SEMANTIC BASED SEARCH ENGINE

Abstract

Internet search engines are special sites on the web that are designed to help people find information stored on other sites. There are differences in the ways various search engines work, but they all perform these basic tasks- Searching the Web based on important words to build their databases; keeping an index of the words they find, and where they find them; allowing users to look for words or combinations of words found in that index. Most of the today's search engines perform key word search causing search irrelevance and incompleteness of the search. To over come these problems semantic search is used. To perform semantic search two approaches may be considered: • Search based on Semantic Web • Search based on Generic Relevance Semantic Web Search: The Semantic Web comprises recent work to improve the relevance of search results by integrating semantics into Web pages, which focuses primarily on defining standards based on an ontology or a metadata model and syntax like the World Wide Web Consortium's resource description framework. Semantic frameworks are arguably an interesting approach for a single organization or a limited topic, especially where particular functionality exists to restrict the ontology and thus allow semiautomatic support for query processing. The approach has also proven useful for navigating subject-specific sites. Generic Relevance Search: Relevance is typically person dependent, so personalization becomes important feature of this search. User constructs a profile based on his search intention. Using his profile the search is expanded or narrowed down to a particular topic. This approach is very useful for some restricted domains. To find the user relevant meaning of the given query terms WordNet is used. 0 NI