Title :
Ontology-based information retrieval: Overview and new proposition
Author_Institution :
Nat. Sch. of Comput. Sci., RIADI Lab., Univ. of Manouba, Manouba
Abstract :
In order to solve the problem of information overkill, current information retrieval systems need to be improved. Much more ldquointelligencerdquo should be embedded to search systems to manage effectively search, retrieval, filtering and presenting relevant information. This can be done by ontology driven information retrieval, which is considered as one of the high-impact technologies for the next years. The paper provides an overview of ontology-based information retrieval techniques and software tools currently available as prototypes or commercial products. Systems are evaluated using feature classification, which incorporates general characteristics of tools and their information retrieval features. Eventually, we present our contribution in this domain of research.
Keywords :
information filtering; information retrieval systems; ontologies (artificial intelligence); software tools; information overkill; information retrieval systems; ontology-based information retrieval; relevant information filtering; software tools; Information retrieval; Information systems; Joining processes; Laboratories; Markup languages; Ontologies; Semantic Web; Software prototyping; Software tools; Web sites; Information retrieval; Ontologies; Semantic annotation; Semantic indexing; Semantic mapping;
Conference_Titel :
Research Challenges in Information Science, 2008. RCIS 2008. Second International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4244-1677-6
Electronic_ISBN :
978-1-4244-2273-9
DOI :
10.1109/RCIS.2008.4632133