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A personal mashup framework for mobile users

Published: 14 December 2009 Publication History
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  • Abstract

    This paper proposes a framework to help improve the operability of mobile devices. End users can utilize websites in combination with less operation steps and create their own combinations on demand without any kind of programming. This paper also proposes a text extraction method which is required for the framework. It learns an extraction rule from one example.

    References

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    Chang, C.-H., Kayed, M., Girgis, M. R. and Shaalan, K. A Survey of Web Information Extraction Systems, IEEE Transactions on Knowledge and Data Engineering, 18(10), 1411--1428.
    [2]
    Crescenzi, V., Mecca, G. and Merialdo, P., RoadRunner: towards automatic data extraction from large Web sites. Proceedings of the 26th International Conference on Very Large Database Systems (VLDB), Rome, Italy, pp. 109--118, 2001.
    [3]
    Kaply, M. Operator. http://www.kaply.com/weblog/operator.
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    Kushmerick, N., Weld, D., and Doorenbos, R., Wrapper induction for information extraction. Proceedings of the Fifteenth International Conference on Artificial Intelligence (IJCAI), pp. 729--735, 1997.
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    Microsoft. Popfly. http://www.popfly.com/.
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    Mozilla Labs. Ubiquity. http://ubiquity.mozilla.com/.
    [7]
    Saiiuguet, A. and Azavant, F., Building intelligent Web applications using lightweight wrappers. Data and Knowledge Engineering 36(3): 283--316, 2001. (W4F)
    [8]
    Wang, J. and Lochovsky, F. H., Data extraction and label assignment for Web databases, Proceedings of the Twelfth International Conference on World Wide Web (WWW), Budapest, Hungary, pp. 187--196, 2003.
    [9]
    W3C. HTML 4.01 Specification. http://www.w3.org/TR/html4/.
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    W3C. XML Path Language. http://www.w3.org/TR/xpath.
    [11]
    W3C. XSL Transformations. http://www.w3.org/TR/xslt.
    [12]
    Yahoo! Yahoo Pipes. http://pipes.yahoo.com/pipes/.

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    1. A personal mashup framework for mobile users

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      cover image ACM Other conferences
      MoMM '09: Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
      December 2009
      663 pages
      ISBN:9781605586595
      DOI:10.1145/1821748
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Johannes Kepler University

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 14 December 2009

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      Author Tags

      1. information extraction
      2. mashup
      3. mobile
      4. personalization
      5. web browsing

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