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Fuzzy XML Data Models

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Fuzzy XML Data Management

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 311))

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Abstract

Information is often imprecise and uncertain in many real-world applications, and thus fuzzy data modeling has been extensively investigated in various database models as introduced in Chap. 2. Currently, huge amounts of electronic data are available on the Internet, and XML has been the de facto standard of information representation and exchange over the Web. Unfortunately, XML is not able to represent and process imprecise and uncertain data. To represent and manage the imprecise and uncertain data, Zadeh’s fuzzy set theory has been introduced into XML to extend XML such that uncertain and imprecise information can be represented and manipulated. The extended XML model together with the fuzzy database models introduced in Chap. 2 are the key techniques for managing fuzzy data. In this chapter, we mainly introduce fuzzy XML data model.

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References

  • Abiteboul S, Segoufin L, Vianu V (2001) Representing and querying XML with incomplete information. In: Proceedings of the ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems (PODS), pp 150–161

    Google Scholar 

  • Antoniou G, van Harmelen F (2004) A semantic web primer. MIT Press, Cambridge

    Google Scholar 

  • Bray T, Paoli J, Sperberg-McQueen CM (eds) (1998) Extensible markup language (XML) 1.0, W3C Recommendation. http://www.w3.org/TR/1998/REC-xml-19980210

  • Gaurav A, Alhajj R (2006) Incorporating fuzziness in XML and mapping fuzzy relational data into fuzzy XML. In: Proceedings of ACM symposium on applied computing, ACM, pp 456–460

    Google Scholar 

  • Hung E, Getoor L, Subrahmanian VS (2003) PXML: a probabilistic semistructured data model and algebra. In: Proceedings of the 19th international conference on data engineering (ICDE’03), pp 467–478

    Google Scholar 

  • Kianmehr K, Özyer T, Lo A, Jiwani A, Alimohamed Y, Spence K, Alhajj R (2010) Human centric data representation: from fuzzy relational databases into fuzzy XML. In: Ma Z (ed) Soft computing in XML data management. Springer, Berlin

    Google Scholar 

  • Lee J, Fanjiang Y (2003) Modeling imprecise requirements with XML. Inf Softw Technol 45(7):445–460

    Article  Google Scholar 

  • Ma ZM (2005) Fuzzy database modeling with XML (the Kluwer international series on advances in database systems). Springer, New York

    Google Scholar 

  • Ma ZM, Yan L (2007) Fuzzy XML data modeling with the UML and relational data models. Data Knowl Eng 63(3):970–994

    Article  MathSciNet  Google Scholar 

  • Ma ZM, Liu J, Yan L (2010) Fuzzy data modeling and algebraic operations in XML. Int J Intell Syst 25(9):925–947

    MATH  Google Scholar 

  • Nierman A, Jagadish HV (2002) ProTDB: probabilistic data in XML. In: Proceedings of the VLDB 2002, pp 646–657

    Google Scholar 

  • Oliboni B, Pozzani G (2008) Representing fuzzy information by using XML schema. In: Proceedings of database and expert systems applications (DEXA 2008), pp 683–687

    Google Scholar 

  • Senellart P, Abiteboul S (2007) On the complexity of managing probabilistic XML data. In: Proceedings of the ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems (PODS), pp 283–292

    Google Scholar 

  • Tseng C, Khamisy W, Vu T (2005) Universal fuzzy system representation with XML. Comput Stand Interfaces 28(2):218–230

    Article  Google Scholar 

  • Turowski K, Weng U (2002) Representing and processing fuzzy information-an XML-based approach. J Knowl Based Syst 15(1–2):67–75

    Article  Google Scholar 

  • Zhang F, Ma ZM, Yan L (2013) Construction of fuzzy ontologies from fuzzy XML models. Knowl Based Syst 42:20–39

    Article  Google Scholar 

Download references

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Correspondence to Li Yan .

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Yan, L., Ma, Z., Zhang, F. (2014). Fuzzy XML Data Models. In: Fuzzy XML Data Management. Studies in Fuzziness and Soft Computing, vol 311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44899-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-44899-7_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-44898-0

  • Online ISBN: 978-3-642-44899-7

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