Building an ontology based on hub words for information retrieval

Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003

Volumn , Issue , 2003, Pages 466-469

  Koo, Sang Ok ^a   Lim, Soo Yeon ^a   Lee, Sang Jo ^a  

^a Kyungpook National University   (South Korea)

Author keywords

Buildings; Computer science; Frequency; Information processing; Information retrieval; Laboratories; Ontologies; Statistical analysis; Text analysis; Vocabulary

Indexed keywords

BUILDINGS; COMPUTER SCIENCE; DATA PROCESSING; LABORATORIES; ONTOLOGY; SEMANTICS; STATISTICAL METHODS;

AUTOMATIC ONTOLOGY; DOCUMENT RETRIEVAL; EXTENSION METHODS; FREQUENCY; ONTOLOGY CONSTRUCTION; SEMANTIC INFORMATION; TEXT ANALYSIS; VOCABULARY;

INFORMATION RETRIEVAL;

EID: 41949119436     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2003.1241241     Document Type: Conference Paper

References (5)

1. R. Baeza-Yates and B. Robeiro-Neto. Modern Information Retrieval. ACM Press, New York, NY, USA, 1999.
2. N. Guarino. Formal ontology and information systems. In Proceeding of the 1st International Conference, Trento, Italy, lOS Press, June 1998.
3. S. J. Kang and J. H. Lee. Semi-automatic practical ontology construction by using a thesaurus, computational dictionaries, and large corpora. ACL 2001 Workshop on Human Language Technology and Knowledge Management, Toulouse, France, 2001.
4. O. Lassila and R. S. Ralph. Resource Description Framework (RDF) Model and Syntax Specification. World Wide Web Consortium, http://www.w3.org/TR/1999/REC-rdf-syntax-19990222, 1999.
5. A. Maedche. Ontology learning for the semantic web. Kluwer Academic Publishers, Boston.