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From people to entities : new semantic search paradigms for the web /

The exponential growth of digital information available in companies and on the Web creates the need for search tools that can respond to the most sophisticated information needs. Many user tasks would be simplified if Search Engines would support typed search, and return entities instead of just We...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Demartini, Gianluca (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Fribourg, Switzerland : IOS Press, 2014.
Colección:Studies on the Semantic Web ; Volume 016.
Temas:
Acceso en línea:Texto completo

MARC

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264 1 |a Fribourg, Switzerland :  |b IOS Press,  |c 2014. 
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505 0 |a Title Page -- Contents -- Chapter 1. Motivation and Overview -- Chapter 2. Technical Basis -- Chapter 3. Retrieving Entities in the Enterprise -- Chapter 4. Retrieving Entities in Wikipedia -- Chapter 5. Additional Dimensions: Time and Opinion -- Chapter 6. Conclusions and Future Work -- Bibliography 
520 |a The exponential growth of digital information available in companies and on the Web creates the need for search tools that can respond to the most sophisticated information needs. Many user tasks would be simplified if Search Engines would support typed search, and return entities instead of just Web documents. For example, an executive who tries to solve a problem needs to find people in the company who are knowledgeable about a certain topic. In the first part of the book, we propose a model for expert finding based on the well-consolidated vector space model for Information Retrieval and inv. 
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