Title :
Ontology-based Association Rules Retrieval using Protege Tools
Author :
Shen, Bin ; Yao, Min ; Wu, Zhaohui ; Zhang, Yangu ; Yi, Wensheng
Author_Institution :
Coll. of Comput., Zhejiang Univ., Hangzhou, Vic.
Abstract :
The existed methods of association rules retrieval have not given enough high-level semantic information retrieval support. In order to resolve this problem, the authors propose a new method of association rules retrieval that is based on ontology and semantic Web. Ontology-based association rules retrieval method can well deal with the problems of rule semantics sharing, rule semantics consistency and intelligibility. The authors discuss the ontology-based association rules retrieval method in detail and implement a prototype system called O-ARR using Protege tools. In this paper, the system architecture of O-ARR is firstly brought forward, and then the retrieval methods of O-ARR are listed and discussed. Several key issues of O-ARR, which include establishment of rule retrieval ontology, annotation of ontology instance, query parse and user interface, are analyzed. The method also gives a technique support for further rule information utilization, such as rule information automatic analysis and intelligent reasoning
Keywords :
data mining; information retrieval; ontologies (artificial intelligence); semantic Web; O-ARR; Protege tools; association rules retrieval; intelligent reasoning; query parse; rule information automatic analysis; rule retrieval ontology; rule semantics consistency; rule semantics sharing; semantic Web; semantic information retrieval support; technique support; user interface; Association rules; Computer science; Data mining; Educational institutions; Indexes; Information analysis; Information retrieval; Ontologies; Prototypes; Semantic Web;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.126