Improving the Effectiveness of XML Retrieval with User Navigation Models

Structured documents (predominantly encoded in XML) utilize markup dialects for several purposes, such as conveying logical structure, or providing rendering instructions. XML structure can also help users to navigate within documents to satisfy their information needs. However, including the user&#...

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Bibliographic Details
Published in2009 IEEE 25th International Conference on Data Engineering pp. 1584 - 1587
Main Authors Ali, M.S., Consens, M.P., Helou, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2009
Subjects
Content based retrieval
Data engineering
Industrial engineering
Information retrieval
Information technology
Navigation
Search engines
Strontium
Wikipedia
XML
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Summary:Structured documents (predominantly encoded in XML) utilize markup dialects for several purposes, such as conveying logical structure, or providing rendering instructions. XML structure can also help users to navigate within documents to satisfy their information needs. However, including the user's structural preferences in the ranking of retrieved elements remains a key challenge in XML retrieval. In this paper, we propose an approach for including structural preferences in the ranking of XML elements by improving the structural relevance (SR) of results. SR is an evaluation measure which relies on graphical navigation models to capture the structural preferences of users. We propose several algorithms to post-process search engine output to improve the SR of the output. Experimental results (using data, assessments, and search engines from INEX 2007 and 2008) demonstrate the effect of different combinations of post-processing algorithms and navigation models on the effectiveness of systems.
ISBN:9781424434220
142443422X
ISSN:1063-6382
2375-026X
DOI:10.1109/ICDE.2009.173