest of the English-speaking world prefers colour . (Similarly, British English subsequently underwent a few spelling changes that did not affect American English; see further at American and British English spelling differences .) Large 20th-century dictionaries such as the Oxford English Dictionary (OED) and Webster's Third are descriptive, and attempt to describe

10260-433: The structural part is based on a modified concept of the mathematical relation ; the integrity part is expressed in first-order logic and the manipulation part is expressed using the relational algebra , tuple calculus and domain calculus . A data model instance is created by applying a data model theory. This is typically done to solve some business enterprise requirement. Business requirements are normally captured by

10368-592: The success of machine-readable functionality and attempting to create machine-readable documents. One such example was musicologist Nancy B. Reich 's creation of a machine-readable catalog of composer William Jay Sydeman 's works in 1966. In the United States, the OPEN Government Data Act of 14 January 2019 defines machine-readable data as "data in a format that can be easily processed by a computer without human intervention while ensuring no semantic meaning

10476-423: The target state, Data architecture describes how data is processed, stored, and utilized in a given system. It provides criteria for data processing operations that make it possible to design data flows and also control the flow of data in the system. Data modeling in software engineering is the process of creating a data model by applying formal data model descriptions using data modeling techniques. Data modeling

10584-478: The target state. It is usually one of several architecture domains that form the pillars of an enterprise architecture or solution architecture . A data architecture describes the data structures used by a business and/or its applications. There are descriptions of data in storage and data in motion; descriptions of data stores, data groups, and data items; and mappings of those data artifacts to data qualities, applications, locations, etc. Essential to realizing

10692-460: The term in both senses. Managing large quantities of structured and unstructured data is a primary function of information systems . Data models describe the structure, manipulation, and integrity aspects of the data stored in data management systems such as relational databases. They may also describe data with a looser structure, such as word processing documents, email messages , pictures, digital audio, and video: XDM , for example, provides

10800-423: The terms used to designate them. In practice, the two approaches are used for both types. There are other types of dictionaries that do not fit neatly into the above distinction, for instance bilingual (translation) dictionaries , dictionaries of synonyms ( thesauri ), and rhyming dictionaries. The word dictionary (unqualified) is usually understood to refer to a general purpose monolingual dictionary . There

10908-515: The time of the Akkadian Empire . The early 2nd millennium BCE Urra=hubullu glossary is the canonical Babylonian version of such bilingual Sumerian wordlists. A Chinese dictionary , the c.  3rd century BCE Erya , is the earliest surviving monolingual dictionary; and some sources cite the Shizhoupian (probably compiled sometime between 700 BCE to 200 BCE, possibly earlier) as

11016-461: The work was completed in 1961. Between 1861 and 1874 was published the Dizionario della lingua italiana by Niccolò Tommaseo . Between 1862 and 1874 was published the six volumes of A magyar nyelv szótára (Dictionary of Hungarian Language) by Gergely Czuczor and János Fogarasi. Émile Littré published the Dictionnaire de la langue française between 1863 and 1872. In the same year 1863 appeared

11124-661: Was A Table Alphabeticall , written by English schoolteacher Robert Cawdrey in 1604. The only surviving copy is found at the Bodleian Library in Oxford . This dictionary, and the many imitators which followed it, was seen as unreliable and nowhere near definitive. Philip Stanhope, 4th Earl of Chesterfield was still lamenting in 1754, 150 years after Cawdrey's publication, that it is "a sort of disgrace to our nation, that hitherto we have had no… standard of our language; our dictionaries at present being more properly what our neighbors

11232-498: Was Terry Halpin's 1989 PhD thesis that created the formal foundation on which Object–Role Modeling is based. Bill Kent, in his 1978 book Data and Reality, compared a data model to a map of a territory, emphasizing that in the real world, "highways are not painted red, rivers don't have county lines running down the middle, and you can't see contour lines on a mountain". In contrast to other researchers who tried to create models that were mathematically clean and elegant, Kent emphasized

11340-523: Was an ex-army surgeon, William Chester Minor , a convicted murderer who was confined to an asylum for the criminally insane. The OED remains the most comprehensive and trusted English language dictionary to this day, with revisions and updates added by a dedicated team every three months. In 1806, American Noah Webster published his first dictionary, A Compendious Dictionary of the English Language . In 1807 Webster began compiling an expanded and fully comprehensive dictionary, An American Dictionary of

11448-590: Was enlarged to become a multilingual glossary. In 1532 Robert Estienne published the Thesaurus linguae latinae and in 1572 his son Henri Estienne published the Thesaurus linguae graecae , which served up to the 19th century as the basis of Greek lexicography. The first monolingual Spanish dictionary written was Sebastián Covarrubias 's Tesoro de la lengua castellana o española , published in 1611 in Madrid, Spain. In 1612

11556-521: Was firstly published in 1777; it has formed the basis of all similar works that have since been published. The first edition of A Greek-English Lexicon by Henry George Liddell and Robert Scott appeared in 1843; this work remained the basic dictionary of Greek until the end of the 20th century. And in 1858 was published the first volume of the Deutsches Wörterbuch by the Brothers Grimm ;

11664-514: Was published the Vocabulario portughez e latino written by Raphael Bluteau. The Royal Spanish Academy published the first edition of the Diccionario de la lengua española (still published, with a new edition about every decade) in 1780; their Diccionario de Autoridades , which included quotes taken from literary works, was published in 1726. The Totius Latinitatis lexicon by Egidio Forcellini

#989010