Domain and schema independent ontology verbalizing

Abstract

The semantic web has gained vast popularity among current computer scientists and engineers, due to its remarkable attribute of machine readability and human readability. As evidence of witnessing that popularity, thousands of semantic web based knowledge models have been designed, to solve various problems emerging from different domains that are almost freely available in numerous repositories in the web. Semantic web based knowledge models also referred to as ontologies, are domain rich conceptualizations. Hence, they have been widely used to gain computational intelligence, related to areas such as medical sciences, law, management and many other disciplines. Nevertheless, the complexity associated with semantic web-based knowledge representations such as RDF and OWL act as a serious bottleneck in reusability and knowledge dissemination linked with the semantic web. Knowledge retrieval from an existing ontology solely depends on schematics understanding and writing of appropriate SPARQL or SQWRL queries. This would become a really challenging hurdle for non-computer specialists such as medical consultants, lawyers, criminologists who also wish to experience the benefits of semantic web-based technologies. This research emphasizes on proposing a generalized verbalizer which could act as domain and schema independent ontology verbalizer for both RDF and OWL ontologies in human readable English. It is expected this generic verbalizer will widen the horizons of the semantic web-based technologies by opening new ventures for non-technical audiences.