OntoQuest: Exploring Ontological Data Made Easy

VLDB 2006 - Proceedings of the 32nd International Conference on Very Large Data Bases

Volumn , Issue , 2006, Pages 1183-1186

  Chen, Li ^a   Martone, Maryann ^b   Gupta, Amarnath ^a   Fong, Lisa ^b   Wong Barnum, Mona ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL STORAGE; MAPPING; QUERY LANGUAGES; RESOURCE DESCRIPTION FRAMEWORK (RDF); SEARCH ENGINES;

BACK-END DATABASE; CONTEXT-AWARE; DATA EXPLORATION; EXPLORATION PROCESS; MAPPING SCHEME; ONTOLOGY CONCEPTS; ONTOLOGY QUERY; OWL ONTOLOGIES; SCIENTIFIC APPLICATIONS; USAGE CONTEXT;

ONTOLOGY;

EID: 85134430024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. L. Chen, A. Gupta, and M. E. Kurul. Stack-based Algorithms for Pattern Matching on DAGs. In International Conference on Very Large Data Bases (VLDB), Trondheim, Norway, pages 493–504, 2005.
2. V. Haarslev, R. Mller, and M. Wessel. Racer Systems. http://www.sts.tu-harburg.de/ r.f.moeller/racer.
3. I. Horrocks. The FaCT System. http://www.cs.man.ac.uk/ horrocks/FaCT.
4. HP Labs Semantic Web Research. Jena A Semantic Web Framework for Java. http://jena.sourceforge.net.
5. D. L. McGuinness and F. V. Harmelen. OWL - Web Ontology Language Overview. http://www.w3.org/TR/2004/REC-owl-features-20040210, Feb. 2004.
6. Stanford University. Protege: An Open Source Ontology Editor Tool. http://protege.stanford.edu.