Database Modeling for Industrial Data Management: Emerging Technologies and Applications

Collecting and presenting the latest research and development results from the leading researchers in the field of industrial database modeling, Database Modeling for Industrial Data Management: Emerging Technologies and Applications provides a single record of current research and practical applications in industrial database modeling. This book discusses the major aspects of databases for industry data modeling, database models, and database applications in information systems. Readers of Database Modeling for Industrial Data Management: Emerging Technologies and Applications will gain a complete understanding of the notions, techniques, and methods related to the research and developments of industrial database modeling, which will serve as both a starting point and a reference for their research and developments.

Database Modeling for Industrial Data Management

Zongmin Ma

IGI Global

Web-based Intelligent E-learning Systems: Technologies And Applications

Collecting and presenting the latest research and development results from the leading researchers in the field of e-learning systems, Web-Based Intelligent E-Learning Systems: Technologies and Applications provides a single record of current research and practical applications in Web-based intelligent e-learning systems. This book includes major aspects of Web-based e-learning systems standards and certifications, design and development, key techniques, prototypes, products, and applications.  Readers interested in the technologies and applications of distance education, online learning, and training will find this book a starting point for the understanding of the notions, techniques, and methods related to the research and developments of Web-based e-learning systems.

Web-based Intelligent E-learning Systems: Technologies and Applications

Information Science Publishing

Intelligent Databases: Technologies And Applications

With advances and in-depth applications of computer technologies, and the extensive applications of Web technology in various areas, databases have become the repositories of large volumes of data. It is very critical to manage data resources for effective problem solving and decision making. Collecting and presenting the latest research and development results from the leading researchers in the field of intelligent databases, Intelligent Databases: Technologies and Applications provides a single record of current research and practical applications in this field. Intelligent Databases: Technologies and Applications integrates data management in databases with intelligent data processing and analysis in artificial intelligence. This book challenges todays database technology and promotes its evolution.

Computers & Technology

Databases & Big Data

While the current Web provides access to an enormous amount of information, it is currently only human-readable. In response to this problem, the Semantic Web allows for explicit representation of the Semantics of data so that it is machine interpretable. Semantic Web for Knowledge and Data Management: Technologies and Practices provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data. This groundbreaking collection offers state-of-the-art information to academics, researchers, and industry practitioners involved in the study, use, design, and development of advanced and emerging Semantic Web technologies.

The Semantic Web for Knowledge and Data Management: Technologies and Practices

Business & Money

Huaiqing Wang

Management & Leadership

Information Science Reference

Artificial Intelligence for Maximizing Content Based Image Retrieval

The increasing trend of multimedia data use is likely to accelerate creating an urgent need of providing a clear means of capturing, storing, indexing, retrieving, analyzing, and summarizing data through image data.  Artificial Intelligence for Maximizing Content Based Image Retrieval discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field. Providing state-of-the-art research from leading international experts, this book offers a theoretical perspective and practical solutions for academicians, researchers, and industry practitioners.