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Alamo Lobo, Francisco Javier del, Martínez Fernández, Raquel ORCID: https://orcid.org/0000-0003-4355-4719 and Jaen Gallego, Jose Alberto
ORCID: https://orcid.org/0000-0003-1340-3020
(2010).
The Intelligent Web.
In: "2th International Conference on Agents and Artificial Intelligence", 22/01/2010 - 24/01/2010, Valencia, España. ISBN 978-989-674-021-4.
Title: | The Intelligent Web |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 2th International Conference on Agents and Artificial Intelligence |
Event Dates: | 22/01/2010 - 24/01/2010 |
Event Location: | Valencia, España |
Title of Book: | Proceedings of the 2th International Conference on Agents and Artificial Intelligence |
Date: | 2010 |
ISBN: | 978-989-674-021-4 |
Volume: | 1 |
Subjects: | |
Freetext Keywords: | Rhetoric structure theory, Rhetoric-semantic relation, Semantic network, Knowledge node |
Faculty: | E.T.S.I. Industriales (UPM) |
Department: | Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Many people are working on the Semantic Web with the main objective being to enhance web searches. Our proposal is a new research strategy based on the existence of a discrete set of semantic relations for the creation and exploitation of semantic networks on the web. To do so, we have defined in a previous paper (Álamo, Martínez, Jaén) the Rhetoric-Semantic Relation (RSR) based on the results of the Rhetoric Structure Theory. We formulate a general set of RSR capable of building discourse and making it possible to express any concept, procedure or principle in terms of knowledge nodes and RSRs. These knowledge nodes can then be elaborated in the same way. This network structure in terms of RSR makes the objective of developing automatic answering systems possible as well as any other type of utilities oriented towards the exploitation of semantic structure, such as the automatic production of web pages or automatic e-learning generation.
Item ID: | 7960 |
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DC Identifier: | https://oa.upm.es/7960/ |
OAI Identifier: | oai:oa.upm.es:7960 |
Deposited by: | Memoria Investigacion |
Deposited on: | 13 Jul 2011 10:56 |
Last Modified: | 06 Mar 2017 19:41 |