Ponencia
Automatic Extraction of Semantically-Meaningful Information from the Web.
Autor/es | Arjona Fernández, José Luis
Corchuelo Gil, Rafael Ruiz Cortés, Antonio Toro Bonilla, Miguel |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2002 |
Fecha de depósito | 2020-08-07 |
Publicado en |
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ISBN/ISSN | 978-3-540-43737-6 0302-9743 |
Resumen | The semantic Web will bring meaning to the Internet,making
it possible for web agents to understand the information it contains.
However,curren t trends seem to suggest that the semantic web is not
likely to be adopted ... The semantic Web will bring meaning to the Internet,making it possible for web agents to understand the information it contains. However,curren t trends seem to suggest that the semantic web is not likely to be adopted in the forthcoming years. In this sense,meaningful information extraction from the web becomes a handicap for web agents. In this article,w e present a framework for automatic extraction of semantically-meaningful information from the current web. Separating the extraction process from the business logic of an agent enhances modularity,adaptabilit y,and maintainability. Our approach is novel in that it combines different technologies to extract information,surf the web and automatically adapt to web changes. |
Agencias financiadoras | Comisión Interministerial de Ciencia y Tecnología (CICYT). España |
Identificador del proyecto | TIC2000-1106-C02-01 |
Cita | Arjona Fernández, J.L., Corchuelo Gil, R., Ruiz Cortés, A. y Toro Bonilla, M. (2002). Automatic Extraction of Semantically-Meaningful Information from the Web.. En AH 2002: Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (24-35), Málaga, España: Springer. |
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