Abstract
The Semantic Web is envisioned as the next generation web in which data instances are enriched with metadata defined in ontologies to describe the meaning of its instances. In this paper, we present an approach that exploits ontologies in guiding the change detection to their data instances. Inference rules are identified based on the semantic relationships among concepts, properties and instances as well as their change behaviors. Starting with changes to some seed instances, a reasoning engine is designed to fire the pre-defined rule set and act on ontologies to project some semantically associated concepts as target concepts. Certain instances of these target concepts are further selected as target instances, which have a high likelihood of having changed. Our approach is specifically oriented toward the Semantic Web, thus it has intelligence to exploit the semantic associations among data instances and make smart decisions.
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References
Berners-Lee, T.: Universal Resource Identifiers – Axioms of Web Architecture, Available at http://www.w3.org/DesignIssues/Axioms.html
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American (May 2001)
Brewington, B.E., Cybenko, G.: How Dynamic is the Web? In: 9th World Wide Web Conference (2000)
Chawathe, S.S., Rajaraman, A., Garcia-Molina, H., Widom, J.: Change Detection in Hierarchically Structured Information. In: ACM SIGMOD International Conference on Management of Data, pp. 493–504 (1996)
Cho, J., Garcia-Molina, H.: Estimating Frequency of Change. ACM Transactions on Internet Technology 3(3) (2003)
Cho, J., Garcia-Molina, H.: The Evolution of the Web and Implications for an Incremental Crawler. In: 26th International Conference on Very Large Databases, pp. 200–209 (2000)
Cho, J., Garcia-Molina, H.: Synchronizing a Database to Improve Freshness. In: ACM SIGMOD International Conference on Management of Data, pp. 117–128 (2000)
Cobena, G., Abiteboul, S., Marian, A.: Detecting Changes in XML Documents. In: International Conference on Data Engineering (2002)
OWL Web Ontology Language Guide, Available at http://www.w3.org/TR/owl-guide/
OWL Web Ontology Language Use Cases and Requirements, Available at http://www.w3.org/TR/2004/REC-webont-req-20040210/
Qin, L., Atluri, V.: An Access Scheduling Tree to Achieve Optimal Freshness in Local Repositories. In: Electronic Commerce and Web Technologies, pp. 227–236 (2003)
Resource Description Framework (RDF), Available at http://www.w3.org/RDF/
RDF Vocabulary Description Language 1.0: RDF Schema, Available at http://www.w3.org/TR/rdf-schema/
Wang, Y., DeWitt, D.J., Cai, J.-Y.: X-Diff: A Fast Change Detection Algorithm for XML Documents. In: Proceedings of International Conference on Data Engineering (2003)
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© 2004 Springer-Verlag Berlin Heidelberg
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Qin, L., Atluri, V. (2004). Ontology-Guided Change Detection to the Semantic Web Data. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, TW. (eds) Conceptual Modeling – ER 2004. ER 2004. Lecture Notes in Computer Science, vol 3288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30464-7_47
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DOI: https://doi.org/10.1007/978-3-540-30464-7_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23723-5
Online ISBN: 978-3-540-30464-7
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