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Ontological Engineering approach of developing Ontology of Information Science

©2015 Textbook 298 Pages

Summary

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.

Details

Pages
298
Type of Edition
Erstausgabe
Year
2015
ISBN (PDF)
9783954899487
ISBN (Softcover)
9783954894482
File size
14.6 MB
Language
English
Publication date
2015 (June)
Keywords
Ontology artificial intelligence Knowledge Representation Visualisation Virtual Communities of Practice Information Science Web Ontology Language
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Title: Ontological Engineering approach of developing Ontology of Information Science