Vitae and Map Display System for People on the Web

  • Harumi Murakami
  • Chunliang Tang
  • Suang Wang
  • Hiroshi Ueda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8482)


We present a system that displays a curriculum vitae with a map to understand people. Our method is based on the following processes: (1) creating curriculum vitae using related work [1], (2) extracting the names of places where the person studied and worked from the vitae, (3) getting such location information as latitudes, longitudes, and addresses from the place names using Google Maps API, and (4) displaying a vitae along with a map using Google Maps JavaScript API. We developed a prototype and evaluated our algorithms that extract place names and convert them into location information from web search results for 56 person names.


web people search curriculum vitae resume map display location information 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ueda, H., Murakami, H., Tatsumi, S.: Creating Curriculum Vitae for Understanding People on the Web. Transactions of the Japanese Society for Artificial Intelligence 25(1), 144–156 (2010)CrossRefGoogle Scholar
  2. 2.
    Artiles, J., Borthwick, A., Gonzalo, J., Sekine, S., Amigo, E.: WePS-3 Evaluation Campaign: Overview of the Web People Search Clustering and Attribute Extraction Tasks. In: CLEF 2010 (2010)Google Scholar
  3. 3.
    Murakami, H., Takamori, Y., Ueda, H., Tatsumi, S.: Assigning Location Information to Display Individuals on a Map for Web People Search Results. In: Lee, G.G., Song, D., Lin, C.-Y., Aizawa, A., Kuriyama, K., Yoshioka, M., Sakai, T. (eds.) AIRS 2009. LNCS, vol. 5839, pp. 26–37. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  4. 4.
    Wan, X., Gao, J., Li, M., Ding, B.: Person Resolution in Person Search Results: WebHawk. In: Proceedings of the Fourteenth ACM Conference on Information and Knowledge Management (CIKM 2005), pp. 163–170. ACM Press, New York (2005)CrossRefGoogle Scholar
  5. 5.
    Ueda, H., Murakami, H., Tatsumi, S.: Assigning Vocation-Related Information to Person Clusters for Web People Search Results. In: Proceedings of the 2009 Global Congress on Intelligent Systems (GCIS 2009), vol. 4, pp. 248–253. IEEE Press, New York (2009)CrossRefGoogle Scholar
  6. 6.
    Mori, J., Matsuo, Y., Ishizuka, M.: Personal Keyword Extraction from the Web. Journal of Japanese Society for Artificial Intelligence 20, 337–345 (2005)CrossRefGoogle Scholar
  7. 7.
    Murakami, H., Ura, Y., Kataoka, Y.: Assigning Library Classification Numbers to People on the Web. In: Banchs, R.E., Silvestri, F., Liu, T.-Y., Zhang, M., Gao, S., Lang, J. (eds.) AIRS 2013. LNCS, vol. 8281, pp. 464–475. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  8. 8.
    Murakami, H., Ueda, H., Kataoka, S., Takamori, Y., Tatsumi, S.: Summarizing and Visualizing Web People Search Results. In: Proceedings of the Second International Conference on Agents and Artificial Intelligence (ICAART 2010), vol. 1, pp. 640–643. INSTICC Press (2010)Google Scholar
  9. 9.
    Kimura, R., Oyama, S., Toda, H., Tanaka, K.: Creating Persnal Histories from the Web using Namesake Disambiguation and Event Extraction. In: Baresi, L., Fraternali, P., Houben, G.-J. (eds.) ICWE 2007. LNCS, vol. 4607, pp. 400–414. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Geocoding Tools & Utilities,

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Harumi Murakami
    • 1
  • Chunliang Tang
    • 1
  • Suang Wang
    • 1
  • Hiroshi Ueda
    • 2
  1. 1.Graduate School for Creative CitiesOsaka City UniversitySumiyoshiJapan
  2. 2.ATR Creative Inc.SorakuJapan

Personalised recommendations