Semantic Web: A Topic Specific Search

Abstract

Topic - based search provides a promising paradigm for formulating complex semantic queries and representing results on the semantic web. A challenge for the application of the paradigm is the complexity of providing topic - based search services through application programming interfaces (API) and web services. In this paper topic specific search is done on domain like plants and animals. Using the ontology of animal and plant kingdom, the search engine is trained for topic based searching by constructing XML file for various plants and animals. Several images of plants and animals are crawled and classified into the various categories of animals and plants. The search results include the detail information of animal or plant searched along with the image of that category. An additional image filtering tool is designed to narrow down search results according to the user need.