Enhanced Google-Based Semantic Category Search
DOI:
https://doi.org/10.21928/juhd.v1n4y2015.pp398-403Keywords:
Search Engine, Google, Keyword, Information Retrieval, CategoryAbstract
Recently search services have been developed rapidly especially when the social internet appeared. It can help web users easily find their documents. So that it is very difficult to find a best search method. This paper aims to enhance the quality of the search engines results and this can be done by adding a second level category search that is able to search for the keyword and its synonyms, which enables the search engines to get more users queries related results. The proposed method showed promising results that will open further research directions
References
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[19] L. Thomas‚ M. Maria Vanina‚ P. Livia and S. Gerardo, " Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/", No. RR−15−01. DCS. 2015.
[2] F. Miriam, C. Iván, L.Vanesa, V. David, C. Pablo, and M. Enrico, " Semantically enhanced Information Retrieval: an ontology-based approach", Journal of Web Semantics: PREPRINT SERVER, Vol 9, No 4 (2011).
[3] M. Chau,, H. Chen, "A machine learning approach to web page filtering using content and structure analysis",Decision Support Systems 44 (2008) 482–494.
[4] M. Chau, Z. Huang, J. Qin, Y. Zhou, H. Chen, "Building a scientific knowledge web portal: the nanoport experience", Decision Support Systems 42 (2) (2006) 1216–1238.
[5] Al-Khateeb B., Abdullah S. and Adeeb M., A Proposed Google-Based Category Search, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), Volume 3, Issue 9, September 2013.
[6] F. Bettina, L. Thomas, "Semantic search on the Web", Semantic Web 1 (2010) 89–96 89, DOI 10.3233/SW-2010-0023, IOS Press.
[7] Steven Garcia B.App.Sci. (Hons.), “Search Engine Optimisation Using Past Queries”, School of Computer Science and Information Technology, Melbourne, Victoria, Australia. March 30, 2007.
[8] M. Robert, "Text-Mining for Semi-Automatic Thesaurus Enhancement", Diploma Thesis, August 2009.
[9] O. Satoshi, K. Takashi, I. Toru, "Keyword Spices: A New Method for Building Domain-Specific Web Search Engines", Venue: In Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI-01), Citations: 10 - 3 self, 2001.
[10] M. Andrew, N. Kamal, R. Jason, S. Kristie, "A Machine Learning Approach to Building Domain-Specific Search Engines", Venue: In Proceedings of the 16th International Joint Conference on Artificial Intelligence, Citations: 68 – 3 self, 1999.
[11] C. Sara , M. Jonathan , K. Yaron, S. Yehoshua, "XSEarch: A Semantic Search Engine for XML", Proceedings of the 29th VLDB Conference, Berlin, Germany, 2003.
[12] H. Choon Ding and B. Rajkumar ," Guided Google: A Meta Search Engine and its Implementation using the Google Distributed Web Services", arXiv.org > cs > arXiv:cs/0302018, Submitted on 13 Feb 2003.
[13] L. Wenwen, Y. Chaowei, R. Rob, "A Semantic Enhanced Search for Spatial Web Portals", AAAI Spring Symposium: Semantic Scientific …, 2008.
[14] F. Bettina Fazzinga, G. Giorgio, G. Georg, L. Thomas, " Semantic Web Search Based on Ontological Conjunctive Queries", Foundations of Information and Knowledge Systems, Volume 5956, 2010, pp 153-172
[15] L. Thomas‚ M. Maria Vanina‚ S. Gerardo I, and T. Oana Marciuska, "Ontology−Based Query Answering with Group Preferences", No. RR−14−02. DCS. May, 2014.
[16] N. Tommaso Di‚ L. Thomas‚ M. Maria Vanina‚ S. Gerardo I, and T. Oana Marciuska, "Computing k-Rank Answers with Ontological CP-Nets", Proceedings of the 22nd Italian Symposium on Advanced Database Systems‚ SEBD 2014‚ Sorrento Coast‚ Italy‚ June 16−18‚ 2014.
[17] S. Anuradha, G. Bhavana, Ch. D. V. Sudheer, G. Suryanarayana, G. Govind, " Enhanced Search Results with Semantic Annotation Approach", International Journal of Scientific & Engineering Research, Volume 5, Issue 6, June-2014.
[18] L. Thomas‚ M. Maria Vanina‚ M. Cristian‚ P. Livia and S. Gerardo, "Answering Ontological Ranking Queries Based on Subjective Reports", Proceedings of the 1st Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ PRUV 2014‚ Vienna‚ Austria‚ July 23−24‚ 2014. Vol. 1205 of CEUR Workshop Proceedings. Pages 127−140. CEUR−WS.org. 2014.
[19] L. Thomas‚ M. Maria Vanina‚ P. Livia and S. Gerardo, " Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/", No. RR−15−01. DCS. 2015.
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Published
2015-09-30
How to Cite
Adeeb, M., Sleman, A., Abdullah, S., & Al-Khateeb, B. (2015). Enhanced Google-Based Semantic Category Search. Journal of University of Human Development, 1(4), 398–403. https://doi.org/10.21928/juhd.v1n4y2015.pp398-403
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