Another look at automatic text-retrieval systems
Communications of the ACM
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
A Conceptual Modeling Approach for Semantics-Driven Enterprise Applications
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
Concept-based ranking: a case study in the juridical domain
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Temporal document retrieval model for business news archives
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
An ontology-based information retrieval model
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
How to represent meanings in an ontology
Acta Cybernetica
Ontological Profiles as Semantic Domain Representations
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
On Significance of Ontology Quality in Ontology-Driven Web Search
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Searching with Document Space Adapted Ontologies
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Measuring intrinsic quality of semantic search based on feature vectors
International Journal of Metadata, Semantics and Ontologies
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Research on ontology-driven information retrieval
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Query terms abstraction layers
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Ontology supported automatic generation of high-quality semantic metadata
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Document space adapted ontology: application in query enrichment
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Cross-lingual information retrieval by feature vectors
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Bees Swarm Optimization for Real Time Ontology Based Information Retrieval
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Enhanced semantic representation for improved ontology-based information retrieval
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 2 of 2
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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.