Ontology design and development using ontology editors along with semantic search patterns towards intelligent retrieval of information on web: case studies

Abstract

In the present era of transition from Web 2.0 to an Intelligent Web 3.0, Sir Tim Berner's LEE Semantic Web layered architecture, is playing a key role for its significant layer issues where ontology is a milestone in incorporating semantics and in conceptualising shared knowledge of a particular domain or several domains. Ontology development using ontology editors is crucial which may be best realised with case studies. To endow the web itself with intelligence, the need is to provide semantic annotations search patterns on web documents of an ontology where semantic annotation attaches metadata to the documents, pointing to concepts and properties in an ontology and is the glue that ties ontologies into document spaces, via metadata where information is typically exported as text annotated with links to the ontology. Two case studies on ontology development have been presented using Protege and Swoop ontology editors. First, an extended case study of a 'Sports Complex Ontology' is presented using Protege 3.4.4 along with an ontology flowchart and using Swoop 2.3 Beta 4 Ontology Editor is presented highlighting various features like Venn diagram of class hierarchy, fly the mothership, pellet query instance search, ontology partition, adding annotation property, etc. Second, various semantic annotation search patterns based on 'pattern', 'Boolean', and 'facets' have been presented using KIM platform. Third, another case study illustration of a 'Dwarka Shopping Complex Ontology' is presented using SWOOP 2.3 Beta 4 Editor highlighting LHS and RHS of GCI, instances with and without GCI axioms, query retrieval look up, adding property, class expression table and ontology statistics.