document: Toward expressive syndication on the web Syndication systems on the Web have attracted vast amounts of attention in recent years . As technologies have emerged and matured , there has been a transition to more expressive syndication approaches ; that is , subscribers and publishers are provided with more expressive means of describing their interests and published content , enabling more accurate information filtering . In this paper , we formalize a syndication architecture that utilizes expressive Web ontologies and logic-based reasoning for selective content dissemination . This provides finer grained control for filtering and automated reasoning for discovering implicit subscription matches , both of which are not achievable in less expressive approaches . We then address one of the main limitations with such a syndication approach , namely matching newly published information with subscription requests in an efficient and practical manner . To this end , we investigate continuous query answering for a large subset of the Web Ontology Language ( OWL ) ; specifically , we formally define continuous queries for OWL knowledge bases and present a novel algorithm for continuous query answering in a large subset of this language . Lastly , an evaluation of the query approach is shown , demonstrating its effectiveness for syndication purposes .
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