Abstract
This paper presents a context-aware text summarizer based on ontologies intended to be used for adapting information to mobile devices. The system generates summaries from texts according to the profile of the user and the context where he/she is at the moment. Context is determined by spatial and temporal localization. Ontologies are used to allow identifying which parts of the texts are related to the user’s profile and to the context. Ontologies are structured as hierarchies of concepts and concepts are represented by keywords with a weight associated.
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Garcia, L.F.F., de Lima, J.V., Loh, S., de Oliveira, J.P.M. (2007). Using Ontological Modeling in a Context-Aware Summarization System to Adapt Text for Mobile Devices. In: Chen, P.P., Wong, L.Y. (eds) Active Conceptual Modeling of Learning. ACM-L 2006. Lecture Notes in Computer Science, vol 4512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77503-4_12
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DOI: https://doi.org/10.1007/978-3-540-77503-4_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77502-7
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