A Data Science Central Community
Rajendra Akerkar (Ed.)
Western Norway Research Institute, Norway
Publisher: Taylor & Francis Group/CRC Press
Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis.
Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches.
Comprised of five sections, the book focuses on:
Give us a teaser on the semantic technology segment of the book, please.....
Section II Semantic Technologies and Big Data
1. Management of Big Semantic Data
2. Linked Data in Enterprise Integration
3. Scalable End-User Access to Big Data
4. Semantic Data Interoperability: The Key Problem of Big Data