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
Link To Document :
بازگشت