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A Decidable Fuzzy Description Logic F-ALC(G)

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Database and Expert Systems Applications (DEXA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5181))

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Abstract

The existing Web Ontology languages and the corresponding description logics don’t support customized data type information. Furthermore, they can’t process imprecise and uncertain information in the Semantic Web. In order to solve these limitations, we propose a new kind of fuzzy description logic, F-ALC(G), which can not only support the representation and reasoning of fuzzy concept knowledge, but also support fuzzy data information with customized fuzzy data types and customized fuzzy data type predicates.

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References

  1. Zadeh, L.A.: Fuzzy sets. J. Information and Control 8, 338–353 (1965)

    Google Scholar 

  2. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F.: The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  3. Straccia, U.: Reasoning within fuzzy description logics. J. Journal of Artificial Intelligence Research 14, 137–166 (2001)

    Google Scholar 

  4. Stoilos, G., Stamou, G., Pan, J.Z., Tzouvaras, V., Horrocks, I.: Reasoning with Very Expressive Fuzzy Description Logics. J. Journal of Artificial Intelligence Research 30, 273–320 (2007)

    Google Scholar 

  5. Horrocks, I., Sattler, U.: Ontology reasoning in the SHOQ(D) description logic. In: Proc. 17th International Joint Conference on Artificial Intelligence, pp. 199–204 (2001)

    Google Scholar 

  6. Straccia, U.: Towards a fuzzy description logic for the Semantic Web (Preliminary Report). In: Proc. the 2nd European Semantic Web Conference, pp. 167–181 (2005)

    Google Scholar 

  7. Pan, J.Z., Horrocks, I.: OWL-Eu: Adding Customised Data types into OWL. J. Journal of Web Semantics 4, 29–49 (2006)

    Google Scholar 

  8. Pan, J.Z.: A Flexible Ontology Reasoning Architecture for the Semantic Web. J. IEEE Transaction on Knowledge and Data Engineering 19, 246–260 (2007)

    Google Scholar 

  9. Wang, H.L., Ma, Z.M., Yan, L., Cheng, J.W.: A Fuzzy Description Logic with Fuzzy Data Type Group. In: Proc. the 2008 IEEE International Conference on Fuzzy Systems, pp. 1534–1541. IEEE Press, Hong Kong (2008)

    Google Scholar 

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Authors and Affiliations

  1. School of Information Science & Engineering, Northeastern University, Shenyang, 110004, China

    Hailong Wang & Z. M. Ma

Authors
  1. Hailong Wang
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  2. Z. M. Ma
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Sourav S. Bhowmick Josef Küng Roland Wagner

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© 2008 Springer-Verlag Berlin Heidelberg

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Wang, H., Ma, Z.M. (2008). A Decidable Fuzzy Description Logic F-ALC(G). In: Bhowmick, S.S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2008. Lecture Notes in Computer Science, vol 5181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85654-2_14

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  • DOI: https://doi.org/10.1007/978-3-540-85654-2_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85653-5

  • Online ISBN: 978-3-540-85654-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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