Building Context-Aware Customized Stories Based on Uncovering Indirect Associations from Semantic Knowledge Bases

Omar G. Bravo-Quezada; Yolanda Blanco-Fernandez; Martin Lopez-Nores; Diego A. Pesantez Nauta

doi:10.1109/ICSC.2016.27

Building Context-Aware Customized Stories Based on Uncovering Indirect Associations from Semantic Knowledge Bases

Omar G. Bravo-Quezada
, Yolanda Blanco-Fernandez
, Martin Lopez-Nores
, Diego A. Pesantez Nauta

Research output: Contribution to conference › Paper

1 Scopus citations

Abstract

© 2016 IEEE. This paper describes the construction of an intelligent semantics-based system that exploits several knowledge bases to tell contextually relevant stories to individuals and groups. Starting from information stored in user profiles, textual queries and pictures, a set of readily available tools recognize topics of interest and features of context, thereupon, we run data mining and semantic reasoning processes to create the narratives and realize them using proper multimedia contents. User feedback is sought to enrich the knowledge bases in a sustainable and organic way.

Original language	English (US)
Pages	454-458
Number of pages	5
DOIs	https://doi.org/10.1109/ICSC.2016.27
State	Published - 22 Mar 2016
Event	Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016 - Duration: 22 Mar 2016 → …

Conference

Conference	Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016
Period	22/03/16 → …

CACES Knowledge Areas

116A Computer Science

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10.1109/ICSC.2016.27

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AU - Bravo-Quezada, Omar G.

AU - Blanco-Fernandez, Yolanda

AU - Lopez-Nores, Martin

AU - Pesantez Nauta, Diego A.

PY - 2016/3/22

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N2 - © 2016 IEEE. This paper describes the construction of an intelligent semantics-based system that exploits several knowledge bases to tell contextually relevant stories to individuals and groups. Starting from information stored in user profiles, textual queries and pictures, a set of readily available tools recognize topics of interest and features of context, thereupon, we run data mining and semantic reasoning processes to create the narratives and realize them using proper multimedia contents. User feedback is sought to enrich the knowledge bases in a sustainable and organic way.

AB - © 2016 IEEE. This paper describes the construction of an intelligent semantics-based system that exploits several knowledge bases to tell contextually relevant stories to individuals and groups. Starting from information stored in user profiles, textual queries and pictures, a set of readily available tools recognize topics of interest and features of context, thereupon, we run data mining and semantic reasoning processes to create the narratives and realize them using proper multimedia contents. User feedback is sought to enrich the knowledge bases in a sustainable and organic way.

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Building Context-Aware Customized Stories Based on Uncovering Indirect Associations from Semantic Knowledge Bases

Abstract

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