Improving Information Retrieval Effectiveness by Using Domain Knowledge Stored in Ontologies

@incollection{citeulike:1373366, abstract = {The huge number of available documents on the Web makes finding relevant ones a challenging task. The quality of results that traditional full-text search engines provide is still not optimal for many types of user queries. Especially the vagueness of natural languages, abstract concepts, semantic relations and temporal issues are handled inadequately by full-text search. Ontologies and semantic metadata can provide a solution for these problems. This work examines how ontologies can be optimally exploited during the information retrieval process, and proposes a general framework which is based on ontology-supported semantic metadata generation and ontology-based query expansion. The framework can handle imperfect ontologies and metadata by combining results of simple heuristics, instead of relying on a “perfect” ontology. This allows integrating results from traditional full-text engines, and thus supports a gradual transition from classical full-text search engines to ontology-based ones.}, author = {Nagyp\'{a}l, G\'{a}bor }, citeulike-article-id = {1373366}, doi = {http://dx.doi.org/10.1007/11575863\_98}, journal = {On the Move to Meaningful Internet Systems 2005: OTM Workshops}, keywords = {history--ontology, information\_retrieval, information\_retrieval--historical, ontologies--domain, vicodi}, pages = {780--789}, posted-at = {2007-06-08 20:49:06}, priority = {0}, title = {Improving Information Retrieval Effectiveness by Using Domain Knowledge Stored in Ontologies}, url = {http://dx.doi.org/10.1007/11575863\_98}, year = {2005} }

TY - CHAP ID - citeulike:1373366 L3 - citeulike-article-id:1373366 TI - Improving Information Retrieval Effectiveness by Using Domain Knowledge Stored in Ontologies JF - On the Move to Meaningful Internet Systems 2005: OTM Workshops SP - 780 EP - 789 N2 - The huge number of available documents on the Web makes finding relevant ones a challenging task. The quality of results that traditional full-text search engines provide is still not optimal for many types of user queries. Especially the vagueness of natural languages, abstract concepts, semantic relations and temporal issues are handled inadequately by full-text search. Ontologies and semantic metadata can provide a solution for these problems. This work examines how ontologies can be optimally exploited during the information retrieval process, and proposes a general framework which is based on ontology-supported semantic metadata generation and ontology-based query expansion. The framework can handle imperfect ontologies and metadata by combining results of simple heuristics, instead of relying on a “perfect” ontology. This allows integrating results from traditional full-text engines, and thus supports a gradual transition from classical full-text search engines to ontology-based ones. KW - history--ontology KW - information_retrieval KW - information_retrieval--historical KW - ontologies--domain KW - vicodi AU - Nagypál, Gábor PY - 2005/// UR - http://dx.doi.org/10.1007/11575863_98 ER -