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Journals Chapters Conferences
Wondergem, B.C.M. and Bommel, P. van and Weide, Th.P. van der, Matching Index Expressions for Information Retrieval. Information Retrieval Journal, Nr: 4, Vol: 2, Pages 337-360, 2000
The INN system is a dynamic hypertext tool for searching and exploring the WWW. It uses a dynamically built ancillary layer to support easy interaction. This layer features the subexpressions of index expressions that are extracted from rendered documents. Currently, the INN system uses keyword based matching. The effectiveness of the INN system may be increased by using matching functions for index expressions. In the design of such functions, several constraints stemming from the INN must be taken into account. Important constraints are a limited response time and storage space, a focus on discriminating (dirent notions of) subexpressions for index expressions, and domain independency. With these contextual constraints in mind, several matching functions are designed and both theoretically and practically evaluated.
Sarbo, J.J. and Farkas, J.I. and Grootjen, F.A. and Bommel, P. van and Weide, Th.P. van der, Meaning Extraction from a Peircean Perspective. International Journal of Computing Anticipatory Systems, Vol: 6, Pages: 209-227, 2000
Meaning extraction from text documents is a form of information management. The approach suggested in this paper is based on Peirce's semiotic which, by virtue of its deeper foundation, provides us with an adequate modelling of the information content of language. We exemplify the potential of the Peircean approach by extracting the meaning of a sample English text.
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Journals Chapters Conferences
Arampatzis, A.T. and Weide, Th.P. van der and Koster, C.H.A. and Bommel, P. van, Linguistically-motivated Information Retrieval. Encyclopedia of Library and Information Science, published by Marcel Dekker, Inc. - New York - Basel, Pages: 201-222, 2000
This article discusses a retrieval schema that attempts to overcome the problems originat- ing from the keyword retrieval hypothesis and linguistic variation. After discussing some of the most important attempts made to deal with linguistic variation, followed by as sicussion of the key aspects of a linguistically motivated retrieval system. Starting from a phrase retrieval hypothesis - a naive extension of the keyword retrieval hypothesis - we will address a suitable for IR representation of phrases. Possible regularizations of natural language will be outlined. The weighting of phrasal indexing terms and their matching is discussed. An example architecture of such a linguistically motivated retrieval system is depicted.
Berger, F.C. and Bommel, P. van and Weide, Th.P. van der, Characterization hierarchy containing augmented characterizations. Encyclopedia of microcomputers, Vol 24, Editors: Alan Kent, James G. Williams, published by Marcel Dekker, New York, USA, Pages 1-21, 2000
The focus of this paper is information retrieval and filtering in traditional retrieval contexts as well as on the Internet. Information Modelling techniques (e.g. NIAM, ER, OO) are used for the characterization of documents to be retrieved. This brings together the worlds of Information Modelling (IM) and Information Retrieval (IR, or: document retrieval). Although IM is in most cases used for traditional (non-document) databases such as relational databases (e.g. SQL), these techniques can be applied to IR in order to obtain different characterization levels for information objects.
The level of index expressions is discussed in detail and extended, yielding augmented index expressions containing additional (semantic) information. This is done in the following context. A searcher in a list of phrases serving as an index to documents often has problems finding the right words when the information sought for has to be described. Offering alternative phrasings and pointing to related concepts in the index could be a great help in this difficult process of query formulation.
Usually the index is obtained by characterizing documents. This paper describes the addition of semantic relations to the index. Various strategies for relating nodes in an index are discussed, and criteria for adding new index entries are introduced. The effects of adding relations on the process of offering support during the formulation process are treated as well.
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Journals Chapters Conferences
Wondergem, B.C.M. and Uden, M. van and Bommel, P. van and Weide, Th.P. van der, Query by Navigation on the WWW. Conferentie Informatiewetenschap 2000, 5 april 2000, Pages 78-87
Searching information from a large and dynamic information space causes several problems. concerning, for instance. dynamic and vague information needs, too broad queries, and correctness and sensibility of descriptors. These problems may be attacked by navigational query formulation strategies which are available for stratified architectures. However, stratified architectures cannot be easily constructed for large and dynamic information spaces. In this article, we show how navigational query formulation and exploration can be employed on the WWW by using linguistic (as opposed to statistical) refinements. Grounded in the theory of navigational networks for index expressions. we introduce our tool. the INdex Navigator (INN). for searching and navigating the WWW. The INN is a dynamic electronic service system for the WWW.
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Arampatzis, A.T. and Beney, J. and Koster, C.H.A. and Weide, Th.P. van der, Incrementality, Half-Life, and Threshold Optimization, for Adaptive Document Filtering. The Nineth Text REtrieval Conference (TREC-9), Edited by: Ellen M. Voorhees, and Donna K. Harman. November 1, Department of Commerce, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, USA, Pages 13-16, 2000
This paper describes the partcipation by researchers from KUN (the Computing Science Department of the Katholieke Universiteit Nijmegen, the Netherlands) in the TREC-9 Filtering Track. As first-time TREC participants, our group participated in alle three subtasks - adaptive, batch and routing - while concentrating mainly on adaptive tasks.
Arampatzis, A.T. and Weide, Th.P. van der and Koster, C.H.A. and Bommel, P. van, An Evaluation of Linguistically-motivated Indexing Schemes. Proceedings of the 22nd BCS-IRSG Colloquium on IR Research, Pages: 34-45, April, 2000
In this article, we describe a number of indexing experiments based on indexing terms other than simple keywords. These experiments were conducted as one step in validating a linguistically-motivated indexing model. The problem is important but not new. What is new in this approach is the variety of schemes evaluated. It is important since it should not only help to overcome the well-known problems of bag-of-words representations, but also the difficulties raised by non-linguistic text simplification techniques such as stemming, stop-word deletion, and term selection. Our approach in the selection of terms is based on part-of-speech tagging and shallow parsing. The indexing schemes evaluated vary from simple keywords to nouns, verbs, adverbs, adjectives, adjacent word-pairs, and head-modifier pairs. Our findings apply to Information Retrieval and most of related areas.
Arampatzis, A.T. and Weide, Th.P. van der and Koster, C.H.A. and Bommel, P. van, Term Selection for Filtering based on Distribution of Terms over Time. Proceedings of the RIAO`2000 Conference, Paris, April, Pages 12-14, 2000
In this article we investigate the use of time distributions in retrieval tasks. Specifically, we introduce a novel term selection method, namely Term Occurrence Uniformity (TOU), based on the hypothesis that terms which occur uniformly in time are more valuable than others. Our empirical evaluation so far has neither proved nor disproved this hypothesis. However, results are promising and suggest the need for a deeper theoretical and empirical investigation. Our current concern is filtering, but this line of research may easily be extended to other retrieval tasks which involve temporally-dependent data.
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Wondergem, B.C.M. and Uden, M. van and Bommel, P. van and Weide, Th.P. van der, INdex Navigator for Searching and Exploring the WWW. Proceedings of the Conferentie Informatiewetenschap (CIW`2000), April, 2000
Searching information from a large and dynamic information space causes several problems, concerning, for instance, dynamic and vague information needs, too broad queries, and correctness and sensibility of descriptors. These problems may be attacked by navigational query The INN is a dynamic electronic service system for the WWW.
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Simons, J. and Arampatzis, A.T. and Wondergem, B.C.M. and Schomaker, L.R.B. and Bommel, P. van and Hoenkamp, E.C.M. and Weide, Th.P. van der and Koster, C.H.A., PROFILE - A Multi-Disciplinary Approach to Information Discovery. In Second International Bi-Conference Workshop on Agent-Oriented Information Systems (AOIS-2000), 2000
This document describes the Profile project, a multi-disciplinary project aiming at the development of a proactive information filter for dynamic information environments. The goal of this paper is threefold. First, the suitability of an agent-based architecture for the Profile project is evaluated. Second, this article provides an overview of the research done in the Profile project. Third, it describes the integration of this research, which has led to the implementation of a prototype. The architecture and workings of the prototype are illustrated.
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