Title :
Using Rule Ontology in Repeated Rule Acquisition from Similar Web Sites
Author :
Park, Sangun ; Kang, Juyoung
Author_Institution :
Dept. of Manage. Inf. Syst., Kyonggi Univ., Suwon, South Korea
fDate :
6/1/2012 12:00:00 AM
Abstract :
Inferential rules are as essential to the Semantic Web applications as ontology. Therefore, rule acquisition is also an important issue, and the Web that implies inferential rules can be a major source of rule acquisition. We expect that it will be easier to acquire rules from a site by using similar rules of other sites in the same domain rather than starting from scratch. We proposed an automatic rule acquisition procedure using a rule ontology RuleToOnto, which represents information about the rule components and their structures. The rule acquisition procedure consists of the rule component identification step and the rule composition step. We developed A* algorithm for the rule composition and we performed experiments demonstrating that our ontology-based rule acquisition approach works in a real-world application.
Keywords :
Web sites; data mining; ontologies (artificial intelligence); semantic Web; A* algorithm; automatic repeated rule acquisition procedure; inferential rules; ontology-based rule acquisition approach; real-world application; rule component identification step; rule to onto ontology rule; semantic Web applications; similar Web sites; Cognition; Knowledge acquisition; Ontologies; Semantic Web; Semantics; Web pages; Rule acquisition; best-first search.; rule ontology;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
DOI :
10.1109/TKDE.2011.72