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Combining an Inference Engine with Databases: A Rule Server

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Rules and Rule Markup Languages for the Semantic Web (RuleML 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2876))

Abstract

Complex Semantic Web applications require easy-to-use tools for data and rule storage along with query mechanisms. We describe a prototype server software RLS which is used similarly to the ordinary usage of SQL RDBMS software in application programming. The server combines first-order theorem provers with several query and rule language layers for application development in the Semantic Web context.

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References

  1. Berners-Lee, T., Connolly, D., Hawke, S.: Semantic Web tutorial using N3 (2003), http://www.w3.org/2000/10/swap/doc/tutorial-1.pdf

  2. Robinson, A.J., Voronkov, A. (eds.): Handbook of Automated Reasoning. MIT Press, Cambridge (2001)

    MATH  Google Scholar 

  3. Baader, F., Calvanese, V., McGuinness, V., Nardi, D., Patel-Schneider, P. (eds.): The Description Logic Handbook. Cambridge University Press, Cambridge (2003)

    MATH  Google Scholar 

  4. Tammet, T.G.: Journal of Automated Reasoning 18(2), 199–204 (1997)

    Article  Google Scholar 

  5. Tammet, T.: Towards Efficient Subsumption. In: Kirchner, C., Kirchner, H. (eds.) CADE 1998. LNCS (LNAI), vol. 1421, pp. 427–441. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  6. Tammet, T.G.: Tallinn Technical University, http://www.ttu.ee/it/gandalf/

  7. Tammet, T.: Extending classical theorem proving for the Semantic Web. Draft paper

    Google Scholar 

  8. Simple Common Logic. Mailing list archive of the working group, http://philebus.tamu.edu/mailman/listinfo/scl

  9. RDF Semantics. In: Hayes, P. (ed.) W3C Working Draft, W3C (January 23, 2003), http://www.w3.org/TR/rdf-mt/

  10. OWL Web Ontology Language. In: Patel-Schneider, P.F, Hayes, P., Horrocks, I., (eds.) Semantics and Abstract Syntax. W3C Working Draft, W3C (March 31, 2003), http://www.w3.org/TR/owl-semantics/

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© 2003 Springer-Verlag Berlin Heidelberg

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Tammet, T., Kadarpik, V. (2003). Combining an Inference Engine with Databases: A Rule Server. In: Schröder, M., Wagner, G. (eds) Rules and Rule Markup Languages for the Semantic Web. RuleML 2003. Lecture Notes in Computer Science, vol 2876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39715-1_10

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  • DOI: https://doi.org/10.1007/978-3-540-39715-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20361-2

  • Online ISBN: 978-3-540-39715-1

  • eBook Packages: Springer Book Archive

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