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Data modeling Entity relationship diagrams
1 Entity-relationship modeling is a relational schema database modeling
method, used in software engineering to produce a type of
conceptual data model (or semantic data model) of a system, often a
relational database, and its requirements in a top-down fashion.
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Data modeling Semantic data modeling
1 A semantic data model is an abstraction which defines how the stored symbols relate to the real
world
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Data modeling Semantic data modeling
1 A semantic data model can be used to serve
many purposes, such as:
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Data modeling Semantic data modeling
1 The overall goal of semantic data models is to capture more meaning
of data by integrating relational concepts with more powerful
abstraction concepts known from the Artificial Intelligence field. The idea is
to provide high level modeling primitives as integral part of a data
model in order to facilitate the representation of real world
situations.https://store.theartofservice.com/the-semantic-data-model-toolkit.html
Data model Entity-relationship model
1 An entity-relationship model (ERM) is an abstract conceptual data model (or semantic data model) used in software engineering to represent structured data. There are several
notations used for ERMs.
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Data model Semantic data model
1 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 which defines how the
stored symbols relate to the real world. A semantic data model is
sometimes called a conceptual data model.https://store.theartofservice.com/the-semantic-data-model-toolkit.html
Data model Semantic data model
1 A semantic data model is an abstraction which defines how the stored symbols relate to the real
world
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Conceptual model - Entity-relationship model
1 In software engineering, an entity-relationship model (ERM) is an abstract and conceptual representation of data. Entity-
relationship modeling is a database modeling method, used to produce a type of conceptual schema or semantic data model of a system, often a relational database, and
its requirements in a top-down fashion. Diagrams created by this process are called
entity-relationship diagrams, ER diagrams, or ERDs.
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Semantics - Semantic models
1 Terms such as semantic network and semantic data model are used to describe particular types of data
models characterized by the use of directed graphs in which the vertices
denote concepts or entities in the world, and the arcs denote
relationships between them.
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Semantics - Semantic models
1 The Semantic Web refers to the extension of the World Wide Web via
embedding added semantic metadata, using semantic data modelling techniques such as
Resource Description Framework (RDF) and Web Ontology Language
(OWL).
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Semantic data model
1 A 'semantic data model' in software engineering has
various meanings:
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Semantic data model
1 # It is a conceptual data model in which semantic information is
included. This means that the model describes the meaning of its
instances. Such a semantic data model is an abstraction that defines
how the stored symbols (the instance data) relate to the real world.
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Semantic data model
1 Typically the instance data of semantic data models explicitly include the kinds of
relationships between the various data elements, such as . To interpret the meaning of the facts from the instances it is required that the meaning of the kinds of relations (relation
types) is known. Therefore, semantic data models typically standardise such relation types. This means that the second kind of
semantic data models enable that the instances express facts that include their own meaning.
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Semantic data model
1 The second kind of semantic data models are usually meant to create semantic databases.
The ability to include meaning in semantic databases facilitates building distributed
databases that enable applications to interpret the meaning from the content. This
implies that semantic databases can be integrated when they use the same
(standard) relation types. This also implies that in general they have a wider applicability than relational or object oriented databases.
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Semantic data model - Overview
1 A semantic data model is an abstraction which defines how the stored symbols relate to the real
world
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Semantic data model - Overview
1 Semantic data modeling In:
Metaclasses and Their Application
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Semantic data model - History
1 The need for semantic data
models was first recognized by the
U.Shttps://store.theartofservice.com/the-semantic-data-model-toolkit.html
Semantic data model - History
1 ** IDEF1X is a semantic data modeling technique. It is used to produce a graphical
information model which represents the structure and semantics of information
within an environment or system. Use of this standard 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
databases.
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Semantic data model - History
1 The definition of the Gellish language is documented in the form of a semantic data
model
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Semantic data model - Applications
1 * Integration of Existing Databases: By defining the contents of existing databases with
semantic data models, an integrated data definition can be derived. With the proper
technology, the resulting conceptual schema can be used to control transaction processing in
a distributed database environment. The U.S. Air Force Integrated Information Support System
(I2S2) is an experimental development and demonstration of this type of technology applied
to a heterogeneous DBMS environment.
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Configuration management database - CMDB schematic representations
1 CMDBs schematic structures, also known as database schemas or
schemas, take on multiple forms. Two of the most common forms are
those of a Relational model|relational data model and a semantic data
model.
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Configuration management database - CMDB schematic representations
1 Semantic data models typically rely on the resource description
framework and use a model that simply relates any thing to any other
thing through the use of a relationship descriptor, giving
context to how things are related to each other.
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Topic Maps
1 The semantic expressive power|expressivity of Topic Maps is, in many ways, equivalent to that of
Resource Description Framework|RDF, but the major differences are that Topic Maps (i) provide a
higher level of Semantic data model|semantic abstraction (providing a template of topics,
associations and occurrences, while RDF only provides a template of two arguments linked by one relationship) and (hence) (ii) allow N-ary#n-ary|n-ary relationships (hypergraphs) between any number of nodes, while RDF is limited to
tuple|triplets.
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Structured data - Entity-relationship model
1 An entity-relationship model (ERM) is an abstract conceptual schema|
conceptual data model (or semantic data model) used in software
engineering to represent structured data. There are several notations
used for ERMs.
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Structured data - Semantic data model
1 A semantic data model is an abstraction which defines how the stored symbols relate to the real
world
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Structured data - Information model
1 According to Lee (1999) an information model is a representation
of concepts, relationships, constraints, rules, and Operation
(mathematics)|operations to specify Semantic data model|data semantics
for a chosen domain of discourse
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Relational Model/Tasmania - Summary of RM/T
1 The RM/T addresses molecular semantics by taking the original RM and categorising the relations into several entity types, increasing the
information captured by the semantic data model. However Codd
does not define a notation for diagramming his new semantics.
Each entity may play several roles at once and thus belong to one or more
of the following entity types:https://store.theartofservice.com/the-semantic-data-model-toolkit.html
Relational Model/Tasmania - RM/T Today
1 Peckam and Maryanski (1988) wrote about RM/T in their study of semantic data models
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Relational Model/Tasmania - RM/T Today
1 RM/T contributed to the body of knowledge called semantic data modeling and semantic object
modeling and continues to influence new data modellers. See the paper by Hammer and McLeod (1981), the
book by Knoenke (2001) and implementation by Grabczewski et
alia (2004)...
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IDEF1X
1 'IDEF | Integration DEFinition for Information Modeling (IDEF1X)' is a data modeling modeling language|language for the development of
semantic data models
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IDEF1X
1 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 databases. This standard is part of the IDEF family of
modeling languages in the field of software engineering.
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IDEF1X - History
1 The need for semantic data models was first recognized by
the U.S
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Academic studies about Wikipedia - Machine learning
1 Automated Semantic data model|semantic knowledge extraction using machine learning algorithms is used
to extract machine-processable information at a relatively low complexity cost. DBpedia uses
structured content extracted from infoboxes by machine learning
algorithms to create a resource of linked data in a Semantic Web.
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John Mylopoulos - Work
1 Mylopoulos' research interest ranges from information modelling techniques, specifically semantic data models, to knowledge based systems and information system design and
to the field of requirements engineering.[http://www.cs.toronto.edu/~jm/ John
Mylopoulos], Department of Computer Science, University of Toronto, Accessed
09.2014. Borgida et al. (2009) summarized, that Mylopoulos made four mayor
contributions in these fields:
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IDEF0 - History
1 Air Force Integrated Information Support System program enhanced
the IDEF1 information modeling technique to form IDEF1X (IDEF1
Extended), a semantic data modeling technique
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Gellish English
1 From an information technology perspective Gellish Formal English is a standard nearly universal semantic data model that can be used for the modeling of individual things as well
for knowledge representation
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Integrated Computer-Aided Manufacturing - Standard data models
1 The significance of these models to data interchange for manufacturing and materials flow was recognized early in the Air Force Integrated
Computer Aided Manufacturing (ICAM) Project and gave rise to the IDEF formal modeling project.ICAM Conceptual Design for Computer Integrated
Manufacturing Framework Document, Air Force Materials Laboratory, Wright Aeronautical Laboratories, USAF Systems Command, Wright-
Patterson Air Force Base, OH, 1984 IDEF produced a specification for a formal functional modeling approach (IDEF0) and an information modeling language (IDEF1).ICAM Architecture Part 2, Volume 5: Information Modeling Manual (IDEF1),AFWAL TR-81-4023, Air Force Materials Laboratory, Wright Aeronautical Laborato-ries, USAF Systems Command, Wright-Patterson Air
Force Base, OH, June, 1981 The more recent Product Data Exchange Specification (PDES) project in the U.S., the related ISO 10303|ISO
Standard for the exchange of product model data (STEP) and the CIMOSA|Computer Integrated Manufacture Open Systems Architecture (CIMOSA)
[ISO87] project in the European Economic Community have whole heartedly accepted the notion that useful data sharing is not possible
without formal semantic data models of the context the data describes
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