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Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers (Paperback, 2014 ed.) Loot Price: R1,448
Discovery Miles 14 480
Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected...

Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers (Paperback, 2014 ed.)

Valentina Presutti, Milan Stankovic, Erik Cambria, Ivan Cantador, Angelo Di Iorio, Tommaso Di Noia, Christoph Lange, Diego Reforgiato Recupero, Anna Tordai

Series: Communications in Computer and Information Science, 475

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Loot Price R1,448 Discovery Miles 14 480 | Repayment Terms: R136 pm x 12*

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This book constitutes the thoroughly refereed post conference proceedings of the first edition of the Semantic Web Evaluation Challenge, SemWebEval 2014, co-located with the 11th Extended Semantic Web conference, held in Anissaras, Crete, Greece, in May 2014. This book includes the descriptions of all methods and tools that competed at SemWebEval 2014, together with a detailed description of the tasks, evaluation procedures and datasets. The contributions are grouped in three areas: semantic publishing (sempub), concept-level sentiment analysis (ssa), and linked-data enabled recommender systems (recsys).

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Communications in Computer and Information Science, 475
Release date: October 2014
First published: 2014
Editors: Valentina Presutti • Milan Stankovic • Erik Cambria • Ivan Cantador • Angelo Di Iorio • Tommaso Di Noia • Christoph Lange • Diego Reforgiato Recupero • Anna Tordai
Dimensions: 235 x 155 x 12mm (L x W x T)
Format: Paperback
Pages: 205
Edition: 2014 ed.
ISBN-13: 978-3-319-12023-2
Categories: Books > Computing & IT > Internet > General
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-319-12023-9
Barcode: 9783319120232

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