Towards ontology personalization to enrich social conversations on AAC systems

Daniela Mancilla V.; Sebastian Sastoque H.; Marcela Iregui G.

doi:10.1117/12.2073865

28 January 2015 Towards ontology personalization to enrich social conversations on AAC systems

Daniela Mancilla V., Sebastian Sastoque H., Marcela Iregui G.

Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92870Z (2015) https://doi.org/10.1117/12.2073865
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia

Abstract

Communication is one of the essential needs of human beings. Augmentative and Alternative Communication Systems (AAC) seek to help in the generation of oral and written language to people with physical disorders that limit their natural communication. These systems present significant challenges such as: the composition of consistent messages according to syntactic and semantic rules, the improvement of message production times, the application to social contexts and, consequently, the incorporation of user-specific information. This work presents an original ontology personalization approach for an AAC instant messaging system incorporating personalized information to improve the efficacy and efficiency of the message production. This proposal is based on a projection of a general ontology into a more specific one, avoiding storage redundancy and data coupling, representing a big opportunity to enrich communication capabilities of current AAC systems. The evaluation was performed for a study case based on an AAC system for assistance in composing messages. The results show that adding user-specific information allows generation of enriched phrases, so improving the accuracy of the message, facilitating the communication process.

Citation Download Citation

Daniela Mancilla V., Sebastian Sastoque H., and Marcela Iregui G. "Towards ontology personalization to enrich social conversations on AAC systems", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92870Z (28 January 2015); https://doi.org/10.1117/12.2073865

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KEYWORDS

Telecommunications

Data storage

Multimedia

Data modeling

Data communications

Receivers

Brain

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