SEMINAR REPORT ON WiKi’mantics: interpreting ontologies with WikipediA

The main task of ontology based Semantic Web is finding the accurate semantics hiding beneath the superficial representation of ontological entities. This, however, is not an easy task due to the ambiguous nature of semantics. There is a lack of systematic engineering method to guide how we comprehend semantics. Even though precise logic formulae can be used as the canonical representation of ontological entities, understanding of such formulae may vary. A feasible solution to juxtapose semantics interpretation is to reflect human cognitive variations. For this, an approximation of semantics using sets of words/phrases is done, referred to as WiKimantic vectors. These vectors are emerged through a set of well-tuned methods gradually surfacing the semantics that remain implicit otherwise. Given a concept, we first identify its conceptual niche amongst its neighbours in the graph representation of the ontology. Natural language paraphrases of the isolated sub-graph are then generated and this textual description is projected upon a large document repository. WiKimantic vectors are then drawn from the document repository.