Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

A Semantic Crawler Based on an Extended CBR Algorithm

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2008 Workshops (OTM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5333))

Abstract

A semantic (web) crawler refers to a series of web crawlers designed for harvesting semantic web content. This paper presents the framework of a semantic crawler that can abstract metadata from online webpages and cluster the metadata by associating them with ontological concepts. The clustering is based on a CBR algorithm which is adopted in the field of problem solving. We reveal the technical details with regard to ontological concept and metadata format, and the extended CBR algorithm. In addition, the system implementation and evaluation details are provided in detail, finalized by our conclusion and further works.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Carthy, D.C.J., Drummond, A., Dunnion, J., Sheppard, J.: The use of data mining in the design and implementation of an incident report retrieval system. In: Systems and Information Engineering Design Symposium, pp. 13–18. IEEE, Charlottesville (2003)

    Google Scholar 

  2. Decker, S., Erdmann, M., Fensel, D., Studer, R.: Ontobroker: Ontology based access to distributed and semi-structured Information. In: Meersman, R. (ed.) Database Semantics: Semantic Issues in Multimedia Systems, pp. 351–369. Kluwer Academic Publisher, Dordrecht (1999)

    Chapter  Google Scholar 

  3. Ding, L., Finin, T., Joshi, A., Pan, R., Cost, R.S., Peng, Y., Reddivari, P., Doshi, V.C., Sachs, J.: Swoogle: a search and metadata engine for the semantic web. In: The Thirteenth ACM Conference on Information and Knowledge Management. ACM Press, Washington (2004)

    Google Scholar 

  4. Dodds, L.: Slug: a semantic web crawler (2006)

    Google Scholar 

  5. Dong, H., Hussain, F.K., Chang, E.: State of the art in metadata abstraction crawlers. In: 2008 IEEE International Conference on Industrial Technology (IEEE ICIT 2008). IEEE, Chengdu (2008)

    Google Scholar 

  6. Handschuh, S., Staab, S.: Authoring and annotation of web pages in CREAM. In: WWW 2002, pp. 462–473. ACM Press, Honolulu (2002)

    Google Scholar 

  7. Handschuh, S., Staab, S.: CREAM: CREAting Metadata for the Semantic Web. Computer Networks 42, 579–598 (2003)

    Article  MATH  Google Scholar 

  8. Handschuh, S., Staab, S., Maedche, A.: CREAM — Creating relational metadata with a component-based, ontology-driven annotation framework. In: K-CAP 2001, pp. 76–83. ACM Press, Victoria (2001)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, GPO Box U1987, Perth, Western Australia, 6845, Australia

    Hai Dong, Farookh Khadeer Hussain & Elizabeth Chang

Authors
  1. Hai Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Farookh Khadeer Hussain
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Elizabeth Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB),, Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660, Madrid, Spain

    Pilar Herrero

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dong, H., Hussain, F.K., Chang, E. (2008). A Semantic Crawler Based on an Extended CBR Algorithm. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_135

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88875-8_135

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88874-1

  • Online ISBN: 978-3-540-88875-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation