May 16, 2005
To help the reader understand semantic technology, the authors provide extensive examples and background on all terms used in their definition: "Semantic technology is a dynamic enterprise capability derived from the application of special software technologies (such as reasoners, inference engines, ontologies and models) that infer, relate, interpret and classify the implicit meanings of digital content without human involvement, which in turn drive adaptive business processes, enterprise knowledge, business rules and enterprise application interoperability."
Interest in semantic technologies has accelerated since February 2004 when the World Wide Web Consortium announced final approval of the recommendation of Resource Description Framework (RDF) and the Web Ontology Language (OWL) as Semantic Web standards that provide a framework for asset management, enterprise integration and the sharing and reuse of data on the Web. This book will aid practitioners in understanding how what they've developed thus far in the way of using Internet technologies to enable global connectivity, and XML to structure data for information exchange, and web services for reusability are a foundation for what is to come.
The book can be ordered through Amazon.com via the Inner Circle zone of the Cerebra website (www.cerebra.com/products/inner_circle.html), an education and information zone for newcomers and experienced semantic technology professionals alike. The zone also features regular blogs by the book's author, Jeff Pollock.
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.