Ontological Engineering Approach of Developing Ontology of Information Science
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| Title: | Ontological Engineering Approach of Developing Ontology of Information Science |
|---|---|
| Description: | Ontology has been a subject of many studies carried out in artificial intelligence (AI) and information system communities. Ontology has become an important component of the semantic web, covering a variety of knowledge domains. Although building domain ontologies still remains a big challenge with regard to its designing and implementation, there are still many areas that need to create ontologies. Information Science (IS) is one of these areas that need a unified ontology model to facilitate information access among the heterogeneous data resources and share a common understanding of the domain knowledge. Recently, the development of domain ontologies has become increasingly important for knowledge level interoperation and information integration. They provide functional features for AI and knowledge representation. Domain Ontology is a central foundation of growth for the semantic web that provides a general knowledge for correspondence and communication among heterogeneous systems. Particularly with a rise of ontology in the artificial intelligence (AI) domain, it can be seen as an almost inevitable development in computer science and AI in general. |
| Authors: | Sawsaa, Ahlam F. |
| Resource Type: | eBook. |
| Subjects: | Expert systems (Computer science) |
| Categories: | COMPUTERS / General |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Ontological Engineering Approach of Developing Ontology of Information Science – Name: Abstract Label: Description Group: Ab Data: Ontology has been a subject of many studies carried out in artificial intelligence (AI) and information system communities. Ontology has become an important component of the semantic web, covering a variety of knowledge domains. Although building domain ontologies still remains a big challenge with regard to its designing and implementation, there are still many areas that need to create ontologies. Information Science (IS) is one of these areas that need a unified ontology model to facilitate information access among the heterogeneous data resources and share a common understanding of the domain knowledge. Recently, the development of domain ontologies has become increasingly important for knowledge level interoperation and information integration. They provide functional features for AI and knowledge representation. Domain Ontology is a central foundation of growth for the semantic web that provides a general knowledge for correspondence and communication among heterogeneous systems. Particularly with a rise of ontology in the artificial intelligence (AI) domain, it can be seen as an almost inevitable development in computer science and AI in general. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sawsaa%2C+Ahlam+F%2E%22">Sawsaa, Ahlam F.</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Expert+systems+%28Computer+science%29%22">Expert systems (Computer science)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+General%22">COMPUTERS / General</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 006.33 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Expert systems (Computer science) Type: general Titles: – TitleFull: Ontological Engineering Approach of Developing Ontology of Information Science Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sawsaa, Ahlam F. – PersonEntity: Name: NameFull: Sawsaa, Ahlam F. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2016 – D: 23 M: 02 Type: profile Y: 2017 Identifiers: – Type: isbn-print Value: 9783954894482 – Type: isbn-electronic Value: 9783954899487 Titles: – TitleFull: Ontological Engineering Approach of Developing Ontology of Information Science Type: main |
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