Abstract
This paper describes the work that we did at Indian Statistical Institute towards XML retrieval for INEX 2007. As a continuation of our INEX 2006 work, we applied the Vector Space Model and enhanced our text retrieval system (SMART) to retrieve XML elements against the INEX Adhoc queries. Like last year, we considered Content-Only(CO) queries and submitted two runs for the FOCUSED sub-task. The baseline run does retrieval at the document level; for the second run, we submitted our first attempt at element level retrieval. This run uses a very naive approach and performs poorly, but the relative performance of the baseline run was fairly encouraging. After the official submissions, we conducted a few more experiments involving both document-level and element-level retrieval. These additional runs yield some improvements in retrieval effectiveness. We report the results of those runs in this paper. Though our document-level runs are promising, the element-level runs are still far from satisfactory. Our next step will be to explore ways to improve element-level retrieval.
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Keywords
- Vector Space Model
- Indian Statistical Institute
- Automatic Query Expansion
- Document Length Normalization
- Text Retrieval System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
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Pal, S., Mitra, M. (2008). Indian Statistical Institute at INEX 2007 Adhoc Track: VSM Approach. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds) Focused Access to XML Documents. INEX 2007. Lecture Notes in Computer Science, vol 4862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85902-4_11
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DOI: https://doi.org/10.1007/978-3-540-85902-4_11
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