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Crawling and Extracting Process Data from the Web

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Advanced Data Mining and Applications (ADMA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5678))

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Abstract

In this paper, we address the design and implementation of a supporting system for process-based searches. This supporting system can efficiently crawl the Web and extract processes from obtained data. The retrieved processes can then be used in a Process-Based Search Engine (PBSE). In this work, a process is defined as a sequence of activities for achieving a goal. A PBSE uses the extracted processes to transform an original query into multiple sub-queries, and then performs keyword search for each transformed sub-query. To facilitate effective process-based searches, a large number of high quality processes are required. This paper focuses on how to efficiently and effectively build a database of processes by exploring the Web.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering & Computer Science, The University of Kansas, 1520 West 15th Street, Lawrence, KS, 66045-7621, USA

    Yaling Liu & Arvin Agah

Authors
  1. Yaling Liu
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  2. Arvin Agah
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Editor information

Editors and Affiliations

  1. Knowledge Science & Engineering Institute, School of Education Technology, Beijing Normal University, Xinjiekouwai Ave. 19, 100875, Beijing, China

    Ronghuai Huang

  2. The Hong Kong University of Science and Technology, Clear Water Bay,, Hong Kong, Hong Kong

    Qiang Yang

  3. School of Computing Science, Simon Fraser University, 8888 University Drive, V5A 1S6, Burnaby, BC, Canada

    Jian Pei

  4. Faculty of Economics, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    João Gama

  5. School of Information, Zhongguancum, Renmin University, 100872, Beijing, China

    Xiaofeng Meng

  6. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, St. Lucia, Queensland, Australia

    Xue Li

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© 2009 Springer-Verlag Berlin Heidelberg

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Liu, Y., Agah, A. (2009). Crawling and Extracting Process Data from the Web. In: Huang, R., Yang, Q., Pei, J., Gama, J., Meng, X., Li, X. (eds) Advanced Data Mining and Applications. ADMA 2009. Lecture Notes in Computer Science(), vol 5678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03348-3_55

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  • DOI: https://doi.org/10.1007/978-3-642-03348-3_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03347-6

  • Online ISBN: 978-3-642-03348-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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