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The Cloud4SOA initiative (FP7) focuses on resolving the semantic interoperability issues that exist in current Clouds infrastructures and on introducing a user-centric approach for applications which are built upon and deployed using Cloud resources. To this end, Cloud4SOA aims to combine three fundamental and complementary computing paradigms: namely Cloud computing, Service Oriented Architectures (SOA) and lightweight semantics to propose a reference architecture and deploy fully operational prototypes.

Understanding the difference amongst a Public or private and hybrid cloud infrastructure can be problematic, and it is possible that this trial in understanding has led numerous businesses to avoid executing Cloud infrastructure in total.

Cloud management services include a wide variety of solutions for their clients that cover the essential features of virtual computing.

Cloud computing is a term used for the delivery of hosted services over the Internet. It allows the company to consume computer resources as a utility.

web page is the home of the LOD cloud diagram. This image shows datasets that have been published in Linked Data format, by contributors to the Linking Open Data community project and other individuals and organisations. It is based on metadata collected and curated by contributors to the Data Hub.

Document Cloud is a platform that is primarily meant to be used by journalists who are reporting on (or publishing) primary source documents. They will be able to have their documents run through OpenCalais, and get comprehensive information on all the places, people and organizations that are mentioned in the document. Plus, Document Cloud can look at all the dates that are mentioned on the original text, have them plotted on a timeline, and let them know about documents that are related to what they have written. 

web page is the home of the LOD cloud diagram. This image shows datasets that have been published in Linked Data format, by contributors to the Linking Open Data community project and other individuals and organisations. It is based on metadata collected and curated by contributors to the Data Hub.

"Google Cloud for Web3 Build and scale faster with simple, secure tools and infrastructure for Web3. Get co-sell and growth opportunities, like promotion on Marketplace, and support for on- and off-chain governance."

Super Stream Collider (SSC) is a platform, which provides a web-based interface and tools for building sophisticated mashups combining semantically annotated Linked Stream and Linked Data sources into easy to use resources for applications. The system includes drag&drop construction tools along with a visual SPARQL/CQELS editor and visualization tools for novice users while supporting full access and control for expert users at the same time. Tied in with this development platform is a cloud deployment architecture which enables the user to deploy the generated mashups into a cloud, thus supporting both the design and deployment of stream-based web applications in a very simple and intuitive way.

CumulusRDF is an RDF store on cloud-based architectures. CumulusRDF provides a REST-based API with CRUD operations to manage RDF data. The current version uses Apache Cassandra as storage backend. A previous version is built on Google's AppEngine. CumulusRDF is licensed under GNU Affero General Public License.

Paul Miller works at the interface between the worlds of Cloud Computing and the Semantic Web, providing the insights that enable you to exploit the next wave as we approach the World Wide Database.

PodScribe: The Easiest Way To Podcast Script Ideas (optimin.cloud).

Optimin: Generates creative titles for content (optimin.cloud).

"The dbt Semantic Layer is currently available in Public Preview for multi-tenant dbt Cloud accounts hosted in North America. If you log in via https://cloud.getdbt.com/, you can access the Semantic Layer. If you log in with another URL, the dbt Semantic Layer will be available in the future."

Learn how B4U Television Network transitioned their global playout to Amagi CLOUDPORT to drastically reduce OPEX, support new revenue opportunities and future market expansions, while retaining agility to respond to constant technology changes with ease. Visit us:- http://www.amagi.com/

This web page is the home of the LOD cloud diagram. This image shows datasets that have been published in Linked Data format, by contributors to the Linking Open Data community project and other individuals and organisations. It is based on metadata collected and curated by contributors to the CKAN directory. Clicking the image will take you to an image map, where each dataset is a hyperlink to its homepage.

Media Cloud performs five basic functions -- media definition, crawling, text extraction, word vectoring, and analysis. First, we define the set of media sources we want to collect and discover the feeds for each media source (which in the case of many newspapers includes hundreds of feeds). Second, we crawl each of those feeds several times each day to discover any new stories published by each feed and then download the html of each new story. Third, we extract just the substantive content of each story from each html page, leaving behind the ads, navigation, and other cruft. Fourth, we break that substantive text down into a set word counts so that we can count, down to the level of individual sentences, which words which media sources are using to talk about which topics. And finally, we have a set of tools for analyzing those word counts, including the Media Dashboard tool that acts as the front page for http://mediacloud.org.

document provides statistics about the structure and content of the LOD cloud. It also analyzes the extend to which LOD data sources implement nine best practices that are either recommended W3C or have emerged within the LOD community.

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This website gives an overview of Linked Data sources cataloged on Data Hub and their completeness level for inclusion in the LOD cloud. It furthermore offers a validator for your Data Hub entry with step-by-step guidance.