Research On Ontology Merging And Querying And Their Realization

Recently, ontologies have become increasingly common on the World Wide Web where they provide semantics for annotations in web pages. This distributed nature of ontology development has led to a large number of ontologies covering overlapping domains. In order for these ontologies to be reused, they first need to be merged to on another. The processes of ontology merging are usually handled manually and often constitute a large and tedious portion of the sharing process.So, we have developed and implemented an Ontology Merging and Querying System (OMQS) which provides a semi-automatic approach to ontology merging. The tool performs some tasks automatically and guides the user in performing other tasks for which his intervention is required. OMQS is based on a general knowledge model an therefore can be applied across various platforms.As the technology of ontology being applied in many industries, searching in the ontology knowledge base is becoming the key problem. Because of pursuing the high precision, the traditional searching engines require the sufficient comprehension of the structure of the domain ontology for users, but only the domain expert or the developer of the ontology can approach it. In this paper, by extend the predicate semantically in RDF triples, the author introduces a new searching technique that is suitable for normal users, and it can also return the precise results.