Handbook of metadata, semantics and ontologies
9781774698921
266 pages
Arcler Education Inc
Overview
Metadata research is a new field of study that focuses on providing a variety of digital resources with semantic descriptions, where digital resources is the most common target. These related descriptions form the foundation for more progressive and improved services in a number of applications such as, location and search, customization, and automated information delivery. As a result, metadata research focuses not only on the creation of metadata description languages but also on the practices of creating, disseminating, evaluating, maintaining, and using metadata in a variety of settings and usage contexts. The objective of the Semantic Web is essentially built on Ontology, which has recently emerged as a knowledge symbol infrastructure for the delivery of mutual semantics to metadata. A truly multidisciplinary approach is required because the combination of metadata description methods and ontology engineering creates a new setting for information engineering with certain setbacks and promising applications. The purpose of this volume is to promote interaction among researchers from a variety of disciplines and to provide some fundamental insights for the activity of engineering systems dependent on metadata, semantics, and ontologies.
Author Bio
Saurabh Pal received his M.Sc. in Computer Science in 1996 and obtained his Ph.D in 2002. He then joined the Department of Computer Applications, VBS Purvanchal University, Jaunpur as a Lecturer. Currently, he is working as Professor. He has authored more than 100 research papers in SCI/Scopus in international/national conference/journals as well as authored four books and also guided many research scholars in computer science/applications. He is an active member of CSI, Society of Statistics and Computer Applications and working as editor, member of editorial board for more than 15 international journals. His research interests include bioinformatics, machine learning, data mining, and artificial intelligence.
