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tOWL: Integrating Time in OWL

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Semantic Web Information Management

Abstract

The Web Ontology Language (OWL) is the most expressive standard language for modeling ontologies on the Semantic Web. In this chapter, we present the temporal OWL (tOWL) language: a temporal extension of the OWL DL language. tOWL is based on three layers added on top of OWL DL. The first layer is the Concrete Domains layer, which allows the representation of restrictions using concrete domain binary predicates. The second layer is the Time Representation layer, which adds time points, intervals, and Allen’s 13 interval relations. The third layer is the Change Representation layer which supports a perdurantist view on the world, and allows the representation of complex temporal axioms, such as state transitions. A Leveraged Buyout process is used to exemplify the different tOWL constructs and show the tOWL applicability in a business context.

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References

  1. Allen, J.F.: Maintaining knowledge about temporal intervals. Commun. ACM 26(11), 832–843 (1983)

    Article  MATH  Google Scholar 

  2. Baader, F., Hanschke, P.: A scheme for integrating concrete domains into concept languages. In: 12th International Joint Conference on Artificial Intelligence (IJCAI 1991), pp. 452–457. Morgan Kaufmann, San Mateo (1991)

    Google Scholar 

  3. Bechhofer, S., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D.L., Patel-Schneider, P.F., Stein, L.A.: OWL Web Ontology Language reference. W3C Recommendation 10 February 2004 (2004). http://www.w3.org/TR/owl-ref/

  4. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Sci. Am. 284(5), 34–43 (2001)

    Article  Google Scholar 

  5. Brickley, D., Guha, R.: RDF Vocabulary Description Language 1.0: RDF Schema. W3C Recommendation 10 February 2004 (2004). http://www.w3.org/TR/rdf-schema/

  6. Gutierrez, C., Hurtado, C.A., Vaisman, A.A.: Introducing time into RDF. IEEE Trans. Knowl. Data Eng. 19(2), 207–218 (2007)

    Article  Google Scholar 

  7. Hanschke, P.: Specifying role interaction in concept languages. In: Third International Conference on Principles of Knowledge Representation and Reasoning (KR 2002), pp. 318–329. Morgan Kaufmann, San Mateo (1992)

    Google Scholar 

  8. Hayes, P.: RDF semantics. W3C Recommendation 10 February 2004 (2004). http://www.w3.org/TR/rdf-mt

  9. Hobbs, J.R., Pan, F.: An ontology of time for the Semantic Web. ACM Trans. Asian Lang. Inf. Process. 3(1), 66–85 (2004)

    Article  Google Scholar 

  10. Hobbs, J.R., Pan, F.: Time ontology in OWL. W3C Working Draft 27 September 2006 (2006). http://www.w3.org/TR/2006/WD-owl-time-20060927/

  11. Klyne, G., Carroll, J.J.: Resource Description Framework (RDF): Concepts and abstract syntax. W3C Recommendation 10 February 2004 (2004). http://www.w3.org/TR/rdf-concepts/

  12. Lutz, C.: Interval-based temporal reasoning with general tboxes. In: Seventeenth International Joint Conference on Artificial Intelligence (IJCAI 2001), pp. 89–96. Morgan Kaufmann, San Mateo (2001)

    Google Scholar 

  13. Lutz, C.: Adding numbers to the SHIQ description logic: first results. In: Eighth International Conference on Principles of Knowledge Representation and Reasoning (KR 2002), pp. 191–202 (2002)

    Google Scholar 

  14. Lutz, C., Milicic, M.: A tableau algorithm for description logics with concrete domains and general TBoxes. J. Autom. Reason. 38(1–3), 227–259 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  15. Milea, V., Frasincar, F., Kaymak, U.: Knowledge engineering in a temporal Semantic Web context. In: Eighth International Conference on Web Engineering (ICWE 2008), pp. 65–74. IEEE Computer Society, Los Alamitos (2008)

    Chapter  Google Scholar 

  16. Pan, F., Hobbs, J.R.: Temporal aggregates in OWL-Time. In: 18th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2005), pp. 560–565. AAAI Press, Menlo Park (2005)

    Google Scholar 

  17. Welty, C.A., Fikes, R.: A reusable ontology for fluents in OWL. In: Fourth International Conference on Formal Ontology in Information Systems (FOIS 2006). Frontiers in Artificial Intelligence and Applications, vol. 150, pp. 226–336. IOS Press, Amsterdam (2006)

    Google Scholar 

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Correspondence to Flavius Frasincar .

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Frasincar, F., Milea, V., Kaymak, U. (2010). tOWL: Integrating Time in OWL. In: de Virgilio, R., Giunchiglia, F., Tanca, L. (eds) Semantic Web Information Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04329-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-04329-1_11

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