Listar Ponencias (Lenguajes y Sistemas Informáticos) por autor 

Listar Ponencias (Lenguajes y Sistemas Informáticos) por autor "Arjona Fernández, José Luis"  

Mostrando ítems 1-6 de 6

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      A Knowledge Extraction Process Specification for Today’s non-semantic Web 

      Arjona Fernández, José Luis; Corchuelo Gil, Rafael; Toro Bonilla, Miguel (IEEE Computer Society, 2003)
      The semantic web shall enable web agents an efficient, precise, and comprehensive extraction of knowledge. Nevertheless, this ...
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      A Practical Agent-Based Method to Extract Semantic Information from the Web 

      Arjona Fernández, José Luis; Corchuelo Gil, Rafael; Ruiz Cortés, Antonio; Toro Bonilla, Miguel (Springer, 2002)
      The semantic Web will bring meaning to the Internet,mak - ing it possible for web agents to understand the information ...
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      An Experiment to Test URL Features for Web Page Classification 

      Hernández Salmerón, Inmaculada Concepción; Rivero, Carlos R.; Ruiz Cortés, David; Arjona Fernández, José Luis (Springer, 2012)
      Web page classification has been extensively researched, using different types of features that are extracted either from ...
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      Automatic Extraction of Semantically-Meaningful Information from the Web. 

      Arjona Fernández, José Luis; Corchuelo Gil, Rafael; Ruiz Cortés, Antonio; Toro Bonilla, Miguel (Springer, 2002)
      The semantic Web will bring meaning to the Internet,making it possible for web agents to understand the information it ...
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      Coping with Web Knowledge 

      Arjona Fernández, José Luis; Corchuelo Gil, Rafael; Peña Siles, Joaquín; Ruiz Cortés, David (Springer, 2003)
      The web seems to be the biggest existing information repository. The extraction of information from this repository has ...
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      Knowledge Channels: Bringing the Knowledge on the Web to Software Agents 

      Arjona Fernández, José Luis; Corchuelo Gil, Rafael; Ruiz Cortés, David; Peña Siles, Joaquín; Toro Bonilla, Miguel (CEUR-WS, 2003)
      In this paper, we present a new framework to extract knowledge from today’s non-semantic web. It associates semantics ...