Semantic Web Information Management
Author | : Roberto de Virgilio |
Publisher | : Springer Science & Business Media |
Total Pages | : 554 |
Release | : 2010-01-08 |
ISBN-10 | : 9783642043291 |
ISBN-13 | : 3642043291 |
Rating | : 4/5 (91 Downloads) |
Download or read book Semantic Web Information Management written by Roberto de Virgilio and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Databases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of such useful information makes efficient management of it increasingly difficult, undermining the possibility of transforming it into useful knowledge. The research presented by De Virgilio, Giunchiglia and Tanca tries to bridge the two worlds in order to leverage the efficiency and scalability of database-oriented technologies to support an ontological high-level view of data and metadata. The contributions present and analyze techniques for semantic information management, by taking advantage of the synergies between the logical basis of the Semantic Web and the logical foundations of data management. The book’s leitmotif is to propose models and methods especially tailored to represent and manage data that is appropriately structured for easier machine processing on the Web. After two introductory chapters on data management and the Semantic Web in general, the remaining contributions are grouped into five parts on Semantic Web Data Storage, Reasoning in the Semantic Web, Semantic Web Data Querying, Semantic Web Applications, and Engineering Semantic Web Systems. The handbook-like presentation makes this volume an important reference on current work and a source of inspiration for future development, targeting academic and industrial researchers as well as graduate students in Semantic Web technologies or database design.