Abstract and References
Transactions on Science and Technology Vol. 4, No. 3, 232 - 251, 2017

DBPedia Based Meta Search Engine

Kim Soon Gan, Kim On Chin, Patricia Anthony, Vooi Keong Boo

ABSTRACT
 Retrieving information on the web has become more challenging due to the overwhelming growth of online data. Consequently, even a good ranking algorithm is not able to deliver a precise search result. Traditional search engines work based on keyword search rather than the meaning of the keyword being searched. The main problem with keyword search is that it cannot solve the synonym and polysemy problems. Semantic search engines address this problem by focusing on the meaning of the query rather than considering it as a mere search phrase (keywords). In this work, we propose MEOW, a semantic meta search engine that utilises the power of a traditional search engine and enriches the search results by trying to understand the meaning of the search query. The proposed meta search engine uses DBPedia as its knowledge base and Google to generate the search results. The search results classify which semantic concept for a given query is used for different context. The main idea of this work is to transform non-semantic search results into semantic results by extending the search query to get more quality results based on the meaning of the search query.

KEYWORDS: Semantic; Meta Search Engine; DBPedia; Information Retrieval; Clustering
Download Full Text PDF

REFERENCES

Auer, S., Bizer, C., Kobilarov, G., Lehmann, J. & Ives, Z. (2007). DBpedia: A Nucleus for A Web of Open Data. Proceedings of the 6th International Semantic Web Conference. 11-15 November, 2007. Busan, Korea. pp. 722-735.

Antonious, G. & Harmelen, F. V (2008). A Semantic Web Primer. Cambridge.

Avetisyan, A. & Avetisyan, V. (2010). LOOK4: Enhancement of Web Search Results with Universal Words and WordNet. Proceedings of the 5th International Conference on Global WordNet. 31 Jan - 4 Feb, 2010. pp. 1-5.

Baeza-Yates, R. & Ribeiro-Neto, B. (1999). Modern Information Retrieval. Harlow.

Berners-Lee, T. (2000). Weaving the Web - the Original Design and Ultimate Destiny of the World Wide Web. New York.

Berners-Lee, T. Hendler, J. & Lassila, O. (2001). The Semantic Web. Scientific American. May 2001, 29-37.

Brickley, D. & Guha, R. V. (2004). RDF Vocabulary Description Language 1.0: RDF Schema. W3C Recommendation. Retrieved Feb 12, 2016 from https://www.w3.org/TR/2004/REC-rdf-schema-20040210/

Boo, V. K. & Anthony, P. (2011). Meta Search Engine Powered by DBpedia. In International Conference on Semantic Technology and Information Retrieval (STAIR). 28 – 29 June, 2010. pp. 89-93

Brin, S. & Page, L. (1998). The Anatomy of A Large-Scale Hypertextual Web Search Engine. Computer Networks, 30(1–7). pp. 107-117

Davies, J. Studer, R. & Warren, P. (2006). Semantic Web Technologies: Trends and Research in Ontology-based Systems. West Sussex: Wiley.

Doan, B. L. Bourda, Y. & Bennacer, N. (2004). Using Owl to Describe Pedagogical Resources. Proceedings of the IEEE International Conference on Advanced Learning Technologies. Joensuu, Finland. pp. 916 – 917.

Hands, A. (2012). Duckduckgo http://www.duckduckgo.com or http://www.ddg.gg. Technical Services Quarterly, 29(4). pp.345-347.

Koivunen, M. R. & Miller, E. (2001). W3C Semantic Web Activity. Proceedings of the Semantic Web Kick-off Seminar. 2 Nov 2001. Helsinki, Finland. pp. 27-41.

Kumar, R. & Goel, R. (2012). A Detailed Study on Semantic Search Performance of Keyword and Meta Search Engines. International Journal of Computer Science and Information Technologies, 3(2). pp. 3655-3658.

Klyne, G. & Carroll, J. J. (2004). Resource Description Framework (RDF): Concepts and Abstract Syntax. W3C Recommendation. Retrieved Feb 12, 2016 from https://www.w3.org/TR/2004/REC-rdf-concepts-20040210/

Manola, F. & Miller, E. (2004). RDF Primer, W3C Recommendation. Retrieved Feb 12, 2016 from https://www.w3.org/TR/2004/REC-rdf-primer-20040210/

McGuinness D. L. & Harmelen, F. V. (2004). OWL Web Ontology Language Overview. W3C Recommendation. Retrieved Feb 12, 2016 https://www.w3.org/TR/owl-features/

Miller, G. A. Beckwith, R. Fellbaum, C. Gross, D. & Miller, K. J. (1990). WordNet: An On-line Lexical Database. International Journal of Lexicography, 3(4). pp. 235–312.

Milne, D. N. Witten, I. H. & Nichols, D. M. (2007). A Knowledge-Based Search Engine Powered by Wikipedia. Proceedings of the 16th ACM Conference on Information and Knowledge Management. New York. 6 – 10 Nov, 2007. pp. 445-454.

Morsey, M. Lehmann, J. Auer, S. Stadler, C. & Hellmann, S. (2012). DBpedia and The Live Extraction of Structured Data from Wikipedia. Program: Electronic Library and Information Systems, 46(2). pp. 157-181.

Radhakrishnan, A. (2007). Summarization, the Answer to Web Search: Interview with Dmitri Soubbotin of SenseBot. Retrieved Feb 12, 2016 from https://www.searchenginejournal.com/summarization-the-answer-to-web-search-interview-with-dmitri-soubbotin-of-sensebot/6094/

Rector, A. Drummond, N. Horridge, M. Rogers, J. Knublauch, H. Stevens, R. Wang, H. & Wroe, C. (2004). Owl Pizzas: Practical Experience of Teaching OWL-DL:Common Errors & Common Patterns. Proceedings of EKAW 2004. 5 – 8 Oct, 2004. Whittlebury Hall, UK. pp 63-81.

Salton, G. & McGill, M. J. (1983). Introduction to Modern Information Retrieval. New York.

Singh, J., & Sharan, A. (2013). A Comparative Study between Keyword and Semantic Based Search Engines. Proceedings of the International Conference on Cloud, Big Data and Trust 2013. 13 – 15 Nov, 2013. pp. 130-134.

Spetka, S. (1994). The TkWWW Robot: Beyond Browsing. Proceedings of the Second World Wide Web Conference: Mosaic and the Web. Chicago, Illinois.

Strickland, M. (2007). The Evolution of Web 3.0. Retrieved Feb 12, 2016, from http://www.slideshare.net/mstrickland/the-evolution-of-web-30

Sudeepthi, G. Anuradha, G. Surendra, P. & Babu, P. (2012). A Survey on Semantic Web Search Engine. International Journal of Computer Science Issues, 9(2). pp. 241 - 245.

Tumer, D., Shah, M. A., & Bitirim, Y. (2009). An Empirical Evaluation on Semantic Search Performance of Keyword-Based and Semantic Search Engines: Google, Yahoo, MSN and Hakia, Proceedings of the 4th International Conference on Internet Monitoring and Protection (ICIMP’09). 24 - 28 May, 2009. Venice, Italy. pp. 51-55.