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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
