Abstract
This paper deals with the semantic web and web ontology. The existing ontology development processes are not catered towards casual web ontology development, a notion analogous to standard web page development. Ontologies have become common on the World-Wide Web[2]. Key features of this process include easy and rapid creation of ontological skeletons, searching and linking to existing ontologies and a natural language-based technique to improve presentation of ontologies[6]. Ontologies, however, vary greatly in size, scope and semantics. They can range from generic upper-level ontologies to domain-specific schemas. The success of the Semantic Web is based on the existance of numerous distributed ontologies, using which users can annotate their data, thereby enabling shared machine readable content. This paper elaborates the stages in a casual ontology development process.
Highlights
The notion of the Semantic Web has been gaining prominence, in which users can create precise, unambiguous encodings of information in a machine readable format
The success of the Semantic Web is based on the existence of numerous distributed ontologies, using which users can annotate their data, thereby enabling shared machine readable content Ontologies, vary greatly in size, scope and semantics
Most of the tools provide an integrated environment to build and edit ontologies, check for errors and inconsistencies, browse multiple ontologies, share and reuse existing data by establishing mappings among different ontological entities. These tools are influenced by traditional Knowledge Representation (KR)-based ontology engineering methodologies, with steep-learning curves, making it cumbersome to use for casual web ontology development
Summary
The notion of the Semantic Web has been gaining prominence, in which users can create precise, unambiguous encodings of information in a machine readable format. The success of the Semantic Web is based on the existence of numerous distributed ontologies, using which users can annotate their data, thereby enabling shared machine readable content Ontologies, vary greatly in size, scope and semantics They can range from generic upper-level ontologies to domain-specific schemas. They can be created by Knowledge Representation (KR) experts or novice web users, differing widely in authoring style and formal semantics They can be small ontologies containing a handful of concepts or large ontologies containing thousands of terms and relationships. Most of the tools provide an integrated environment to build and edit ontologies, check for errors and inconsistencies, browse multiple ontologies, share and reuse existing data by establishing mappings among different ontological entities These tools are influenced by traditional KR-based ontology engineering methodologies, with steep-learning curves, making it cumbersome to use for casual web ontology development.
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