Web Semantics for Textual and Visual Information Retrieval
โ 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
No coin nor oath required. For personal study only.
โฆ 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.
๐ SIMILAR VOLUMES
<p><P>This pioneering book deals specifically with the visualization of the Second-Generation Web. Now in its second edition it has been completely revised and updated, and includes extensive new material. It focuses on key topics including:</P><P></P><P></P><P>โข Visualization of semantic and struct
Presents the state of the art research in this area and focuses on key topics such as: The nature of the Semantic Web and its relationship to Information Visualization.
Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to e
Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to e