Issue No. 06 - June (2012 vol. 24)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.72
Juyoung Kang , Dept. of e-Bus., Ajou Univ., Suwon, South Korea
Sangun Park , Dept. of Manage. Inf. Syst., Kyonggi Univ., Suwon, South Korea
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.
Web sites, data mining, ontologies (artificial intelligence), semantic Web, real-world application, similar Web sites, inferential rules, semantic Web applications, automatic repeated rule acquisition procedure, rule to onto ontology rule, rule component identification step, A* algorithm, ontology-based rule acquisition approach, Ontologies, Web pages, Cognition, Semantic Web, Knowledge acquisition, Semantics, best-first search., Rule acquisition, rule ontology
Juyoung Kang and Sangun Park, "Using Rule Ontology in Repeated Rule Acquisition from Similar Web Sites," in IEEE Transactions on Knowledge & Data Engineering, vol. 24, no. , pp. 1106-1119, 2012.