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.
The research described in this paper is funded by NWO grant number 612.061.210.
|Name||Lecture Notes in Computer Science|
|Conference||Advances in XML Information Retrieval and Evaluation|
|Period||30/06/06 → …|