DocumentCode
3422223
Title
CQET. An Triple Facts-Based Query Engine for Processing the Ontologies
Author
Kong, Hyunjang ; Hwang, Myunggwon ; Kim, Pankoo
Author_Institution
Dept. of Comput. Eng., Chosun Univ., Gwangju
fYear
2006
fDate
25-28 Sept. 2006
Firstpage
41
Lastpage
48
Abstract
Many studies about the query languages and inference engines for processing the ontologies have been proposed. The basic ontology query languages are the RQL, RDQL, SPARQL, OWLQL, etc., and the significant inference engines are the Jena, Sesame, Jess, JTP, and so on. However, they have some limitations to process the ontologies completely. In this study, we suggest the new query engine for processing the ontologies and our approach is based on the triple facts gained through preprocessing the ontologies based on the inference rules. Our system can process the RDF(S) ontologies as well as OWL ontologies and it includes the inference function. For achieving our approach, we newly design the controlled query interface to process the triple format files. At the result, we realized that our system is very useful for processing the ontologies
Keywords
inference mechanisms; ontologies (artificial intelligence); query languages; CQET; JTP; Jena; Jess; OWL ontology; OWLQL; RDQL; RQL; SPARQL; Sesame; facts-based query engine; inference engines; ontology query languages; query interface; triple format files; Control systems; Database languages; Database systems; Engines; Microstrip; OWL; Ontologies; Relational databases; Resource description framework; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Next Generation Web Services Practices, 2006. NWeSP 2006. International Conference on
Conference_Location
Seoul
Print_ISBN
0-7695-2664-0
Type
conf
DOI
10.1109/NWESP.2006.12
Filename
4090003
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