Action Rule Mining With Predications on Semantic Representations of Data

Abstract

Without a doubt, the World Wide Web (WWW) has already altered the way we share knowledge. The exploitation of the web is one of the biggest challenges in the area of intelligent information management. The Semantic Web was presented to ease this situation by taking the WWW into a distributed global system for knowledge representation and computing. In this work, we study action rule mining in the semantic web data and aim to assist users in uncovering previously unknown and potentially useful workable strategies. We present rule-based action rules and object-based action rules for extracting actionable patterns from a large graph dataset without the extra step of converting graph data into transaction data.