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Conferences Reports
Vrieze, P.T. de and Bommel, P. van and Weide, Th.P. van der, A Generic Engine for User Model Based Adaptation. 8th ERCIM workshop on User Interfaces for All, June 28, 2004
User model based adaptation becomes more and more important in interactive systems. In this paper we first review the different possible adaptation models and discuss the concepts of push, pull and hybrid adaptation. At this moment there are few published applications that explicitly use hybrid adaptation. We thus propose a way to add hybrid adaptation (which also provides push and pull adaptation) to interactive systems. Consequently such interactive systems combine the advantages of push and pull adaptation in a domain dependent way.
To be able to perform research on adaptation strategies in general, we have implemented an adaptation engine, which provides modular support for adding adaptation to existing or newly developed systems. It allows the authors of the programs using the adaptation to focus on the adaptation they are going to use instead of on the implementation. The adaptation engine works with pluggable adaptation descriptions and as such it is straightforward to change the adaptation description of a system, or to test out different adaptation descriptions.
Finally we give a short introduction into an adaptation description editor and an adaptation description viewer we developed for maintaining and developing adaptation descriptions.
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Frederiks, P.J.M. and Weide, Th.P. van der, Information Modeling: the process and the required competencies of its participants. In: 9th International Conference on Applications of Natural Language to Information Systems (NLDB 2004), Manchester, United Kingdom, EU, Edited by: F. Meziane, and E. Métais. Lecture Notes in Computer Science, Vol: 3136, Pages: 123-134, Springer, 2004
In recent literature it is commonly agreed that the first phase of the software development process is still an area of concern. Furthermore, while software technology has been changed and improved rapidly, the way of working and managing this process have remained behind.
In this paper focus is on the process of information modeling, its quality and the required competencies of its participants (domain experts and system analysts). The competencies are discussed and motivated assuming natural language is the main communication vehicle between domain expert and system analyst. As a result, these competencies provide the clue for the effectiveness of the process of information modeling.
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Grootjen, F.A. and Weide, Th.P. van der, Effectiveness of Index Expressions. 9th International Conference on Applications of Natural Language to Information Systems (NLDB 2004), Lecture Notes in Computer Science, Vol: 3136, Pages: 171-181, 2004
The incremental searcher satisfaction model for Information Retrieval has been introduced to capture the incremental information value of documents. In this paper, from various cognitive perspectives, searcher requirements are derived in terms of the increment function. Dirent approaches for the construction of increment functions are identified, such as the individual and the collective approach. Translating the requirements to similarity functions leads to the so-called base similarity features and the monotonicity similarity features. We show that most concrete similarity functions in IR, such as Inclusion, Jaccard.s, Dice.s, and Cosine coecient, and some other approaches to similarity functions, possess the base similarity features. The Inclusion coecientcient also satisfies the monotonicity features.
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Gils, B. van and Proper, H.A. and Bommel, P. van and Weide, Th.P. van der, Transformations in Information Supply. Proceedings of the Workshop on Web Information Systems Modelling (WISM`04), held in conjunctiun with the 16th Conference on Advanced Information Systems 2004 (CAiSE 2004), Riga, Latvia, EU, Edited by: J. Grundspenkis, and M. Kirikova. Vol: 3, Pages: 60-78, June, Faculty of Computer Science and Information Technology, Riga, Latvia, EU, 2004, ISBN 9984976718
In this article, we present a model for transformation of resources in information supply. These transformations allow us to reason more flexibly about information supply, and in particular its heterogeneous nature. They allow us to change the form (e.g. report, abstract, summary) and format (e.g. PDF, DOC, HTML) of data resources found on the Web. In a retrieval context these transformations may be used to ensure that data resources are presented to the user in a form and format that is apt at that time.
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Conferences Reports
Grootjen, F.A. and Flesch, I. and Weide, Th.P. van der, The Bright Side of Information Retrieval. Technical Report, University Nijmegen, 2004
In this paper we present the BRIGHT System (see [Grootjen, 2003]). This system is a generic test environment for Information Retrieval purposes. The system is such that it allows researchers to adapt the system to their needs, and to extend the system with new retrieval models.
Bosman, S. and Weide, Th.P. van der, Assistance for the domain modeling dialog. Technical report: NIII-R0421, Computing Science Institute, University of Nijmegen, 2004
This paper considers the domain modeling dialog between domain expert and system analyst. In this dialog, the system analyst interprets the domain knowledge provided by the expert, and creates a formal model that captures this knowledge. As the expert may not express knowledge in a very precise way, the system analyst has to find the correct interpretation out of many possible interpretations.
In order to improve the quality of the modeling dialog, we propose a mechanism that enables the system analyst to have a better idea of the intentions of the domain expert, especially where the expert expresses these intentions poorly.
Vrieze, P.T. de and Bommel, P. van and Weide, Th.P. van der, A Generic Adaptive Model in Adaptive Hypermedia. Technical report: NIII-R0424, May, Radboud University Nijmegen, 2004
For adaptive hypermedia there is a strong model in form of the AHAM model and the AHA! system. This model, based on the Dexter Model, however is limited to application in hypermedia systems. In this paper we propose a new Generic Adaptivity Model. This state-machine based model can be used as the basis for adaptation in all kinds of applications. This Generic Adaptivity Model, when compared to AHAM has the following features: The Generic Adaptivity Model is more low-level than the AHAM model as it does not provide hypermedia specific concepts. Instead the GAM provides an additional Interface Model thaat describes the bindings of the adaptivity systems with the application. Finally the concepts of push and pull modelling have been incorporated in the Generic Adaptivity Model allowing system designers to make better decisions on what to store in the user model. This should allow for more flexible adaption systems.
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Vrieze, P.T. de and Bommel, P. van and Weide, Th.P. van der, A Generic Engine for User Model Based Adaptation. Radboud University, Nijmegen, Technical Report NIII-R0423, May 2004
The area of adaptive systems is rapidly gaining scientific interest. Most research seeks to enhance human computer interaction by adapting the system to the user. This topic has already gained a lot of attention by various authors. System adaptation involves the use of incremental behaviour analysis for acquiring user models. It also involves adaptation of the system behaviour to the user model.
A main part of adaptive systems is the user model. However such a user model does not appear out of thin air. The model needs to be ?rst initialised and then incrementally updated based on the user's actions. After that the user model needs to be used for system adaptation. Here we distinguish three di?erent functions: user model initialisation, user model updating, and system adaptation. These three roles together are fullfilled by an adaptation engine. How this is done is described by an adaptation model. In previous work we have gone into the issues involved in the development of adaptation models. Further we have described a framework for both classsification of and as a help in designing adaptation models. In this paper we will describe the issues involved with such adaptation, how those issues re?ect on a prototype we have developed, and the prototype itself.
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Veldhuijzen, G. and Weide, Th.P. van der, Query by Dialog: Maximizing Information gain in Interactive Information Disclosure. Technical report: NIII-R0447, November, Radboud University Nijmegen, 2004
Formulating queries for search engines is a difficult task, which requires insight into the document collection that the search engine has access to. We describe an interactive approach to information disclosure, in which the search engine acts as a guide that helps the searcher find the information that she needs. The guide actively seeks to acquire information from the searcher about her information need. The dialog between searcher and guide is treated as an information exchange -- the searcher acquires information about the collection, and the guide acquires information about the information need of the searcher. The guide and searcher collaborate to find a focus (subset of the document collection) that is relevant to the information need of the searcher. At each step in the dialog, the guide presents suggestions for query expansion based on the information gain that can be obtained when these suggestions are followed or rejected.
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