Natural Language Information Analysis Method - определение. Что такое Natural Language Information Analysis Method
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Что (кто) такое Natural Language Information Analysis Method - определение

PROGRAMMING TECHNIQUE
NIAM; Object role modelling; Nijssen's Information Analysis Method; Object–relationship modeling; Object Role Modeling; Niam; Object role modeling; Natural language Information Analysis Method; Object-Role Modeling; Object-Role modeling; Object-role model; Entity-predicator model; Object-role modelling; Object-role modeling; Object-relationship modeling
  • Example of an ORM2 diagram
  • Overview of object–role model notation, Stephen M. Richard (1999).<ref name="SMR99"/>
  • Example of the application of Object Role Modeling in a "Schema for Geologic Surface", Stephen M. Richard (1999).<ref name="SMR99">Stephen M. Richard (1999). [http://pubs.usgs.gov/of/1999/of99-386/richard.html Geologic Concept Modeling]. U.S. Geological Survey Open-File Report 99-386.</ref>
Найдено результатов: 15599
Cognition enhanced Natural language Information Analysis Method         
CogNIAM; CognNIAM; Cognition enhanced NIAM; Cognition enhanced Natural language Information and Analysis Method
Cognition enhanced Natural language Information Analysis Method (CogNIAM) is a conceptual fact-based modelling method, that aims to integrate the different dimensions of knowledge: data, rules, processes and semantics. To represent these dimensions world standards SBVR, BPMN and DMN from the Object Management Group (OMG) are used.
Natural Language Information Analysis Method         
(NIAM, or Nijssen IAM) A method for data modelling. ["Conceptual Scheme and Relational Database Design", Nijssen and Halpin, Prentice-Hall, 1989]. (1995-03-31)
Natural language         
LANGUAGE NATURALLY SPOKEN BY HUMANS, AS OPPOSED TO "CONSTRUCTED" AND "FORMAL" LANGUAGES
Natlang; Natural languages; Natural speech; Natural Language; Natural-language
In neuropsychology, linguistics, and philosophy of language, a natural language or ordinary language is any language that has evolved naturally in humans through use and repetition without conscious planning or premeditation. Natural languages can take different forms, such as speech or signing.
natural language         
LANGUAGE NATURALLY SPOKEN BY HUMANS, AS OPPOSED TO "CONSTRUCTED" AND "FORMAL" LANGUAGES
Natlang; Natural languages; Natural speech; Natural Language; Natural-language
¦ noun a language that has developed naturally in use, as opposed to an artificial language or computer code.
natural language         
LANGUAGE NATURALLY SPOKEN BY HUMANS, AS OPPOSED TO "CONSTRUCTED" AND "FORMAL" LANGUAGES
Natlang; Natural languages; Natural speech; Natural Language; Natural-language
<application> A language spoken or written by humans, as opposed to a language use to program or communicate with computers. Natural language understanding is one of the hardest problems of artificial intelligence due to the complexity, irregularity and diversity of human language and the philosophical problems of meaning. See also Pleuk grammar development system, proof. An on-line demonstration (http://sakharov.ai.mit.edu/Start). {New York U (http://nyu.edu/pages/linguistics/ling.html)}. (1995-04-24)
History of natural language processing         
ASPECT OF HISTORY
History of NLP; History of Natural language processing; Machine learning algorithms for natural language processing
The history of natural language processing describes the advances of natural language processing (Outline of natural language processing). There is some overlap with the history of machine translation, the history of speech recognition, and the history of artificial intelligence.
Cross-language information retrieval         
RETRIEVAL OF INFORMATION IN DIFFERENT LANGUAGES.
Cross Language Information Retrieval; Cross language information retrieval; Cross-lingual information retrieval; Translated foreign pages; Multlingual search engine; Cross-language search; Translingual information retrieval; Multilingual information retrieval; Translated Foreign Pages; Translated search
Cross-language information retrieval (CLIR) is a subfield of information retrieval dealing with retrieving information written in a language different from the language of the user's query.Wang, Jianqiang, and Douglas W.
Prony's method         
  • Prony analysis of a time-domain signal
MATHEMATICAL METHOD TO ESTIMATE THE COMPONENTS OF A SIGNAL
Prony's Method; Prony analysis; Prony method
Prony analysis (Prony's method) was developed by Gaspard Riche de Prony in 1795. However, practical use of the method awaited the digital computer.
Philosophical analysis         
GENERAL TERM FOR TECHNIQUES TYPICALLY USED BY PHILOSOPHERS IN THE ANALYTIC TRADITION
Analysis (philosophy); Conceptual analysis; Conceptual Analysis; Analysis, Philosophical; Conceptual thinking; Method of analysis
Philosophical analysis is any of various techniques, typically used by philosophers in the analytic tradition, in order to "break down" (i.e.
Object Role Modeling         
<programming> (ORM) A conceptual modelling approach that pictures the application world as a set of objects that play roles (parts in relationships, which may be unary, binary or higher order). ORM provides both graphical and textual languages that enable models to be expressed naturally. For data modelling purposes, its graphical language is more expressive than ER or UML. http://orm.net/. (1999-08-27)

Википедия

Object–role modeling

Object–role modeling (ORM) is used to model the semantics of a universe of discourse. ORM is often used for data modeling and software engineering.

An object–role model uses graphical symbols that are based on first order predicate logic and set theory to enable the modeler to create an unambiguous definition of an arbitrary universe of discourse. Attribute free, the predicates of an ORM Model lend themselves to the analysis and design of graph database models in as much as ORM was originally conceived to benefit relational database design.

The term "object–role model" was coined in the 1970s and ORM based tools have been used for more than 30 years – principally for data modeling. More recently ORM has been used to model business rules, XML-Schemas, data warehouses, requirements engineering and web forms.