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DIP's objective has been to develop and extend Semantic Web and Web Service technologies in order to produce a new technology infrastructure for Semantic Web Services (SWS) - an environment in which different web services can discover and cooperate with each other automatically. DIP's long term vision is to deliver the enormous potential benefits of Semantic Web Services to e-Work and e-Commerce.

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The Semantic Web is a vision for extending the Web so that machines can more intelligently integrate and process the wealth of information that is available. Unlike HTML and ordinary XML, Semantic Web languages allow semantics (i.e., meaning) to be explicitly associated with the content. The semantics are formally specified in ontologies, which can be shared via the Internet and extended for local needs. The current standard for the Semantic Web is OWL, a W3C Recommendation. The Semantic Web and Agent Technologies (SWAT) lab is investigating many of the issues needed to realize the Semantic Web vision.

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

Ground-breaking profiling, semantic search, navigation and optimization solutions. TextDigger offers the most intuitive, evolved, versatile and scalable semantic and linguistic profiling solutions for enriching your web-based content TextDigger has empowered businesses like yours to improve the findability of Internet and intranet content by providing scalable solutions for related search, automatic tagging, and semantic keyword generation. From web publishers, to e-commerce sites, to social networking and corporate enterprises, TextDigger's solutions leverage proprietary semantic technology to make your web pages easier to find, navigate and monetize.

OWL is a Web Ontology language. Where earlier languages have been used to develop tools and ontologies for specific user communities (particularly in the sciences and in company-specific e-commerce applications), they were not defined to be compatible with the architecture of the World Wide Web in general, and the Semantic Web in particular.

SADI is a framework for discovery of, and interoperability between, distributed data and analytical resources. It combines simple, stateless, GET/POST-based Web Services with standards from the W3C Semantic Web initiative. The objective of SADI is to make it easy for data and analytical tool providers to quickly make their resources available on the Semantic Web with minimal disruption to their usual practices. SADI is quite a distinct "technology" in that there's nothing to it… literally! SADI avoids creating new technologies or non-standard Web "infrastructure" (e.g., message formats).

Now it is even easier to use the rich and diverse collection of real-world concepts in OpenCyc to bring meaning to your semantic web applications! The full OpenCyc content is now available both as downloadable OWL ontologies as well as via semantic web endpoints (i.e., permanent URIs). These URIs return RDF representations of each Cyc concept as well as a human-readable version when accessed via a Web Browser.

Amaya is a Web editor, i.e. a tool used to create and update documents directly on the Web. Browsing features are seamlessly integrated with the editing and remote access features in a uniform environment. This follows the original vision of the Web as a space for collaboration and not just a one-way publishing medium.

SOA4All aims at realizing a world where billions of parties are exposing and consuming services via advanced Web technology: the main objective of the project is to provide a comprehensive framework that integrates complementary and evolutionary technical advances (i.e., SOA, context management, Web principles, Web 2.0 and semantic technologies) into a coherent and domain-independent service delivery platform.

Semantic Computing Research Group (SeCo) researches machine-processable semantics related to, e.g., the Semantic Web. We are located at the Aalto University, School of Science and Technology. Our research is focused on semantic media technologies, such as the Semantic Web and intelligent web services. In addition to research and publications, we also create prototype applications that demonstrate the new possibilities of semantic technologies, such as semantic portals for end-users, semantic infrastructural services, and ontologies and tools for creating semantic applications.

"CHAIN-REDS is a FP7 project co-funded by the European Commission (DG CONNECT) aiming at promoting and supporting technological and scientific collaboration across different e-Infrastructures established and operated in various continents, in order to define a path towards a global e-Infrastructure ecosystem that will allow Virtual Research Communities (VRCs), research groups and even single researchers to access and efficiently use worldwide distributed resources (i.e., computing, storage, data, services, tools, applications)."

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EASE, the European Association for Semantic Web Education, is a non-profit association according to paragraph 52 I of German fiscal code and is seated in Hannover, Germany. Its overall objective is to promote education and continuing education in the area Semantic Web and to support science and research in this area.

Knowledge Hives has been risen in the research community where contributing to the open source was a very common practice. We understand that in order to support the coming of third generation of the Internet (Web 3.0) a host of open source software needs to become widely accessible. Apart from our contribution to open source solutions delivered by others, a part of the mission of Knowledge Hives is to continue the research and development efforts of the Corrib.org group that has delivered many open source projects based on the research on the Web 3.0. In addition to publishing our own open source solutions and contributing to the existing open source projects, especially from the Corrib.org group, we provide commercial support that allows to leverage the potential of the open source software in more demanding environments, e.g., enterprises or large organizations.

The goals of this effort is to design and implement a configurable and extensible semantic eScience framework. Configuration will require some research into accommodating different levels of semantic expressivity and user requirements from use cases. Extensibility will be achieved in a modular approach to the semantic encodings (i.e. ontologies) performed in a community setting, i.e. an ontology framework into which specific applications all the way up to communities can extend the semantics for their needs.

"WELCOME TO KNO.E.SIS Ten years ago we had billions of web pages, and now we have roughly 5 billion people using mobile phones, collecting observations, and sharing what they think using SMS (Social Media Services), Twitter, and Facebook. Worldwide, there are currently over 40 billion mobile sensors, with more smart devices being created each day, which make up the Internet of Things."

SMOB is a Semantic MicroBlogging framework that enables an open, distributed and semantic microblogging experience based on state-of-the-art Semantic Web and Linked Data technologies. It relies on distributed hubs that communicate each other to exchange microblog posts and subscriptions (i.e. following / followers). Anyone can install his own hub and start following other users, while SMOB also allows cross-posting on other platforms such as Twitter.

Integrate. Relate. Infer. Share. IRIS is a semantic desktop application framework that enables users to create a "personal map" across their office-related information objects. IRIS includes a machine-learning platform to help automate this process.  It provides "dashboard" views, contextual navigation, and relationship-based structure across an extensible suite of office applications, including a calendar, web and file browser, e-mail client, and instant messaging client.

Multimedia Web Ontology Language (MOWL) has been designed to facilitate semantic interactions with multimedia contents. It supports perceptual modeling of concepts using expected media properties. While the reasoning in traditional ontology languages, e.g. Web Ontology Language (OWL), is based on Description Logics, MOWL supports a probabilistic reasoning framework based on Bayesian Network.