Abstract
In the era of information revolution, the amount of digital contents is growing explosively with the advent of personal smart devices. The consumption of the digital contents makes users depend heavily on search engines to search what they want. Search requires tedious review of search results from users currently, and so alleviates it; predefined and fixed categories are provided to refine results. Since fixed categories never reflect the difference of queries and search results, they often contain insensible information. This paper proposes a method for the dynamic generation of refining categories under the ontology-based semantic search systems. It specifically suggests a measure for dynamic selection of categories and an algorithm to arrange them in an appropriate order. Finally, it proves the validity of the proposed approach by using some evaluative measures.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hilbert, M., Lopez, P.: The world’s technological capacity to store, communicate, and compute information. Science 332(60), 60–65 (2011)
Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), 199–200 (1993)
Shannon, C.E.: A mathematical theory of communication. ACM SIGMOBILE Mobile Computing and Communications Review 5(1), 3–55 (2001)
Gray, R.M.: Entropy and Information Theory. Springer (2011)
Kullback, S., Leibler, R.A.: On information and sufficiency. Annals of Mathematical Statistics 22(1), 76–86 (1951)
Park, S., Park, S.-H., Lee, J.-H., Lee, J.-S.: E-mail classification agent using category generation and dynamic category hierarchy. In: Kim, T.G. (ed.) AIS 2004. LNCS (LNAI), vol. 3397, pp. 207–214. Springer, Heidelberg (2005)
Khoshnevisan, C.: Dynamic selection and ordering of search categories based on relevancy information, Technical Report US 7698261B1, U.S. Patent (2010)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. John Wiley & Sons (2001)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley (1999)
Hyndman, R.J., Koehler, A.B.: Another look at measures of forecast accuracy. International Journal of Forecasting 22(4), 679–688 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhu, Y. et al. (2013). The Dynamic Generation of Refining Categories in Ontology-Based Search. In: Takeda, H., Qu, Y., Mizoguchi, R., Kitamura, Y. (eds) Semantic Technology. JIST 2012. Lecture Notes in Computer Science, vol 7774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37996-3_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-37996-3_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37995-6
Online ISBN: 978-3-642-37996-3
eBook Packages: Computer ScienceComputer Science (R0)