Semantic data model .

• semantic data model

https://store.theartofservice.com/the-semantic-data-model-toolkit.html

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.


Data modeling Semantic data modeling

1 A semantic data model is an abstraction which defines how the stored symbols relate to the real

world



1 A semantic data model can be used to serve

many purposes, such as:



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.


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


world


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.


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.


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).


Semantic data model

1 A 'semantic data model' in software engineering has

various meanings:


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.


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.


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.


Semantic data model - Overview


world


Semantic data model - Overview

1 Semantic data modeling In:

Metaclasses and Their Application


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


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.



1 The definition of the Gellish language is documented in the form of a semantic data

model


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.


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.


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.


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.


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.


Structured data - Semantic data model


world


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


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


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)...


IDEF1X

1 'IDEF | Integration DEFinition for Information Modeling (IDEF1X)' is a data modeling modeling language|language for the development of

semantic data models


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.


IDEF1X - History

1 The need for semantic data models was first recognized by

the U.S


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.


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:


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


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


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


For More Information, Visit:

• https://store.theartofservice.com/the-semantic-data-model-toolkit.html

The Art of Servicehttps://store.theartofservice.com






Semantic data model .

Documents

Transcript of Semantic data model .