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DOSR: A Method of Domain-Oriented Semantic Retrieval in XML Data

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Intelligent Interactive Multimedia: Systems and Services

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 14))

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Abstract

This paper presents a method (named DOSR) to support the semantic retrieval of XML documents in a specific domain. It takes the entity as the basic unit of information processing to guarantee the semantic integrity of returned results. An efficient index method named Entity-based index is designed for indexing the entities. It can greatly reduce the size of the index file while guarantee the speed of parsing entity. In order to rank the querying results, the Stratified-Weight-Method is proposed to make an improvement towards the traditional technology. Experimental results show that DOSR can infer users’ search intention effectively, locate the search target quickly and return the exact results in accordance with users’ expectation. The results processed by DOSR guarantees semantic integrity and reasonable ranking results.

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References

  1. Czumaj, A., Kowaluk, M., Lingas, A.: Faster algorithms for finding lowest common ancestors in directed acyclic graphs. Theoretical Computer Science 380(1-2) (July 2007)

    Google Scholar 

  2. Schmidt, A., Kersten, M.L., Windhouwer, M.: Querying XML Documents Made Easy: Nearest Concept Queries. In: Proc. of the Intl. Conf. on Data Engineering, Washington, USA, pp. 321–329 (2001)

    Google Scholar 

  3. Sun, C., Chan, C., Goenka, A.K.: Multiway SLCA-Based Keyword Search in XML Data. In: Proc. of the Intl. Conf. on World Wide Web, New York, USA, pp. 1043–1052 (2007)

    Google Scholar 

  4. Li, G., Feng, J., Wang, J., Zhou, L.: Effective keyword search for valuable lcas over xml documents. In: Proc. of the Intl. Conf. on Information and Knowledge Management, New York, USA, pp. 31–40 (2007)

    Google Scholar 

  5. Guo, L., Shao, F., Botev, C., Shanmugasundaram, J.: XRANK: Ranked keyword search over xml documents. In: Proc. of the Intl. Conf. on Management of Data, New York, USA, pp. 16–27 (2003)

    Google Scholar 

  6. Hristidis, V., Koudas, N., Papakonstantinou, Y., Srivastava, D.: Keyword Proximity Search in XML Trees. IEEE Transactions on Knowledge and Data Engineering 18(4) (April 2006)

    Google Scholar 

  7. Li, Y., Yu, C., Jagadish, H.V.: Schema-Free XQuery. VLDB Endowment Very Large Database Endowment 30 (2004)

    Google Scholar 

  8. Xu, Y., Papakonstantinou, Y.: Efficient Keyword Search for Smallest LCAs in XML Databases. In: Proc. of the Intl. Conf. on Management of Data, New York, USA, pp. 527–538 (June 2005)

    Google Scholar 

  9. Huang, Y., Liu, Z., Chen, Y.: Query biased snippet generation in xml search. In: Proc. of the Intl. Conf. on Management of Data, New York, USA, pp. 315–326 (2008)

    Google Scholar 

  10. Bao, Z., Lu, J., Ling, T.W., Chen, B.: Towards an Effective XML Keyword Search. IEEE Transactions on Knowledge and Data Engineering 22(8) (August 2010)

    Google Scholar 

  11. Liu, Z., Chen, Y.: Identifying Meaningful Return Information for XML Keyword Search. In: Proc. of the Intl. Conf. on Management of Data, New York, USA (2007)

    Google Scholar 

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Correspondence to Jun Feng .

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© 2012 Springer-Verlag Berlin Heidelberg

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Feng, J., Tang, Z., Huang, R. (2012). DOSR: A Method of Domain-Oriented Semantic Retrieval in XML Data. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_22

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  • DOI: https://doi.org/10.1007/978-3-642-29934-6_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29933-9

  • Online ISBN: 978-3-642-29934-6

  • eBook Packages: EngineeringEngineering (R0)

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