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IDEF1X
Integration DEFinition for information modeling (IDEF1X) is a data modeling language for the development of semantic data models. IDEF1X is used to produce a graphical information model which represents the structure and semantics of information within an environment or system.FIPS Publication 184
released of IDEF1X by the Computer Systems Laboratory of the National Institute of Standards and Technology (NIST). 21 December 1993.
IDEF1X permits the construction of semantic data models which may serve to support the management of data as a resource, the integration of information systems, and the building of computer s. This standard is part of the

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IDEF
IDEF, initially an abbreviation of ICAM Definition and renamed in 1999 as Integration Definition, is a family of modeling languages in the field of systems and software engineering. They cover a wide range of uses from functional modeling to data, simulation, object-oriented analysis and design, and knowledge acquisition. These definition languages were developed under funding from U.S. Air Force and, although still most commonly used by them and other military and United States Department of Defense (DoD) agencies, are in the public domain. The most-widely recognized and used components of the IDEF family are IDEF0, a functional modeling language building on SADT, and IDEF1X, which addresses information models and database design issues. Overview of IDEF methods IDEF refers to a family of modeling language, which cover a wide range of uses, from functional modeling to data, simulation, object-oriented analysis/design and knowledge acquisition. Eventually the IDEF methods hav ...
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Information Model
An information model in software engineering is a representation of concepts and the relationships, constraints, rules, and Operation (mathematics), operations to specify Semantic data model, data semantics for a chosen domain of discourse. Typically it specifies relations between kinds of things, but may also include relations with individual things. It can provide sharable, stable, and organized structure of information requirements or knowledge for the domain context.Y. Tina Lee (1999)"Information modeling from design to implementation"National Institute of Standards and Technology. Overview The term ''information model'' in general 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 modeling, building information model, plant information model, etc. Such an information model is an integration of a model of the facility with the data and docum ...
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Data Modeling
Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may be applied as part of broader Model-driven engineering (MDE) concept. Overview Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system. There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system.Simison, Graeme. C. & Witt, Graham. C. (2005). ''Data Modeling Essentials''. 3rd Edition. Morgan Kaufmann Publishers. The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent ...
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IDEF0
IDEF0, a compound acronym ("Icam DEFinition for Function Modeling", where ICAM is an acronym for "Integrated Computer Aided Manufacturing"), is a function modeling methodology for describing manufacturing functions, which offers a functional modeling language for the analysis, development, reengineering and integration of information systems, business processes or software engineering analysis.''Systems Engineering Fundamentals.''
Defense Acquisition University Press, 2001.
IDEF0 is part of the IDEF family of modeling languages in the field of

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Semantic Data Model
A semantic data model (SDM) is a :wiktionary:high-level, high-level semantics-based database description and structuring formalism (database model) for databases. This database model is designed to capture more of the meaning of an application environment than is possible with contemporary database models. An SDM specification describes a database in terms of the kinds of entities that exist in the application environment, the classifications and groupings of those entities, and the structural interconnections among them. SDM provides a collection of high-level modeling primitives to capture the semantics of an application environment. By accommodating derived information in a database structural specification, SDM allows the same information to be viewed in several ways; this makes it possible to directly accommodate the variety of needs and processing requirements typically present in database applications. The design of the present SDM is based on our experience in using a prel ...
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Three-schema Approach
The three-schema approach, or three-schema concept, in software engineering is an approach to building information systems and systems information management that originated in the 1970s. It proposes three different view model, views in systems development, with conceptual modelling being considered the key to achieving data integration. Overview The three-schema approach provides for three types of schemas with schema techniques based on formal language descriptions: * External schema for user views * Conceptual schema integrates external schemata * Internal schema that defines physical storage structures At the center, the conceptual schema defines the Ontology (information science), ontology of the concepts as the user (computing), users think of them and talk about them. The physical schema according to Sowa (2004) "describes the internal formats of the data stored in the database, and the external schema defines the view of the data presented to the application programs." ...
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Peter Chen
Peter Pin-Shan Chen (; born 3 January 1947) is a Taiwanese-American computer scientist and applied mathematician. He is a retired distinguished career scientist and faculty member at Carnegie Mellon University and Distinguished Chair Professor Emeritus at Louisiana State University. He is known for the development of the entity–relationship model in 1976. Biography Born in Taichung, Taiwan, Chen received a Bachelor of Science (B.S.) in electrical engineering in 1968 from National Taiwan University and earned a Ph.D. in computer science and applied mathematics at Harvard University in 1973. In 1970, he worked one summer at IBM. After graduating from Harvard, he spent one year at Honeywell and a summer at Digital Equipment Corporation. From 1974 to 1978 Chen was an assistant professor at the MIT Sloan School of Management. From 1978 to 1983 he was an associate professor at the University of California, Los Angeles (UCLA Management School). From 1983 to 2011 Chen held the posi ...
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Entity–relationship Model
An entity–relationship model (or ER model) describes interrelated things of interest in a specific domain of knowledge. A basic ER model is composed of entity types (which classify the things of interest) and specifies relationships that can exist between entities (instances of those entity types). In software engineering, an ER model is commonly formed to represent things a business needs to remember in order to perform business processes. Consequently, the ER model becomes an abstract data model, that defines a data or information structure that can be implemented in a database, typically a relational database. Entity–relationship modeling was developed for database and design by Peter Chen and published in a 1976 paper, with variants of the idea existing previously. Today it is commonly used for teaching students the basics of database structure. Some ER models show super and subtype entities connected by generalization-specialization relationships, and an ER model can ...
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Modeling Language
A modeling language is any artificial language that can be used to express data, information or knowledge or systems in a structure that is defined by a consistent set of rules. The rules are used for interpretation of the meaning of components in the structure of a programming language. Overview A modeling language can be graphical or textual. * ''Graphical'' modeling languages use a diagramming technique, diagram technique with named symbols that represent concepts and lines that connect the symbols and represent relationships and various other graphical notation to represent constraints. * ''Textual'' modeling languages may use standardized keywords accompanied by parameters or natural language terms and phrases to make computer-interpretable expressions. An example of a graphical modeling language and a corresponding textual modeling language is EXPRESS (data modeling language), EXPRESS. Not all modeling languages are executable, and for those that are, the use of them does ...
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Referential Integrity
Referential integrity is a property of data stating that all its references are valid. In the context of relational databases, it requires that if a value of one attribute (column) of a relation (table) references a value of another attribute (either in the same or a different relation), then the referenced value must exist. For referential integrity to hold in a relational database, any column in a base table that is declared a foreign key can only contain either null values or values from a parent table's primary key or a candidate key. In other words, when a foreign key value is used it must reference a valid, existing primary key in the parent table. For instance, deleting a record that contains a value referred to by a foreign key in another table would break referential integrity. Some relational database management systems (RDBMS) can enforce referential integrity, normally either by deleting the foreign key rows as well to maintain integrity, or by returning an error and ...
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IBM Information Management System
The IBM Information Management System (IMS) is a joint hierarchical database model, hierarchical database and information management system that supports transaction processing. Development began in 1966 to keep track of the bill of materials for the Saturn V rocket of the Apollo program, and the first version on the IBM System/360 Model 65 was completed in 1967 as ICS/DL/I and officially installed in August 1968. IBM rebranded it IMS/360 in 1969, and ported it to new platforms as they emerged. In 1988, the company claimed that there were 7,000 IMS sites active worldwide. and went on to see extensive use and continual improvement to this day. IMS's most successful year in terms of sales was in 2003, 35 years after it was released. It was in use by over 95% of the Fortune 1000. History DATE and DL/1 IMS ultimately traces its history to a 1963 contract from NASA to help control the continual list of changes being made to the Apollo command and service module at the North American ...
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Object-oriented Modeling
Object-oriented modeling (OOM) is an approach to modeling an application that is used at the beginning of the software life cycle when using an object-oriented approach to software development. The software life cycle is typically divided up into stages going from abstract descriptions of the problem to designs then to code and testing and finally to deployment. Modeling is done at the beginning of the process. The reasons to model a system before writing the code are: *Communication. Users typically cannot understand programming language or code. Model diagrams can be more understandable and can allow users to give developers feedback on the appropriate structure of the system. A key goal of the Object-Oriented approach is to decrease the "semantic gap" between the system and the real world by using terminology that is the same as the functions that users perform. Modeling is an essential tool to facilitate achieving this goal . *Abstraction. A goal of most software methodologie ...
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