Semantic Tracking in Peer-to-Peer Topic Maps Management

This paper presents a collaborative semantic tracking framework based on topic maps which aims to integrate and organize the data/information resources that spread throughout the Internet in the manner that makes them useful for tracking events such as natural disaster, and disease dispersion. We pr...

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Detalles Bibliográficos
Autores principales: Kawtrakul, Asanee, Yingsaeree, Chaiyakorn, Andres, Frederic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2007
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120888/
http://dx.doi.org/10.1007/978-3-540-75512-8_5
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author Kawtrakul, Asanee
Yingsaeree, Chaiyakorn
Andres, Frederic
author_facet Kawtrakul, Asanee
Yingsaeree, Chaiyakorn
Andres, Frederic
author_sort Kawtrakul, Asanee
collection PubMed
description This paper presents a collaborative semantic tracking framework based on topic maps which aims to integrate and organize the data/information resources that spread throughout the Internet in the manner that makes them useful for tracking events such as natural disaster, and disease dispersion. We present the architecture we defined in order to support highly relevant semantic management and to provide adaptive services such as statistical information extraction technique for document summarization. In addition, this paper also carries out a case study on disease dispersion domain using the proposed framework.
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spelling pubmed-71208882020-04-06 Semantic Tracking in Peer-to-Peer Topic Maps Management Kawtrakul, Asanee Yingsaeree, Chaiyakorn Andres, Frederic Databases in Networked Information Systems Article This paper presents a collaborative semantic tracking framework based on topic maps which aims to integrate and organize the data/information resources that spread throughout the Internet in the manner that makes them useful for tracking events such as natural disaster, and disease dispersion. We present the architecture we defined in order to support highly relevant semantic management and to provide adaptive services such as statistical information extraction technique for document summarization. In addition, this paper also carries out a case study on disease dispersion domain using the proposed framework. 2007 /pmc/articles/PMC7120888/ http://dx.doi.org/10.1007/978-3-540-75512-8_5 Text en © Springer-Verlag Berlin Heidelberg 2007 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Kawtrakul, Asanee
Yingsaeree, Chaiyakorn
Andres, Frederic
Semantic Tracking in Peer-to-Peer Topic Maps Management
title Semantic Tracking in Peer-to-Peer Topic Maps Management
title_full Semantic Tracking in Peer-to-Peer Topic Maps Management
title_fullStr Semantic Tracking in Peer-to-Peer Topic Maps Management
title_full_unstemmed Semantic Tracking in Peer-to-Peer Topic Maps Management
title_short Semantic Tracking in Peer-to-Peer Topic Maps Management
title_sort semantic tracking in peer-to-peer topic maps management
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120888/
http://dx.doi.org/10.1007/978-3-540-75512-8_5
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