Название: Current Trends in Semantic Web Technologies
Автор: Giner Alor-Hernandez, Jose Luis Sanchez-Cervantes
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2019
Язык: английский
Формат: pdf (true)
Размер: 16.8 MB

This book presents innovative and high-quality research regarding the implementation of Semantic Web technologies for knowledge representation and developing intelligent applications in various domains. Semantic Web technologies have inspired many people to create innovative technologies and applications for knowledge representation, Semantic Searches, NLP and Social Networks. The goal of this book is to collect and consolidate novel and high-quality research contributions on Semantic Web technologies and their theoretical and practical application to a range of different domains. In addition to researchers, the book offers a valuable resource for PhD students, master and undergraduate students in IT-related fields such as Computer Science and Information Systems.

In addition to the classic “Web of documents” and the ontologies, the paradigm of publication, linking, and consumption of data has evolved to support a “Web of data”, whose main goal is generating a global Linked Data ecosystem known as Linked Open Data cloud (LOD cloud), which enables the computers to do more useful work and to develop systems that can support trusted interactions over the network. In this sense, the Web of data enables developing vertical applications that may bring forward specific and sometimes highly non-trivial use cases, focusing to provide solutions to problems of different industries, such as Health Care and Life Sciences, eGovernment, and Energy, to mention but a few, in order to improve collaboration, research and development, and innovation adoption through Semantic Web technology.

According to above, the main objective of this book is to collect and consolidate innovative and high-quality research contributions regarding Linked Data (Linked Open data), Intelligent Systems, and Semantic Web-based applications applied to different disciplines such as Artificial Intelligence, Database Management, Knowledge Representation and Engineering, Natural Language and Processing, Cloud Computing, Social Web, and Web Science, among others. This book aims to provide insights on the recent advances in these topics by soliciting original scientific contributions in the form of theoretical foundations, models, experimental research, and case studies for developing Semantic Web-based applications.

Gathers innovative and high-quality research contributions on Linked (Open) Data, Intelligent Systems and Semantic Web-based applications to various disciplines
Provides insights on the latest advances through original scientific contributions that explore theoretical foundations, models, experimental research, and case studies
Goes beyond the state of the art in the field of Semantic Web applications
Offers successful applications and use cases of new approaches, methods and techniques for developing advanced Semantic Web technologies