Imitated Rulepossession From Identical Web Sites Using Rule Ontology

The rule ontology is a generalized, condensed, and specifically rearranged version of the existing rules. Rule acquisition research is relatively unpopular while there are many works on ontology learning. We proposed an automatic rule acquisition procedure using ontology, named Rule To Onto, that includes information about the rule components and their structures. We started from the idea that it will be helpful to acquire rules from a site if we have similar rules acquired from other similar sites of the same domain. Rule To Onto is a generalized, condensed, and specifically rearranged version of the existing rules. The rule acquisition procedure consists of the rule component identification step and the rule composition step. We used stemming and semantic similarity in the former step and developed the A* algorithm[1] in the latter step. This paper focuses on using Rules Extraction to automatically augment web pages with semantic annotations, and find out whether and how ontology Rules Extractions could be used in the extraction