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๐Ÿ“

Web Semantics for Textual and Visual Information Retrieval

โœ Scribed by Aarti Singh, Nilanjan Dey, Amira S. Ashour, V. Santhi


Publisher
Information Science Reference
Year
2017
Tongue
English
Leaves
312
Series
Advances in Data Mining and Database Management
Category
Library

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โœฆ Synopsis


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 d104ual 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.


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