A Question-driven Information system adaptable via Information Extraction techniques

This paper presents a system is composed by two main parts: The Information Extraction Process, which crawls the web and extracts all relevant knowledge that is then stored in the database, and the Question Processor which interprets user questions and obtains a SQL statement that can be executed on...

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Detalles Bibliográficos
Autores: Sapena Masip, Emilio, González Bermúdez, Meritxell, Padró, Lluís|||0000-0003-4738-5019, Turmo Borras, Jorge|||0000-0002-7521-1115
Tipo de recurso: informe técnico
Fecha de publicación:2008
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/366351
Acceso en línea:https://hdl.handle.net/2117/366351
Access Level:acceso abierto
Palabra clave:Artificial intelligence
information extraction
wrapper
entity disambiguation
question answe
Intel·ligència artificial
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Descripción
Sumario:This paper presents a system is composed by two main parts: The Information Extraction Process, which crawls the web and extracts all relevant knowledge that is then stored in the database, and the Question Processor which interprets user questions and obtains a SQL statement that can be executed on the database.