Pattern-Based Semantic Tagging for Ontology Population

  • Masumi Inaba
  • Takayuki Iida
  • Tomohiro Yamasaki
  • Kosei Fume
  • Yumiko Mizoguchi
  • Shinichi Nagano
  • Takahiro Kawamura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5006)


Ontology population has emerged as an increasingly important problem in semantic web services. In this paper, we propose a method using named entity recognition that extracts keywords from Web pages in order to populate a product ontology. The semantic classification determines meanings of terms and phrases by heuristic rules after the morphological analysis. In addition, our method classifies vocabularies into different semantic tags. Firstly, it records several lists of semantic tags to a history database. Then, we define some rules from the lists to extract a product name. Finally, the rules build and refine the product ontology semi-automatically. According to an evaluation, proposed method achieved 87.1% precision and 87.4% recall. Thus, it can suggest some instances, and it decreases cost of updating the ontology.


Semantic Classification Heuristic Rule Target Concept Entity Recognition Edition Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Elgedawy, I., Tari, Z., Winikoff, M.: Exact functional context matching for web services. In: Proceedings of the 2nd international conference on Service oriented computing (ICSOC 2004) (2004)Google Scholar
  2. 2.
    Kawamura, T., Ueno, K., Nagano, S., Hasegawa, T., Ohsuga, A.: Ubiquitous Service Finder - Discovery of Services semantically derived from metadata in Ubiquitous Computing. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  3. 3.
    Sasajima, M., Kitamura, Y., Naganuma, T., Kurakake, S., Mizoguchi, R.: Task Ontology-Based Framework for Modeling Users’ Activities for Mobile Service Navigation. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 71–72. Springer, Heidelberg (2006)Google Scholar
  4. 4.
    Mizoguchi-Shimogori, Y., Nakamoto, T., Asakawa, K., Nagano, S., Inaba, M., Kawamura, T.: TV Navigation Agent for Measuring Semantic Similarity between Documents. In: Proceedings of 3rd International Workshop on Agents and Web Services in Distributed Environments (AWeSOMe 2007) (2007)Google Scholar
  5. 5.
    Cho, K., Kawamura, T.: BlogAlpha: Home Automation Robot using Ontology in Home Environment. In: Proceedings of Artificial Intelligence and Applications (AIA 2007) (2007)Google Scholar
  6. 6.
    Kawamura, T., Nagano, S., Inaba, M., Mizoguchi, Y.: Mobile Service for Reputation Extraction from Weblogs - Public Experiment and Evaluation. In: Proceedings of Twenty-Second Conference on Artificial Intelligence (AAAI 2007) (2007)Google Scholar
  7. 7.
    Punuru, J., Chen, J.: Learning for Semantic Classification of Conceptual Terms. In: IEEE International Conference on GRC 2007 (2007)Google Scholar
  8. 8.
    Liu, F., Zhao, J., Lv, B., Xu, B., Yu, H.: Product Named Entity Recognition Based on Hierarchical Hidden Markov Model. In: Proceedings of the Fourth SIGHAN Workshop on Chinese Language Processing (2005)Google Scholar
  9. 9.
  10. 10.
  11. 11.
  12. 12.
  13. 13.
    EDR Electronic Dictionary,
  14. 14.
    Noy, N.F., Doan, A., Halevy, A.Y.: Semantic Integration. AI Magazine 26, 7–10 (2005)Google Scholar
  15. 15.
    Wong, T., Lam, W., Chen, E.: Automatic Domain Ontology Generation from Web Sites. Journal of Integrated Design & Process Science archive 9(3), 29–38 (2005)Google Scholar
  16. 16.
    Tijerino, Y.A., Embley, D.W., Lonsdale, D.W., Nagy, G.: Ontology generation from tables. In: Proceedings of the Fourth International Conference on Web Information Systems Engineering, pp. 242–249 (2003)Google Scholar
  17. 17.
    Cohen, W.W., Hurst, M., Jensen, L.S.: A flexible learning system for wrapping tables and lists in HTML documents. In: Proceedings of the 11th international conference on World Wide Web, pp. 32–241 (2002)Google Scholar
  18. 18.
    Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the Fourteenth International Conference on Computational Linguistics, Nantes, France, pp. 539–545 (July 1992)Google Scholar
  19. 19.
    Cimiano, P., Ladwig, G., Staab, S.: Gimme’ the context: context-driven automatic semantic annotation with C-PANKOW. In: Proceedings of the 14th international conference on World Wide Web May 10-14 (2005)Google Scholar
  20. 20.
    Pasca, M., Lin, D., Bigham, J., Lifchits, A., Jain, A.: Organizing and searching the world wide web of facts - step one: The one-million fact extraction challenge. In: Proceedings of the 21st National Conference on Artificial Intelligence (2006)Google Scholar
  21. 21.
    Muslea, I., Minton, S., Knoblock, C.A.: Hierarchical wrapper induction for semistructured information sources. Autonomous Agents and Multi-Agent Systems 4(1/2), 93–114 (2001)CrossRefGoogle Scholar
  22. 22.
    Brin, S.: Extracting patterns and relations from the world wide web. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, Springer, Heidelberg (1998)Google Scholar
  23. 23.
    Agichtein, E., Gravano, L.: Snowball: Extracting relations from large plaintext collections. In: Proceedings of the 5th ACM International Conference on Digital Libraries (2000)Google Scholar
  24. 24.
    Sakai, T., Saito, Y., Ichimura, Y., Koyama, M., Kokubu, T., Manabe, T.: ASKMi: A Japanese Question Answering System based on Semantic Role Analysis. In: RIAO 2004 Proceedings, pp. 215–231 (2004)Google Scholar
  25. 25.
    Frantzi, K., Ananiadou, S.: Extracting Nested Collocations. In: COLING 1996, pp. 41–46 (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Masumi Inaba
    • 1
  • Takayuki Iida
    • 1
  • Tomohiro Yamasaki
    • 1
  • Kosei Fume
    • 1
  • Yumiko Mizoguchi
    • 1
  • Shinichi Nagano
    • 1
  • Takahiro Kawamura
    • 1
  1. 1.Corporate Research & Development CenterToshiba CorporationKanagawaJapan

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