Quang-Minh Nguyen, School of Electronics and Telecommunications, Hanoi University of Science and Technology, Vietnam
Tuan-Dung Cao, School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam
The impressive growth of the Web in the last decade has made it becomes one of the most popular news sources. Web-users nowadays can access an unlimited amount of news items but only a subset of them meets their interest. The existing news systems on Web reveal more and more limitations in information search because news items are presented only for human consumption. This paper presents BKSport, a sports news aggregation system that provides users with the ability to find relevant news articles through queries that are formulated in natural language. Our contribution consists of a system development approach, which is totally based on Semantic Web technologies. First, semantic annotations about news item are created using an ontology and knowledgebase for sports domain. Additionally, we propose a method to transform natural language questions into SPARQL queries to carry out semantic search on these semantic annotations. Last, the system has been positively evaluated with respect to precision, based on a set of pre-defined questions belonging to various categories.
Natural language interface, semantic web, question answering, web news aggregator, information retrieval, SPARQL
[1] J. Ahn, P. Brusilovsky, J. Grady, D. He and S. Y. Syn, "Open user profiles for adaptive news systems: help or harm?." the 16th International World Wide Web Conference (WWW ‘07), 11-20, Banff, Canada, May 2007.
[2] A. Bernstein, E. Kaufmann and C Kaiser, "Querying the semantic web with GiNSENG: A guided input natural language search engine." 15th Workshop on Information Technologies and Systems, Las Vegas, NV, 112-126, 2005.
[3] S. Bloehdorn, P. Cimiano, A. Duke, P. Haase, J. Heizmann, I. Thurlow and J. Völker, "Ontology-based Question Answering for Digital Libraries." in the 11th European Conference on Research and Advanced Technology for Digital Library, ECDL 2007, Budapest, Hungary, September 16 – 21, 2007, 14-25, Springer, 10.1007/978-3-540-74851-9_2.
[4] D. Chen and C. Manning, "A fast and accurate dependency parser using neural networks." the 2014 International Conference on empirical method in natural language processing (EMLNP), Doha, 740-750, Association for Computational Linguistic.
[5] P. Cimiano, P. Haase and J. Heizmann, "Porting natural language interfaces between domains: an experimental user study with the Orakel system." the 12th international conference on intelligent user interfaces, IUI ’07, 180-189, 2007.
[6] A. Clemmer and S. Davies, "Smeagol: a “specific-to-general” semantic web query interface paradigm for novices." the 22nd international conference on Database and expert systems applications – Volume Part I, 288-302, Springer-Verlag, Berlin, Heidelberg, 2011.
[7] D. Damljanovic, V. Tablan and K. Bontcheva, "A Text-based Query Interface to OWL Ontologies." the 6th Language Resources and Evaluation Conference (LREC), Marrakech, Morocco, ELRA, May 2008, 205-212, 10.1.1.167.661.
[8] S. Ferré, "Squall: A controlled natural language for querying and updating rdf graphs." Controlled Natural Language, 11-25, Springer (2012).
[9] A.L. Garrido, O. Gómez, S. Ilarri, and E. Mena, "An Experience Developing a Semantic Annotation System in a Media Group.", 17th International Conference on Applications of Natural Language Processing to Information Systems (NLDB 2012), Springer, Groningen, The Netherlands, June 2012.
[10] Ó. Corcho, A. Gómez-Pérez, A. López-Cima, V. López-García and M. C. Suárez-Figueroa, "ODESeW. Automatic Generation of Knowledge Portals for Intranets and Extranets." The Second International Semantic Web Conference (ISWC 2003), Sanibel Island, Florida, USA, 2003.
[11] Q. M. Nguyen, T. D. Cao, T. H. Phan, H. C. Nguyen and T. Hagino, "A method for the generation of semantic annotation from sport news using ontology based patterns." the 7th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications (KES AMSTA 2013), Hue City, Vietnam, 27-29 May 2013.
[12] Q. M. Nguyen and T. D. Cao, "A novel approach for automatic extraction of semantic data about football transfer in sport news." Journal of Pervasive Computing and Communications, 11(2), 233-252, 2015.
[13] B. Popov, A. Kiryakov, D. Ognyanoff, D. Manov and A. Kirilov, "KIM – a semantic platform for information extraction and retrieval." Nat. Lang. Eng., 10(3/4), 375-392, 2004.
[14] A.-H. Tan and C. Teo, "Learning User Profiles for Personalized Information Dissemination." IEEE International Joint Conference on Neural Networks, Alaska, May 4 – 9 1998, 183-188.
[15] C. Wang, M. Xiong, Q. Zhou and Y. Yu, "PANTO: A Portable Natural Language Interface to Ontologies." the 4th European Semantic Web Conference, ESWC 2007, Innsbruck, 2007, 473-487, 10.1007/978-3-540-72667-8_34.
[16] A. Yamaguchi, K. Kozaki, K. Lenz, H. Wu and N. Kobayashi, "An intelligent SPARQL query builder for exploration of various life-science databases." the 3rd International Conference on Intelligent Exploration of Semantic Data, IESD 2014, 83-94, Aachen, Germany.
[17] M. Sini, G. Salokhe, C. Pardy, J. Albert, J. Keizer and S. Katz, "Ontology-based Navigation of Bibliographic Metadata: Example from the Food, Nutrition and Agriculture Journal," International Conference on the Semantic Web and Digital Libraries (ICSD 2007), Bangalore, India, 2007.
[18] F. Frasincar, J. Borsje, L. Levering, "A Semantic Web-Based Approach for Building Personalized News Services. "International Journal of E-Business Research, Vol. 5, Iss. 3, IGI Global, USA, 2009, pp. 35-53.
APA:
Nguyen, Quang-Minh, et al. “Natural Language Questions for Semantic Web-Based News Aggregator.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 133, 2019, pp. 31-46. IJAST, http://article.nadiapub.com/IJAST/Vol133/4.html.
MLA:
Nguyen, Quang-Minh, et al. “Natural Language Questions for Semantic Web-Based News Aggregator.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 133, 2019, pp. 31-46. IJAST, http://article.nadiapub.com/IJAST/Vol133/4.html.
IEEE:
[1] Q.-M. Nguyen, and T.-D. Cao, "Natural Language Questions for Semantic Web-Based News Aggregator." International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 133, pp. 31-46, Dec 2019.
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