Web Semantics for Textual and Visual Information Retrieval

Web Semantics for Textual and Visual Information Retrieval PDF Author: Singh, Aarti
Publisher: IGI Global
ISBN: 1522524843
Category : Computers
Languages : en
Pages : 311

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Book Description
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.

Web Semantics for Textual and Visual Information Retrieval

Web Semantics for Textual and Visual Information Retrieval PDF Author: Singh, Aarti
Publisher: IGI Global
ISBN: 1522524843
Category : Computers
Languages : en
Pages : 311

Get Book Here

Book Description
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.

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis PDF Author: S.G. Shaila
Publisher: Springer
ISBN: 9811325596
Category : Computers
Languages : en
Pages : 141

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Book Description
This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.

Visualizing the Semantic Web

Visualizing the Semantic Web PDF Author: Vladimir Geroimenko
Publisher: Springer Science & Business Media
ISBN: 144713737X
Category : Computers
Languages : en
Pages : 209

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Book Description
The first book that deals specifically with visualization of the XML-based Web. It presents the state-of-the-art research in this area and focuses on key topics such as: visualization of semantic and structural information and metadata; exploring and querying XML documents using interactive multimedia interfaces; topic map visualization; visual modelling of XML/RDF ontologies and schemas; rendering and viewing of XML documents; SVG/X3D: new visualization techniques for the semantic web; and methods used to construct high quality metadata/metadata taxonomies. Most of the techniques and methods discussed here can be applied now, making this book essential reading for SML and Web developers as well as visualization researchers.

Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering

Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering PDF Author: Khaled Elleithy
Publisher: Springer Science & Business Media
ISBN: 1402087357
Category : Computers
Languages : en
Pages : 580

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Book Description
Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications PDF Author: Zhang, Qingyu
Publisher: IGI Global
ISBN: 1609601041
Category : Computers
Languages : en
Pages : 362

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Book Description
"This book is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing, covering state-of-the-art of the theory and applications of mining"--

Text Mining of Web-Based Medical Content

Text Mining of Web-Based Medical Content PDF Author: Amy Neustein
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1614519765
Category : Computers
Languages : en
Pages : 327

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Book Description
• Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature. • Analyzes text analytic tools for new media such as online forums, social media posts, tweets and video sharing. • Demonstrates how to use speech and audio technologies for improving access to online content for the visually impaired. Text Mining of Web-Based Medical Content examines various approaches to deriving high quality information from online biomedical literature, electronic health records, query search terms, social media posts and tweets. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. Additionally, the authors show how to perform infromation extraction on a hospital intranet, how to build a social media search engine to glean information about patients' own experiences interacting with healthcare professionals, and how to improve access to online health information. This volume provides a wealth of timely material for health informatic professionals and machine learning, data mining, and natural language researchers. Topics in this book include: • Mining Biomedical Literature and Clinical Narratives • Medication Information Extraction • Machine Learning Techniques for Mining Medical Search Queries • Detecting the Level of Personal Health Information Revealed in Social Media • Curating Layperson’s Personal Experiences with Health Care from Social Media and Twitter • Health Dialogue Systems for Improving Access to Online Content • Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired • Semantic-based Visual Information Retrieval for Mining Radiographic Image Data • Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions

Semantic-Based Visual Information Retrieval

Semantic-Based Visual Information Retrieval PDF Author: Zhang, Yu-Jin
Publisher: IGI Global
ISBN: 1599043726
Category : Computers
Languages : en
Pages : 382

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Book Description
"This book presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and more"--Provided by publisher.

Image Analysis and Recognition

Image Analysis and Recognition PDF Author: Aurélio Campilho
Publisher: Springer Science & Business Media
ISBN: 3540448918
Category : Computers
Languages : en
Pages : 964

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Book Description
The two-volume set LNCS 4141, and LNCS 4142 constitutes the refereed proceedings of the Third International Conference on Image Analysis and Recognition, ICIAR 2006. The volumes present 71 revised full papers and 92 revised poster papers together with 2 invited lectures. Volume I includes papers on image restoration and enhancement, image segmentation, image and video processing and analysis, image and video coding and encryption, image retrieval and indexing, and more.

Web and Big Data

Web and Big Data PDF Author: Wenjie Zhang
Publisher: Springer Nature
ISBN: 9819772443
Category :
Languages : en
Pages : 531

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Book Description


Visual Information Systems

Visual Information Systems PDF Author: Clement Leung
Publisher: Springer Science & Business Media
ISBN: 9783540636366
Category : Computers
Languages : en
Pages : 286

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Book Description
This book is a thoroughly arranged anthology outlining the state of the art in the emerging area of visual informationsystems. The chapters presented are a selection of thoroughly refereed and revised full papers first presented at the First International Conference on visual Information Systems held in February 1996. Next generation information systems have a high visual content, and there will be a shift in emphasis from a paradigm of predominantly alphanumeric data processing to one of visual information processing. The book provides a detailed introductory chapter, two keynotes by leading authorities, sections on design and architecture, database management and modelling, contend-based search and retrieval, feature extraction and indexing, query model and interface, and object recognition and content organization.