Abstract
In the research field of document information retrieval, the unit of retrieval results returned by IR systems is a whole document or a document fragment, like a paragraph in passage retrieval. IR systems based on the vector space model compute feature vectors of the units and calculate the similarities between the units and the query. However, the unit of retrieval results are not suitable for document information retrieval since they are not congruent with the information which users are searching for. Therefore, the unit of retrieval results should be a portion of the XML document, such as a chapter, section, or subsection. That is, we think the most important concern of document information retrieval is to define the unit of retrieval results, that is meaningful for users. It is easy to construct the appropriate portion of XML documents as retrieval results because XML is a standard document format on the Internet and because XML documents consist of contents and document structures. In this paper, we propose an effective IR system for XML documents that automatically defines an appropriate unit of retrieval results by analyzing the XML document structure. We performed experimental evaluations and verified the effectiveness of our XML IR system. In addition, we also defined new recall and precision measures for XML information retrieval in order to evaluate our XML IR system.
This work was partly supported by the Ministry of Education, Culture, Sports, Science and Technology, Japan, under grants 12680417, 12780309 and 14780325, and by CREST Program “Advanced Media Technology for Everyday Living” of Japan Science and Technology Corporation.
This author is currently with Japan Science and Technology Corporation, Japan.
This author is currently with Nagoya University, Japan.
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Hatano, K., Kinutani, H., Yoshikawa, M., Uemura, S. (2002). Information Retrieval System for XML Documents. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_75
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DOI: https://doi.org/10.1007/3-540-46146-9_75
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