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Place in Perspective: Extracting Online Information about Points of Interest

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6439))

Abstract

During the last few years, the amount of online descriptive information about places has reached reasonable dimensions for many cities in the world. Being such information mostly in Natural Language text, Information Extraction techniques are needed for obtaining the meaning of places that underlies these massive amounts of commonsense and user made sources. In this article, we show how we automatically label places using Information Extraction techniques applied to online resources such as Wikipedia, Yellow Pages and Yahoo!.

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References

  1. Alves, A., Pereira, F.C., Biderman, A., Ratti, C.: Place enrichment by mining the web. In: Proc. of the Third European Conference on Ambient Intelligence (2009)

    Google Scholar 

  2. Genereux, R., Ward, L., Russell, J.: The behavioral component in the meaning of places. Journal of Environmental Psychology 3, 43–55 (1983)

    Article  Google Scholar 

  3. Kramer, B.: Classification of generic places: Explorations with implications for evaluation. Journal of Environmental Psychology 15, 3–22 (1995)

    Article  Google Scholar 

  4. Harrison, S., Dourish, P.: Re-place-ing space: the roles of place and space in collaborative systems. In: CSCW 1996, pp. 67–76. ACM Press, New York (1996)

    Google Scholar 

  5. Hightower, J.: From position to place. In: Proc. of the Workshop on Location-Aware Computing (2003); 10–12 part of the Ubiquitous Computing Conference

    Google Scholar 

  6. Lemmens, R., Deng, D.: Web 2.0 and semantic web: Clarifying the meaning of spatial features. In: Semantic Web meets Geopatial Applications, AGILE 2008 (2008)

    Google Scholar 

  7. Rattenbury, T., Good, N., Naaman, M.: Towards automatic extraction of event and place semantics from flickr tags. In: SIGIR, USA, pp. 103–110. ACM, New York (2007)

    Google Scholar 

  8. Amitay, E., Har’El, N., Sivan, R., Soffer, A.: Web-a-where: geotagging web content. In: SIGIR 2004, pp. 273–280. ACM, New York (2004)

    Google Scholar 

  9. Reuters, T.: Open calais api (2009)

    Google Scholar 

  10. TextWise: Semantic hacker api (2009)

    Google Scholar 

  11. Sabou, M., d’Aquin, M., Motta, E.: Exploring the semantic web as background knowledge for ontology matching. Journal of Data Semantics (2008)

    Google Scholar 

  12. Ramshaw, L., Marcus, M.: Text Chunking using Transformation-Based Learning. In: WVLC, Cambridge, USA (1995)

    Google Scholar 

  13. Finkel, J.R., Grenager, T., Manning, C.: Incorporating non-local information into information extraction systems by gibbs sampling. In: ACL 2005, pp. 363–370 (2005)

    Google Scholar 

  14. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing and Management 24(5), 513–523 (1988)

    Article  Google Scholar 

  15. Fellbaum, C.: WordNet: An Electronic Lexical Database (Language, Speech, and Communication). The MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  16. Mihalcea, R.: Semcor semantically tagged corpus. Technical report, CiteSeer (1998)

    Google Scholar 

  17. Cohen, W.W., Ravikumar, P., Fienberg, S.E.: A comparison of string distance metrics for name-matching tasks. In: IJCAI WS Inf. Integration, pp. 73–78 (2003)

    Google Scholar 

  18. Imagery, N., Agency, M.: Geonet names server (gns) (2007)

    Google Scholar 

  19. Resnik, P.: Using information content to evaluate semantic similarity in a taxonomy. In: IJCAI, pp. 448–453 (1995)

    Google Scholar 

  20. Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)

    MATH  Google Scholar 

  21. Zipf, G.K.: Selective Studies and the Principle of Relative Frequency in Language. Harvard University Press, Cambridge (1932)

    Book  Google Scholar 

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Alves, A.O., Pereira, F.C., Rodrigues, F., Oliveirinha, J. (2010). Place in Perspective: Extracting Online Information about Points of Interest. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-16917-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16916-8

  • Online ISBN: 978-3-642-16917-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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