Abstract
This article presents our work within the INEX 2004 Heterogeneous Track. We focused on taming the structural diversity within the INEX heterogeneous bibliographic corpus.
We demonstrate how semantic models and associated inference techniques can be used to solve the problems raised by the structural diversity within a given XML corpus. The first step automatically extracts a set of concepts from each class of INEX heterogeneous documents. An unified set of concepts is then computed, which synthesizes the interesting concepts from the whole corpus. Individual corpora are connected to the unified set of concepts via conceptual mappings. This approach is implemented as an application of the KadoP platform for peer-to-peer warehousing of XML documents. While this work caters to the structural aspects of XML information retrieval, the extensibility of the KadoP system makes it an interesting test platform in which components developed by several INEX participants could be plugged, exploiting the opportunities of peer-to-peer data and service distribution.
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Abiteboul, S., Manolescu, I., Nguyen, B., Preda, N. (2005). A Test Platform for the INEX Heterogeneous Track. In: Fuhr, N., Lalmas, M., Malik, S., Szlávik, Z. (eds) Advances in XML Information Retrieval. INEX 2004. Lecture Notes in Computer Science, vol 3493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424550_29
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DOI: https://doi.org/10.1007/11424550_29
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