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Web Semantics for Textual and Visual Information Retrieval

Web Semantics for Textual and Visual Information Retrieval

Aarti Singh, Nilanjan Dey, Amira S. Ashour, V. Santhi
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Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.
Year:
2017
Publisher:
Information Science Reference
Language:
english
Pages:
290
ISBN 10:
1522524843
ISBN 13:
9781522524847
Series:
Advances in Data Mining and Database Management
File:
PDF, 5.17 MB
IPFS:
CID , CID Blake2b
english, 2017
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