Using ontological modeling in a context-aware summarization system to adapt text for mobile devices

Authors:
Luís Fernando Fortes Garcia;José Valdeni De Lima;Stanley Loh;José Palazzo Moreira De Oliveira
Affiliations:
Lutheran University of Brazil, Department of Computer Science, Canoas, RS, Brazil and Faculdade Dom Bosco de Porto Alegre, Department of Computer Science, Porto Alegre, RS, Brazil;Federal University of Rio Grande do Sul, Institute of Informatics, Porto Alegre, RS, Brazil;Lutheran University of Brazil, Department of Computer Science, Canoas, RS, Brazil and Catholic University of Pelotas, PPGINF, Pelotas, RS, Brazil;Federal University of Rio Grande do Sul, Institute of Informatics, Porto Alegre, RS, Brazil
Venue:
Active conceptual modeling of learning
Year:
2007

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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.