Semantic Web Crawler Based on Lexical Database

Crawlers are basic entity that makes search engine to work efficiently in World Wide Web. Semantic Concept is implied into the search engine to provide precise and constricted search results which is required by end users of Internet. Search engine could be enhanced in searching mechanism through semantic Lexical Database such as WordNet, ConceptNet, YAGO, etc; Search results would be retrieved from Lexical and Semantic Knowledge Base (KB) by applying word sense and metadata technique based on the user query. The Uniform Resource Locater (URL) could be added and updated by the user to Semantic knowledge base so that crawlers can easily extract meta data and text which is available in specified web page. The proposed methodology enables web crawler to extract all meta tags and metadata from the web page which are stored in Semantic KB, hence search results are expected to be more significant and effective.