Advertisement

Fuzzy Semantic Web Ontology Mapping

Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 306)

References

  1. Bahri A, Bouaziz R, Gargouri F (2007) Dealing with similarity relations in fuzzy ontologies. In: Proceedings of fuzzy systems conference, pp 1–6Google Scholar
  2. Bakillah M, Mostafavi MA (2011) A fuzzy logic semantic mapping approach for fuzzy geospatial ontologies. In: Proceedings of SEMAPRO 2011, Lisbon, Portugal, pp 21–28Google Scholar
  3. Doan A, Madhavan J, Domingos P, Halevy A (2002) Learning to map between ontologies on the semantic web. In: Proceedings of the eleventh international world wide web conference, pp 662–673Google Scholar
  4. Jiang J, Conrath DW (1997) Semantic similarity based on corpus and lexical taxonomy. In: Proceedings of the 10th international conference on computational linguisticsGoogle Scholar
  5. Li GY, Zhao Y, Rao ZM (2012) A modularized multi-strategy fuzzy ontology mapping method. Inform Technol J 11:1730–1736CrossRefGoogle Scholar
  6. Lin D (1998) An information-theoretic definition of similarity. In: Proceedings of the 15th international conference on machine learningGoogle Scholar
  7. Ma ZM, Zhang LY (2013) A conceptual graph based approach for mappings among multiple fuzzy ontologies. J Web Eng 26: 427–441 (in press)Google Scholar
  8. Ma ZM, Zhang WJ, Ma WY (2004) Extending object-oriented databases for fuzzy information modeling. Inf Syst 29(5):421–435CrossRefGoogle Scholar
  9. Ma ZM, Zhang WJ, Ma WY (1999) Assessment of data redundancy in fuzzy relational databases based on semantic inclusion degree. Inf Process Lett 72(1–2):25–29CrossRefGoogle Scholar
  10. Miller GA, Beckwith R, Fellbaum C, Gross D, Miller KJ (1990) Introduction to wordNet: an online lexical database. Int J Lexicography 3(4):235–244CrossRefGoogle Scholar
  11. Ross S (1976) A first course in probability. University of Southern California Upper Saddle River, New Jersey 07458MATHGoogle Scholar
  12. Resnik P (1995) Using information content to evaluate semantic similarity. In Proceedings of the international joint conference on artificial intelligence (IJCAI95), pp 448–453Google Scholar
  13. Sowa JF (1984) Conceptual structures—information processing in mind and machine. Addison-Welsey, BostonGoogle Scholar
  14. Wang Y, Zhang RB, Lai JB (2009) Measuring concept similarity between fuzzy ontologies. Fuzzy Inf Eng 2:163–171Google Scholar
  15. Xu BW, Kang DZ, Lu JJ, Li YH, Jiang JX (2005) Mapping fuzzy concepts between fuzzy ontologies. In: Proceedings of 9th international conference on knowledge-based intelligent information and engineering systems (KES 2005), pp 199–205Google Scholar
  16. Xu X, Wu Y, Chen J (2010) Fuzzy FCA based ontology mapping. In: Proceedings of the first international conference networking and distributed computing, pp 181–185Google Scholar
  17. Zhao Y, Wang X, Halang WA (2007) Ontology mapping techniques in information integration. In: Cruz-Cunha M, Cortes B, Putnik G (eds) Adaptive technologies and business integration: social, managerial and organizational dimensions, IGI Global, Hershey (Pennsylvania, USA), pp 306–326Google Scholar
  18. Zhang LY, Ma ZM (2012) ICFC: a method for computing semantic similarity among fuzzy concepts in a fuzzy ontology. In: Proceedings of FUZZ-IEEE 2012, pp 1–8Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Northeastern UniversityShenyangPeople’s Republic of China

Personalised recommendations