A System for Contextual Search
ABSTRACT In this paper, we present a system that takes an input document and searches semantically-related documents on the Web. Relatedness is measured based on two criteria. One is to check whether some representative words inside the input document appear in candidate documents. The other is to check whether words that describe the contextual information about the input document appear in candidate documents.
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ABSTRACT: In this paper, we present a system that helps users access various types of information sources using ontologies. An ontology consists of a set of concepts and their relationships in a domain of interests. The system ana-lyzes an ontology provided by a user so that the user can search and browse Wikipedia , DBpedia , PubMed , and the Web by utilizing the informa-tion in the ontology. In particular, terms defined in the ontology are mapped to Wikipedia pages and the navigation history of a user is saved so that it can serve as a personalized ontology. In addition, users can create and edit ontologies using the proposed system. We show that the proposed system can be used in an educational environment.