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A query-oriented XML text summarization for mobile devices

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Abstract

Extensible Markup Language (XML) is a simple, flexible text format derived from SGML, which is originally designed to support large-scale electronic publishing. Nowadays XML plays a fundamental role in the exchange of a wide variety of data on the Web. As XML allows designers to create their own customized tags, enables the definition, transmission, validation, and interpretation of data between applications, devices and organizations, lots of works in soft computing employ XML to take control and responsibility for the information, such as fuzzy markup language, and accordingly there are lots of XML-based data or documents. However, most of mobile and interactive ubiquitous multimedia devices have restricted hardware such as CPU, memory, and display screen. So, it is essential to compress an XML document/element collection to a brief summary before it is delivered to the user according to his/her information need. Query-oriented XML text summarization aims to provide users a brief and readable substitution of the original retrieved documents/elements according to the user’s query, which can relieve users’ reading burden effectively. We propose a query-oriented XML summarization system QXMLSum, which extracts sentences and combines them as a summary based on three kinds of features: user’s queries, the content of XML documents/elements, and the structure of XML documents/elements. Experiments on the IEEE-CS datasets used in Initiative for the Evaluation of XML Retrieval show that the query-oriented XML summary generated by QXMLSum is competitive.

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References

  • Acampora G, Loia V (2005) Fuzzy control interoperability and scalability for adaptive domotic framework. IEEE Trans Ind Inf 1(2):97–111

    Article  Google Scholar 

  • Acampora G, Loia V (2008) A proposal of ubiquitous fuzzy computing for ambient intelligence. Inf Sci 178(3):631–646

    Article  Google Scholar 

  • Acampora G, Gaeta M, Loia V, Vasilakos AV (2010) Interoperable and adaptive fuzzy services for ambient intelligence applications. ACM Trans Auton Adapt Syst 5(2), art. no. 8

    Google Scholar 

  • Acampora G, Lee C-S, Vitiello A, Wang M-H (2012) Evaluating cardiac health through semantic soft computing techniques. Soft Comput 16(7):1183–1196

    Article  MATH  Google Scholar 

  • Ali MS, Consens M, Gu X et al (2007) Efficient, effective and flexible XML retrieval using summaries. In: Proceedings of the comparative evaluation of XML information retrieval systems, pp 89–103

  • Barta A, Consens MP, Mendelzon AO (2005) Benefits of path summaries in an XML query optimizer supporting multiple access methods. In: Proceedings of the international conference on very large data bases (VLDB05), pp 133–144

  • Bergsma S, Lin D, Goebel R (2009) Web-scale N-gram models for lexical disambiguation. In: Proceedings of the 21st international joint conference on artificial intelligence, pp 1507–1512

  • Chen D, Tang J, Yao L, Li J, Zhou L (2009) Query-focused summarization by combining topic model and affinity propagation. In: Proceedings of APWeb/WAIM 2009, pp 174–185

  • Comai S, Marrara S (2004) XML document summarization: using XQuery for synopsis creation. In: Proceedings of the 15th international workshop on database and expert systems applications (DEXA04), pp 928–932

  • Dalamagas T, Cheng T et al (2004) Clustering XML documents using structural summaries. In: Proceedings of the EDBT workshop on clustering information over the web, pp 547–556

  • Jinxi X, Bruce Croft W (2000) Improving the effectiveness of informational retrieval with local context analysis. ACM Trans Inf Syst 18(1):79–112

    Article  Google Scholar 

  • Lee C-S, Wang M-H, Acampora G, Hsu C-Y, Hagras H (2010) Diet assessment based on type-2 fuzzy ontology and fuzzy markup language. Int J Intell Syst 25(12):1187–1216

    Article  Google Scholar 

  • Lin CY, Hovy E (2000) The automated acquisition of topic signatures for text summarization. In: Proceedings of the 18th COLING Conference, pp 495–501

  • Lin CY, Hovy E (2002) From single to multi-document summarization: a prototype system and its evaluation. In: Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL), pp 457–464

  • Moreno-Velo FJ, Barros AB, Sánchez-Solano S, Baturone I (2012) XFSML: an XML-based modeling language for fuzzy systems. 2012 IEEE International Conference on Fuzzy Systems, Australia, pp. 1–8

  • Polyzotis N, Garofalakis M (2002) Statistical synopses for graph structured XML databases. In: Proceedings of the 2002 ACM SIGMOD, pp 358–369

  • Qin B, Liu T, Li S (2005) Review of multi-document summarization. J Chin Inf Process 19(6):13–20

    Google Scholar 

  • Szlávik Z, Tombros A, Lalmas M (2007) Feature- and query-based table of contents generation for XML documents. In: Proceedings of ECIR 2007, pp 456–467

  • Thomas O, Dollmann T (2010) Fuzzy-EPC markup language: XML based interchange formats for fuzzy process models. Soft Comput XML Data Manag Stud Fuzziness Soft Comput 255:227–257

    Article  Google Scholar 

  • Wei F, He Y, Li W, Huang L (2009) Query-oriented summarization based on neighborhood graph model. In: Proceedings of ICCPOL 2009, pp 156–167

  • Wenjie L, Furu W, Qin L, Yanxiang H (2008) Ranking sentences with positive and negative reinforcement for query-oriented update summarization. In: Proceedings of the 22nd international conference on computational linguistics (Coling 2008), pp 489–496

  • World Wide Web Consortium. Extensible Markup Language (XML) 1.0 (Third Edition). W3C Recommendation. 2004, http://www.w3.org/TR/REC-xml/

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Acknowledgments

This work is supported by Natural Science Foundation of China (No. 60803105, 61173146) and Science & Technology Project of Department of Education of Jiangxi Province (No. GJJ11731).

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Correspondence to Dexi Liu.

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Communicated by G. Acampora.

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Liu, D., Wu, S., Lan, Y. et al. A query-oriented XML text summarization for mobile devices. Soft Comput 17, 1585–1593 (2013). https://doi.org/10.1007/s00500-012-0980-8

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