Retrieving information from heterogeneous data sources in a flexible manner and within a single (database) framework is still a challenge. In this paper we present several extensions of our prototype database system TIJAH developed for structured retrieval. The extensions are aimed at modeling vague selection of XML elements and image retrieval. All three levels (conceptual, logical, and physical) of the TIJAH system are enhanced to support the extensions. Additionally, we analyze different ways of removing overlap and explain how structural information can be used for relevance feedback. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Mihajlović, V., Ramírez, G., Westerveld, T., Hiemstra, D., Blok, H. E., & De Vries, A. P. (2006). TIJAH scratches INEX 2005: Vague element selection, image search, overlap, and relevance feedback. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3977 LNCS, pp. 72–87). Springer Verlag. https://doi.org/10.1007/11766278_6
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