Abstract
As the Web enters Big Data age, users and search engines may find it more and more difficult to effectively use and manage such big data. To solve this problem, this paper presents a novel search pattern named ExNa by defining its model and basic operations in detail, which can help to design new type of search engines. To validate the ExNa search pattern, we develop a prototype news search engine named KNOWLE, which shows that KNOWLE equipped with ExNa can improve the efficiency of search system.
Research work reported in this paper was jointly supported by a Strategic Grant from City University of Hong Kong (Project No. 7002912), the National Science Foundation of China under grant no. 61071110, and the key project of shanghai municipal education commission under grant no. 13ZZ064.
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References
ICSTI Insight: Next Generation Search, http://www.icsti.org/IMG/pdf/insight_2010_july.pdf
Wei, X., Luo, X., Li, Q., Zhang, J.: KNOWLE: Searching News in the Search Pattern of Knowledge Flow. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds.) WISE 2013, Part II. LNCS, vol. 8181, pp. 527–530. Springer, Heidelberg (2013)
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Wei, X., Luo, X., Li, Q., Zhang, J. (2014). ExNa: An Efficient Search Pattern for Search Engines. In: Li, F., Li, G., Hwang, Sw., Yao, B., Zhang, Z. (eds) Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science, vol 8485. Springer, Cham. https://doi.org/10.1007/978-3-319-08010-9_74
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DOI: https://doi.org/10.1007/978-3-319-08010-9_74
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08009-3
Online ISBN: 978-3-319-08010-9
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