OntoFetcher: An approach for query generation to gather ontologies and ranking them by ensuring user´s context

Ontologies have been widely used to represent a domain and share knowledge. Various researchers working on the same domain can collaborate with each other using this shared knowledge. Building such ontology from scratch is a difficult and time consuming task. This is mainly due to the fact that normally the ontologist does not have expertise of the domain. Therefore to save time one can use existing ontologies. Several existing approaches like AKTiveRank, OntoQA, OntoKhoj and OntoRank have been proposed to search and rank ontologies but each having some limitation. Some techniques just used popularity of ontologies to rank ontologies, while some analyzed the structure of the ontology but missed the context of user. In this paper we propose an ontology searching and ranking scheme which also incorporates the context of the user by asking the required property relationship between concepts. Our system use Swoogle to fetch ontologies. We also propose a query generation process inorder to get those ontologies which contains synonyms and homonyms of user´s queried concepts and properties.