Ponencia
A Practical Agent-Based Method to Extract Semantic 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 | 2020-08-06 |
Publicado en |
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ISBN/ISSN | 978-3-540-43738-3 0302-9743 |
Resumen | The semantic Web will bring meaning to the Internet,mak -
ing it possible for web agents to understand the information it contains.
However,c urrent trends seem to suggest that it is not likely to be adopted
in the ... The semantic Web will bring meaning to the Internet,mak - ing it possible for web agents to understand the information it contains. However,c urrent trends seem to suggest that it is not likely to be adopted in the forthcoming years. In this sense,m eaningful 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,ad aptability,an d maintainability. Our approach is novel in that it combines different technologies to extract information,su rf the web and automatically adapt to some 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). A Practical Agent-Based Method to Extract Semantic Information from the Web. En CAiSE 2002: 14th International Conference on Advanced Information Systems Engineering (697-700), Toronto, ON, Canada: Springer. |
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