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

Producción científica: Contribución a una conferencia › Documento

1 Cita (Scopus)

Resumen

© 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.

Idioma original	Inglés estadounidense
Páginas	454-458
Número de páginas	5
DOI	https://doi.org/10.1109/ICSC.2016.27
Estado	Publicada - 22 mar. 2016
Evento	Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016 - Duración: 22 mar. 2016 → …

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

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title = "Building Context-Aware Customized Stories Based on Uncovering Indirect Associations from Semantic Knowledge Bases",

abstract = "{\textcopyright} 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.",

author = "Bravo-Quezada, \{Omar G.\} and Yolanda Blanco-Fernandez and Martin Lopez-Nores and \{Pesantez Nauta\}, \{Diego A.\}",

year = "2016",

month = mar,

day = "22",

doi = "10.1109/ICSC.2016.27",

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Building Context-Aware Customized Stories Based on Uncovering Indirect Associations from Semantic Knowledge Bases. / Bravo-Quezada, Omar G.; Blanco-Fernandez, Yolanda; Lopez-Nores, Martin et al.
2016. 454-458 Papel presentado en Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016.

Producción científica: Contribución a una conferencia › Documento

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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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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

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