Extracting and Evaluating Ontologies of Human Activities from Linked Open Data and Social Media

Author:

Kataoka Yasuyuki1,Nakatsuji Makoto2,Toda Hiroyuki1,Koike Yoshimasa1,Matsuo Yutaka3

Affiliation:

1. NTT Service Evolution Laboratories, Nippon Telegraph and Telephone Corporation

2. Smart Navigation Business Division, NTT Resonant Inc.

3. Graduate School of Engineering, The University of Tokyo

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Reference22 articles.

1. [Acosta 13] Acosta, M., Zaveri, A., Simperl, E., Kontokostas, D., Auer, S., and Lehmann, J.: Crowdsourcing Linked Data Quality Assessment, in Proc. of the 12th International Semantic Web Conference Part II, ISWC '13, pp. 260–276 (2013)

2. [Bishop 06] Bishop, C. M.: Pattern Recognition and Machine Learning, Springer-Verlag New York, Inc. (2006)

3. [Bizer 09] Bizer, C., Heath, T., and Berners-Lee, T.: Linked data-the story so far, Int' Journal on Semantic Seb and Information Systems,Vol. 5, No. 3, pp. 1–22 (2009)

4. [Etzioni 11] Etzioni, O., Fader, A., Christensen, J., Soderland, S., and Mausam, M.: Open Information Extraction: The Second Generation, in Proc. of the Twenty-Second International Joint Conference on Artificial Intelligence Volume Volume One, IJCAI’11, pp. 3–10 (2011)

5. [Ferrucci 12] Ferrucci, D. A.: Introduction to ``This is Watson'', IBM J. Res. Dev., pp. 235–249 (2012)

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