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Journals Conferences Reports
Wondergem, B.C.M. and Bommel, P. van and Weide, Th.P. van der, Combining Boolean Logic and Linguistic Structure. Information & Software Technology, Nr: 43, Pages: 53-59, 2001
Keywords still seem to form the basis for document content and query representation. Approaches to use more advanced linguistic structures, such as noun phrases, still are in an experimental phase. In addition, Boolean descriptor languages have often been applied for Information Retrieval. However, the synthesis of logic and linguistics in one descriptor language still is an open issue. In this paper, Boolean index expressions, combining Boolean logic and linguistic structure, are proposed as a good balance between expresiveness and practical issues. Boolean index expressions are obtained by augmenting regular index expressions with logical operators for disjunction, conjunction, and negation. Boolean index expressions are more expressive than both index expressions and the Boolean query language based on keywords. They allow a compact representation of logical combinations of index expressions. In addition, Boolean index expressions are still efficiently parsible and their meaning can be determined through their structure. It is shown how Boolean index expressions can be brought into normal form, allowing fast numerical matching. Matching strategies for Boolean index expressions are obtained by adapting matching strategies for index expressions by providing a case for negations. Our implementation of Boolean index expressions illustrates mentioned issues.
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Journals Conferences Reports
Arampatzis, A.T. and Weide, Th.P. van der, Document Filtering as an Adaptive and Temporally-dependent Process. Proceedings of BCS-IRSG European Colloquium on IR Research (ECIR01), April, 2001
The filtering task has traditionally been defined as a special case of the information retrieval task, and undeniably, it can be performed by applying retrieval techniques. This theoretical study summarizes our experiences in viewing filtering as an adaptive and temporally-dependent task. A task that, in contrast to traditional retrieval, takes into account the dynamic nature of the availability of information and its temporal location. We investigate the nature of information streams and user requests, and formulate some useful types of adaptivity. We discuss the effectiveness of different types of adaptivity in filtering environments where responsiveness is more important than convergence. To deal with this, we introduce the notion of the half-life of information. Moreoever, we pay special attention to the implementational and efficiency aspect of incrementality.
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Proper, H.A. and Weide, Th.P. van der, Information coverage - Incrementally satisfying a searcher`s information need. Universal Acces in HCI: Towards an Information Society for All, Edited by: C. Stephanidis. Pages: 719-722, August, Lawrence Erlbaum, Hillsdale, New Jersey, USA, 2001, ISBN 0805836098
The Internet has become the virtual reality of mankind - a world that we shape without many of the imperfections of reality. We can jump to literally every place in no time and reach every resource anywhere anytime. In particular this last promise of information at your fingertips is under siege. The growing complexity of information space overwhelms the wired consumer and the vast increase in information is outpacing the improvement of retrieval tools.
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Journals Conferences Reports
Arampatzis, A.T. and Beney, J. and Koster, C.H.A. and Weide, Th.P. van der, KUN on the TREC-9 Filtering Track: Incrementality, Decay, and Threshold Optimization for Adaptive Filtering Systems. Technical report: CSI-R0104, January, Radboud University Nijmegen, 2001
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