Sport News Semantic Search with Natural Language Questions

  • Quang-Minh NguyenEmail author
  • Son-Hong Ngo
  • Tuan-Dung Cao
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 257)


An increasingly huge amount of sport news published from a number of heterogeneous sources on the Web brings challenges to the traditional searching method using keywords. Providing an expressive way to retrieve news items and exploiting the advantages of semantic search technique in the development of Web-based sports news aggregation system is within our consideration. This paper presents a method to translate natural language questions into queries in SPARQL, the standard query language recommended by W3C for semantic data. Our contribution consists mainly of the construction of a semantic model representing a question, the detection of ontology vocabularies and knowledge base elements in question, and their mapping to generate a query. We evaluate the method based on a set of natural language questions and the results show that the proposed method achieves good performance with respect to precision.


Natural language interface Semantic web Question answering Sport news aggregator SPARQL 


  1. 1.
    Cimiano, P., Haase P., Heizmann, J.: Porting natural language interfaces between domains: an experimental user study with the orakel system. In: Proceedings of the 12th International Conference on Intelligent User Interfaces, pp. 180–189 (2007)Google Scholar
  2. 2.
    Clemmer, A., Davies, S.: Smeagol: a “specific-to-general” semantic web query interface paradigm for novices. In: Hameurlain, A., Liddle, Stephen W., Schewe, K.-D., Zhou, X. (eds.) DEXA 2011. LNCS, vol. 6860, pp. 288–302. Springer, Heidelberg (2011). Scholar
  3. 3.
    Damljanovic, D., Tablan, V., Bontcheva, K.: A Text-based query interface to OWL ontologies. In: Proceedings of the 6th Language Resources and Evaluation Conference (LREC), Morocco, ELRA, pp. 205–212 (2008)Google Scholar
  4. 4.
    Erling, O., Mikhailov, I.: RDF support in the virtuoso DBMS. In: Pellegrini, T., Auer, S., Tochtermann, K., Schaffert, S. (eds.) Networked Knowledge—Networked Media, vol. 221, pp. 7–24. Springer, Heidelberg (2009). Scholar
  5. 5.
    Ferré, S.: SQUALL: a controlled natural language for querying and updating RDF graphs. In: Kuhn, T., Fuchs, N.E. (eds.) CNL 2012. LNCS (LNAI), vol. 7427, pp. 11–25. Springer, Heidelberg (2012). Scholar
  6. 6.
    Guo, Q., Zhang, M.: Question answering system based on ontology and semantic web. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds.) RSKT 2008. LNCS (LNAI), vol. 5009, pp. 652–659. Springer, Heidelberg (2008). Scholar
  7. 7.
    Nguyen, Q.M., Cao, T.D.: A novel approach for automatic extraction of semantic data about football transfer in sport news. J. Pervasive Comput. Commun. 11(2), 233–252 (2015)CrossRefGoogle Scholar
  8. 8.
    Nguyen, Q.M., Cao, T.D., Nguyen, H.C., Hagino, T.: Towards efficient sport data integration through semantic annotation. In: Proceeding of The Fourth International Conference on Knowledge and Systems Engineering, KSE 2012, pp. 99–106 (2012)Google Scholar
  9. 9.
    Paliouras, G., Mouzakidis, A., Moustakas, V., Skourlas, C.: PNS: a personalized news aggregator on the web. In: Virvou, M., Jain, L.C. (eds.) Intelligent Interactive Systems in Knowledge-Based Environments, vol. 104, pp. 175–197. Springer, Heidelberg (2008). Scholar
  10. 10.
    Popov, B., Kirayakov, A., Ognyanoff, D., Manov, D., Kirilov, A.: KIM—a semantic platform for information extraction and retrieval. Nat. Lang. Eng. 10(3/4), 375–392 (2004)CrossRefGoogle Scholar
  11. 11.
    Wang, C., Xiong, M., Zhou, Q., Yu, Y.: PANTO: a portable natural language interface to ontologies. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 473–487. Springer, Heidelberg (2007). Scholar
  12. 12.
    Yamaguchi, A., Kozaki, K., Lenz, K., Wu, H., Kobayashi, N.: An intelligent SPARQL query builder for exploration of various life-science databases. In: Proceedings of the 3rd International Conference on Intelligent Exploration of Semantic Data, pp. 83–94 (2014)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Quang-Minh Nguyen
    • 1
    Email author
  • Son-Hong Ngo
    • 2
  • Tuan-Dung Cao
    • 2
  1. 1.School of Electronics and TelecommunicationsHanoi University of Science and TechnologyHanoiVietnam
  2. 2.School of Information and Communication TechnologyHanoi University of Science and TechnologyHanoiVietnam

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