Geo-Ontology Based Personalized Information Retrieval

Abstract

The information era created new opportunities as well as challenges for information retrieval. The vast information ocean is growing exponentially and geographical infor- mation holds big portion of it. Thus the geographical reference terms appear in many user queries. The geographical information is highly ambiguous. However the con- ventional search engines don0t bother about the ambiguities and the semantic nature of those geographical reference terms. This causes low precision in search results in geographical information retrieval. Semantic web services and geo-ontology provides a new method and technology for sharing and resolving the ambiguities in geographical information. Through Geo- ontology Based Personalized Information Retrieval I have investigated on the geo- ontology concept for resolving the ambiguities in geographical information and the query expansion mechanism for e cient geographical information retrieval. The experimental results shows that the ability of removing the ambiguities in user queries and the automatic query expansion in geo-ontology based information retrieval causes to higher precision of searching results against the keyword based searching algorithm.