NDLI: Path Expression-based Smoothing of Query Likelihood Model for XML Element Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Keyaki, A. Miyazaki, J. Hatano, K. Yamamoto, G. Taketomi, T. Kato, H.
Copyright Year	2013
Description	Author affiliation: Fac. of Culture & Inf. Sci., Doshisha Univ., Kyotanabe, Japan (Hatano, K.) \|\| Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan (Keyaki, A.; Miyazaki, J.; Yamamoto, G.; Taketomi, T.; Kato, H.)
Abstract	In this paper we propose a path expression-based smoothing method of query likelihood model for XML element retrieval (QLMER). Though the query likelihood model, one of the statistical language models, is regarded as an accurate term weighting scheme in document retrieval, it has not been surveyed enough in XML element retrieval. Some term Weighting schemes for XML element retrieval utilize the idea of a path expression and it is effective for accurate retrieval. Therefore, we propose the path expression-based smoothing method. We are also interested in the potential power of QLMER compared with a commonly used term weighting scheme, BM25E, which is a classic probabilistic model. Our experimental evaluations showed that the proposed smoothing method is more effective than the existing one. In addition, BM25E is more effective than QLMER even though the effectiveness improved with the proposed method.
Starting Page	296
Ending Page	300
File Size	286685
Page Count	5
File Format	PDF
ISBN	9781479921348
e-ISBN	9780769550718
DOI	10.1109/IIAI-AAI.2013.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Smoothing technique Smoothing methods Accuracy XML Information retrieval Probabilistic logic Educational institutions XML element retrieval Query likelihood model
Content Type	Text
Resource Type	Article

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