An Approach for Comparative Research Between Ontology Building & Learning Tools for Information Extraction & Retrieval

Abstract—Information available on the web is huge & it covers diversified fields. Nowadays most of search engines use essentially keyword based search techniques. We simply specify a set of keywords or query as a request and a reference we get a list of pages, ranked based on similarity of query. Currently searching web face with one problem that many times outcome is not satisfactory because of irrelevance of the information. Searching the exact information from such a huge repository of unstructured web data is still main area of research interest. One solution to achieve this is Semantic Web. Ontology is an effective concept commonly used for the Semantic Web. Ontology is “an explicit specification of a conceptualization”. There are two main pillars of semantic Web one is Problem Solving Methods & another is Ontology. Ontology building is a tedious job and a time consuming task for user. The quality of ontology plays an important role in information retrieval application .This paper deals with features & familiarity with different Ontology building & learning tools. After all the preliminary knowledge about all tools & software we have made research about specific features & services provided by some tools & identified the optimum tool in all respect for particularly for our further research project.