Abstract
Extensible Markup Language (XML) is used for not only describing structured documents but also for describing data just for generating XML from relational data. The former is called document-centric XML, and the latter is called data-centric XML. From studies on retrieving data-centric XML by using keyword searches, methods based on LCA have been proposed, while from studies on retrieving document-centric XML, methods based on information retrieval that focus on the granularity of XML elements have been proposed. However, documents generally have both data-centric and document-centric elements, so there are cases in which desired results cannot be returned by using existing research. We propose a method for constructing suitable search results for XML documents that include both data-centric and document-centric elements by considering a user’s query intention and element features (data-centric or document-centric). Our experiments show that both data-centric and document-centric elements need to be considered for actual XML documents.
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Tanabe, T., Shimizu, T., Yoshikawa, M. (2012). Effective Keyword-Based XML Retrieval Using the Data-Centric and Document-Centric Features. In: Hou, Y., Nie, JY., Sun, L., Wang, B., Zhang, P. (eds) Information Retrieval Technology. AIRS 2012. Lecture Notes in Computer Science, vol 7675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35341-3_38
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DOI: https://doi.org/10.1007/978-3-642-35341-3_38
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