Text mining on a lexical basis is quite well developed for the English language. In compounding languages, however, lexicalized words are often a combination of two or more semantic units. New words can be built easil...
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Decision makers in safety-critical domains rely on data from dependable information systems. Traditional time- and safety-critical information systems, such as traffic management systems, have been using proprietary p...
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systems development needs to reconcile views from many roles, such as domain experts and engineers. A particular challenge is the multitude of models for requirements and quality, which can get time consuming and erro...
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ISBN:
(纸本)9781605580234
systems development needs to reconcile views from many roles, such as domain experts and engineers. A particular challenge is the multitude of models for requirements and quality, which can get time consuming and error prone to trace, change, and verify. In this paper we introduce an ontology-supported component-based systems engineering approach for the production automation domain that describes explicitly stakeholder quality requirements and traces design decisions to generate new system and software versions that implement these requirements. The ontology approach is expected to allow continuous modeling and extracting model views for all roles involved to a) improve the quality assurance of system requirements;b) support more explicit feedback on the quality of intermediate models during systems development;and c) provide better auditing capabilities of the systems development process. Based on an industry case study, we describe the ontology concept of the system, the development process, and how software quality can be measured and improved. Copyright 2008 ACM.
Clinical protocols and guidelines are widely used in the medical domain to improve disease management techniques. Different softwaresystems are in development to support the design and the execution of such guideline...
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A substantial proportion of user modeling research deals with detection, classification and use of as well as adaptation to the users' preferences. In this paper, we develop a questionnaire to assess aspects of pe...
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We approach the problem of retrievability from an analytical perspective, starting with modeling conjunctive and disjunctive queries in a boolean model. We show that this represents an upper bound on retrievability fo...
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BM25 is probably the most well known term weighting model in Information Retrieval. It has, depending on the formula variant at hand, 2 or 3 parameters (k1, b, and k3). This paper addresses b-the document length norma...
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In Information Retrieval, test collections are usually built using the pooling method. Many pooling strategies have been developed for the pooling method. Herein, we address the question of identifying the best poolin...
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ISBN:
(纸本)9781450344975
In Information Retrieval, test collections are usually built using the pooling method. Many pooling strategies have been developed for the pooling method. Herein, we address the question of identifying the best pooling strategy when evaluating systems using precision-oriented measures in presence of budget constraints on the number of documents to be evaluated. As a quality measurement we use the bias introduced by the pooling strategy, measured both in terms of Mean Absolute Error of the scores and in terms of ranking errors. Based on experiments on 15 test collections, we conclude that, for precision-oriented measures, the best strategies are based on Rank-Biased Precision (RBP). These results can inform collection builders because they suggest that, under fixed assessment budget constraints, RBP-based sampling produces less biased pools than other alternatives.
We present a patent search system that explores three issues: (a) topical organization of patents based on their IPC, (b) collection selection of topically organised patent collections and (c) integration of collectio...
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