Location based semantic information retrieval from web documents using web crawler

Today´s web is a human-readable where information cannot be easily processed by the machine. At the same time, the enormous amount of data has made it increasingly difficult to find, access, present, and maintain relevant information. The present data retrieval techniques are based on the full content coordinating of keywords, which lack the semantic data. In this paper the semantic based information retrieval methodology is proposed to get data from the web archives in a specific domain by gathering the domain relevant information with web crawler. By utilizing ontology and semantic information matched with a given user´s query is used for retrieval. The results are discussed for retrieving attractive tourist places in a particular city. Analyses are carried out by comparing results obtained with and without wordnet, with ontology and both ontology and wordnet respectively. The analysis carried out reveals that the proposed system is working efficiently.