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Uberblic.org is an integration service for data on the web. It acts as a layer between data publishers and data consumers. It consolidates and reconciles information in real time into a central data repository, and provides developer APIs on top. We make this consolidated data repository available to everyone who needs access to integrated web data, ranging from web developers to large enterprises. The consolidation platform imports information from open data sources like Wikipedia, Geonames, Musicbrainz, TheMovieDB, and others, can mirror changes from these original data sources in real time, and can integrate enterprise data sources into private consolidated views.

This portal is about transparency, open government and innovation. The European Commission Data Portal provides access to open public data from the European Commission. It also provides access to data of other Union institutions, bodies, offices and agencies at their request. The published data can be downloaded by everyone interested to facilitate reuse, linking and the creation of innovative services. Moreover, this Data Portal p

data.nature.com - the NPG Linked Data Platform The Linked Data Platform provides access to datasets from NPG published as linked data and made available through SPARQL services. The data are queryable interactively through a form interface and remotely through a service endpoint.

Google Refine is a power tool for cleaning up raw data, making it consistent, linking it to data registries like Freebase, augmenting it with more data from other data sources, transforming it into the required format for other tools to consume, and contributing it back to some data sources like Freebase. Google Refine is not a web service but a desktop app that runs on your own computer, so you can process sensitive data with privacy.

Rapid-I provides software, solutions, and services in the fields of predictive analytics, data mining, and text mining. The company concentrates on automatic intelligent analyses on a large-scale base, i.e. for large amounts of structured data like database systems and unstructured data like texts. The open-source data mining specialist Rapid-I enables other companies to use leading-edge technologies for data mining and business intelligence. The discovery and leverage of unused business intelligence from existing data enables better informed decisions and allows for process optimization.

British Museum Semantic Web Collection Online Welcome to this Linked Data and SPARQL service. It provides access to the same collection data available through the Museum's web presented Collection Online, but in a computer readable format. The use of the W3C open data standard, RDF, allows the Museum's collection data to join and relate to a growing body of linked data published by other organisations around the world interested in promoting accessibility and collaboration.

The aim of Modeling Online Presence is to enable the integration and exchange of Online Presence related data. For this purpose the project provides a Semantic Web ontology (OPO) for representing rich data about Online Presence in RDF. The possibility to integrate and exchange Online Presence data represents one of the prerequisites for the goal to release the Online Presence data from bounds to one particular service (e.g., a particual IM platform or social network) and give users the possibility to easily transfer their Online Presence data from one service to another.

JSON-LD (JavaScript Object Notation for Linking Data) is a lightweight Linked Data format that gives your data context. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on the already successful JSON format and provides a way to help JSON data interoperate at Web-scale. If you are already familiar with JSON, writing JSON-LD is very easy. These properties make JSON-LD an ideal Linked Data interchange language for JavaScript environments, Web service, and unstructured databases such as CouchDB and MongoDB.

zvelo is a leading "Data as a Service" provider of contextual categorization and malicious detection for a wide range of data sets and attributes, including language, category values (including Interactive Advertising Bureau's taxonomy), sentiment, ad fraud and malicious website detection, and more for URLs, the Deep Web and unstructured data. These data sets can be accessed through simple, straightforward SDKs and APIs for integration with applications in the online advertising, data analytics, network and endpoint security, and other use cases where contextual categorization accuracy, responsiveness, coverage, malicious detection, high performance throughput and scalability are required.

Project LASSO - Lookup & Alignment Service with Semantic Open Data - intends to deploy, improve and extend Linked Data (LD) infrastructure in three different use cases. Central feature of all use cases is a lookup service which helps to augment already existing, fomalized knowledge with facts from the Linked Open Data (LOD) cloud.

lobid.org is the North Rhine-Westphalian Library Service Center's (hbz) Linked Open Data service. The akronym 'lobid' stands for "Linking Open Bibliographic Data". We support the process of creating Linked Open Bibliographic Data out of existing libraries and other associated data.

"iServe is what we refer to as service warehouse which unifies service publication, analysis, and discovery through the use of lightweight semantics as well as advanced discovery and analytic capabilities. iServe provides the typical features of service registries and additional functionality that exploits service descriptions, service annotations and further data gathered and derived from the analysis of these descriptions, data crawled from the Web, periodic monitoring and user activities."

DataCite is an international consortium to establish easier access to scientific research data on the Internet increase acceptance of research data as legitimate, citable contributions to the scientific record, and to support data archiving that will permit results to be verified and re-purposed for future study.DataCite promotes data sharing, increased access, and better protection of research investment. Just as science is global, with individual researchers working and publishing, DataCite with 12 members from 9 countries is global, with individual regional member institutions offering services and advice directly where they are needed by the scientists.

"The Data Science Toolbox is a virtual environment based on Ubuntu Linux that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run the Data Science Toolbox either locally (using VirtualBox and Vagrant) or in the cloud (using Amazon Web Services)."

Before availing data center service, the first thing that a company notices is how fast and easily they can reach to the physical location of their data center.

As with any Web Services framework, SADI can expose any source of dynamically-generated information. In most cases this means Web-based analytical algorithms, but any source of data would be applicable - including robots, or even distributed human curators. Because SADI Services are stateless and atomic, Web Services that expose a set of stateful object methods cannot easily be exposed as SADI Services (though in many cases these services could be re-written to follow SADI conventions, and take advantage of the added semantic behaviours). Our observations suggest, however, that almost all services currently available in the bioinformatics space have a SADI-like behaviour that easily maps onto the SADI conventions.

e-LICO: An e-Laboratory for Interdisciplinary Collaborative Research in Data Mining and Data-Intensive Science

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"JSON-LD is a lightweight Linked Data format. It is easy for humans to read and write. It is based on the already successful JSON format and provides a way to help JSON data interoperate at Web-scale. JSON-LD is an ideal data format for programming environments, REST Web services, and unstructured databases such as CouchDB and MongoDB."

The Open Data Protocol (OData) is a Web protocol for querying and updating data that provides a way to unlock your data and free it from silos that exist in applications today. OData does this by applying and building upon Web technologies such as HTTP, Atom Publishing Protocol (AtomPub) and JSON to provide access to information from a variety of applications, services, and stores. The protocol emerged from experiences implementing AtomPub clients and servers in a variety of products over the past several years. OData is being used to expose and access information from a variety of sources including, but not limited to, relational databases, file systems, content management systems and traditional Web sites.