Abstract
The paper presents a contexts recognition algorithm that uses the Internet as a knowledge base to extract the multiple contexts of a given situation, based on the streaming in text format of information representing the situation. Context is represented here as any descriptor most commonly selected by a set of subjects to describe a given situation. Multiple contexts are matched with the situation. The algorithm yields consistently good results and the comparison of the algorithm results with the results of people showed that there was no significant difference in the determination of context. The algorithm is currently being implemented in different fields and in multilingual environments.
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Segev, A. (2006). Identifying the Multiple Contexts of a Situation. In: Roth-Berghofer, T.R., Schulz, S., Leake, D.B. (eds) Modeling and Retrieval of Context. MRC 2005. Lecture Notes in Computer Science(), vol 3946. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11740674_8
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DOI: https://doi.org/10.1007/11740674_8
Publisher Name: Springer, Berlin, Heidelberg
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