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Semantic web search engine using ontology, clustering and personalization techniques

Published: 18 June 2012 Publication History

Abstract

Data accuracy and reliability have been a serious issue in the vast emergence of information on the web. Advanced web searching has assisted in knowledge retrieving. However, most knowledge on the Web is presented in natural-language text that understandable by human but difficult for computers to interpret. Therefore, Semantic Web approach is widely used to give more reliable application. This paper presents a framework in enhancing knowledge retrieval processes using Semantic Web technologies. Instead of using ontology and categorization alone, we are injecting personalization concept from Relational Database (RDB) to ensure more reliable data are obtained. The proposed framework is discussed in details. A case study is presented to see the viability of the proposed framework in retrieving the meaningful information.

References

[1]
Maier, R., Hadrich, T., Peinl, R.: Enterprise Knowledge Infrastructures, 2nd edn. Springer, Berlin (2009)
[2]
Yao, Y., Zeng, Y., Zhong, N., Huang, X.: Knowledge Retrieval (KR). Paper Presented at the 2007 IEEE/WIC/ACM International Conference on Web Intelligence (2007)
[3]
Tao, X., Li, Y., Nayak, R.: A knowledge retrieval model using ontology mining and user profiling. Integrated Computer-Aided Engineering 15(4), 313-329 (2009)
[4]
Mikroyannidis, A.: Toward a Social Semantic Web. Computer 40(11), 113-115 (2007)
[5]
d'Aquin, M., Noy, N. F.: Where to publish and find ontologies? A survey of ontology libraries. Web Semantics: Science, Services and Agents on the World Wide Web 11(0), 96-111 (2011)
[6]
d'Aquin, M., Lewen, H.: Cupboard - A Place to Expose Your Ontologies to Applications and the Community. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 913-918. Springer, Heidelberg (2009)
[7]
Ontology Design Patterns.org (ODP) (2010), http://ontologydesignpatterns.org/wiki/Main_Page
[8]
Buitelaar, P., Eigner, T., Declerck, T.: OntoSelect: A Dynamic Ontology Library with Support for Ontology Selection. Paper Presented at the International Semantic Web Conference (2004)
[9]
Thomas, E., Pan, J. Z., Sleeman, D.: ONTOSEARCH2: Searching Ontologies Semantically (electronic version) (2008), http://ceur-ws.org/Vol-258/paper26.pdf
[10]
Schema-cache, http://schemacache.com/
[11]
Trillo, R., Po, L., Ilarri, S., Bergamaschi, S., Mena, E.: Using semantic techniques to access web data. Information Systems 36(2), 117-133 (2011)
[12]
Jie, T., Limin, Y., Duo, Z., Jing, Z.: A Combination Approach to Web User Profiling. ACM Trans. Knowl. Discov. Data 5(1), 1-44 (2010)
[13]
Antoniou, D., Paschou, M., Sourla, E., Tsakalidis, A.: A Semantic Web Personalizing Technique: The Case of Bursts in Web Visits. In: Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing (ICSC), pp. 530-535 (2010)
[14]
Yoo, D.: Hybrid query processing for personalized information retrieval on the Semantic Web (2011)
[15]
Bussler, C.: Is Semantic Web Technology Taking the Wrong Turn. IEEE Internet Computing 12(1), 75-79 (2008)
[16]
Jiang, H.: Information retrieval and the semantic web. Proceedings of the Chongqing, China, pp. V3461-V3463. IEEE Computer Society (2010)
[17]
Edwards, C.: Analysis: Semantic web's hidden meanings. Engineering and Technology 5(16), 52-53 (2010)
[18]
Cardoso, J.: The semantic web vision: Where are we? IEEE Intelligent Systems 22(5), 84- 88 (2007)
[19]
Joo, J.: Adoption of Semantic Web from the perspective of technology innovation: A grounded theory approach. International Journal of Human Computer Studies 69(3), 139- 154 (2011)
[20]
Janev, V., Vrane, S.: Applicability assessment of Semantic Web technologies. Information Processing and Management 47(4), 507-517 (2010)
[21]
Wecel, K.: Towards an Ontological Representation of Knowledge on The Web. In: Abramowicz, W. (ed.) Knowledge-based Information Retrieval and Filtering From the Web. Kluwer Academic Publisher, USA (2003)
[22]
Fluit, C., Sabou, M., van Harmelen, F.: Ontology-based Information Visualization. In: Geroimenko, V., Chen, C. (eds.) Visualizing the Semantic Web: XML-based Internet and Information Visualization. Springer (2003)
[23]
Hepp, M.: Ontologies: State of the Art, Business Potential, and Grand Challenges. In: Hepp, M., Leenheer, P. D., de Moor, A., Sure, Y. (eds.) Ontology Management. Semantic Web, Semantic Web Services, and Business Applications. Springer, New York (2008)
[24]
Diez-Rodriguez, H., Morales-Luna, G., Olmedo-Aguirre, J. O.: Ontology-based Knowledge Retrieval. Paper presented at the 2008 Seventh Mexican International Conference on Artificial Intelligence (2008)
[25]
Hao, Y., Zhang, Y.-F.: Research on Knowledge Retrieval by Leveraging Data Mining Techniques. In: Proceedings of the 2010 International Conference on Future Information Technology and Management Engineering, pp. 479-484. IEEE (2010)
[26]
D'Amato, C., Esposito, F., Fanizzi, N., Fazzinga, B., Gottlob, G., Lukasiewicz, T.: Inductive reasoning and semantic web search. In: Proceedings of the SAC 2010: Proceedings of the 2010 ACM Symposium on Applied Computing, pp. 1446-1447. Association for Computing Machinery (2010)
[27]
D'Aquin, M., Motta, E., Sabou, M., Angeletou, S., Gridinoc, L., Lopez, V., Guidi, D.: Toward a new generation of semantic web applications. IEEE Intelligent Systems 23(3), 20-28 (2008)
[28]
Matthias, H., Gerald, R., Harald, C. G.: A comparison of RDB-to-RDF mapping languages. In: Proceedings of the Proceedings of the 7th International Conference on Semantic Systems. ACM, Graz (2011)

Cited By

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  • (2013)Knowledge retrieval in lexical ontology-based semantic web search engineProceedings of the 7th International Conference on Ubiquitous Information Management and Communication10.1145/2448556.2448564(1-8)Online publication date: 17-Jan-2013
  1. Semantic web search engine using ontology, clustering and personalization techniques

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    Published In

    cover image Guide Proceedings
    ICCSA'12: Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
    June 2012
    653 pages
    ISBN:9783642311277
    • Editors:
    • Beniamino Murgante,
    • Osvaldo Gervasi,
    • Sanjay Misra,
    • Nadia Nedjah,
    • Ana C. Rocha

    Sponsors

    • The University of Perugia: The University of Perugia
    • UEFS: Universidade Estadual de Feira de Santana, Brazil
    • UFBA: Universidade Federal da Bahia, Brazil
    • The University of Basilicata: The University of Basilicata
    • UFRB: Universidade Federal do Recôncavo da Bahia, Brazil

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 18 June 2012

    Author Tags

    1. clustering
    2. ontology
    3. semantic web search
    4. user profiling

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    • (2013)Knowledge retrieval in lexical ontology-based semantic web search engineProceedings of the 7th International Conference on Ubiquitous Information Management and Communication10.1145/2448556.2448564(1-8)Online publication date: 17-Jan-2013

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