Keyword-based Semantic Retrieval System using Location Information in a Mobile Environment

Many services for mobile devices and wireless network have been studied in a Ubiquitous Environment. Mobile information retrieval is crucial to share the vast information and multimedia content. Mobile information retrieval has three challenges; 1) Mobile devices have a small display area. Thus, users are more interested in precision than in recall. 2) Mobile device portability means users frequently change their interest with location. 3) Though wireless development is progressing; its response rate and mobile device processing ability are still lower than for a wired network and PC. To meet these challenges, we propose keyword-based semantic mobile search system using ontology and location information. Through the experiment, we prove that providing the user's selection of the semantic result improved precision. Current location information can be used to provide location-based multimedia content using GPS module and map with mash-up service. Finally, the response rate of the service was demonstrated to be faster through a java-based Lucene engine for keyword-based retrieval module and dividing the result of retrieval.