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Swingly is a new type of semantic search engine designed to help you find answers to questions - wherever they can be found on the Internet.

Built on top of Calais and scalably hosted on Amazon's EC2 service, the new site at SemanticProxy.com enters public beta today, and enables anyone to easily generate rich semantic metadata for pages on the open web, simply by passing the URL to SemanticProxy.

The National Center for Biomedical Ontology is a consortium of leading biologists, clinicians, informaticians, and ontologists who develop innovative technology and methods allowing scientists to create, disseminate, and manage biomedical information and knowledge in machine-processable form. Our visionis that all biomedical knowledge and data are disseminated on the Internet using principled ontologies, such that they are semantically interoperable and useful for improving biomedical science and clinical care. Our resources include the Open Biomedical Ontologies (OBO) library, the Open Biomedical Data (OBD) repositories, and tools for accessing and using this information in research. The Center collaborates with biomedical researchers conducting Driving Biological Projects to enable outside research and stimulate technology development in the Center. The Center undertakes outreach and educational activities (Biomedical Informatics Program) to train future researchers to use biomedical ontologies and related tools with the goal of enhancing scientific discovery.

This is the home page for the National Science Digital Library Metadata Registry. The Metadata Registry provides services to developers and consumers of controlled vocabularies and is one of the first production deployments of the RDF-based Semantic Web Community's Simple Knowledge Organization System (SKOS)

This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development. These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P. Analytic approaches to discover the Web's topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.

To begin using SemantiFind, you must go to www.google.com - the service won't work from iGoogle or your Google search box in your browser. After you enter your search term in the box as usual, you then are prompted to indicate the precise meaning of your term before starting your query. This is done through the use of a drop-down box where specific terms and their definitions display. For example, if you were searching for "Georgia," you would be presented with the option to select either the U.S. state or the former soviet republic.

The contention made in this article is that ontologies are pivotal to several seemingly disparate technical endeavours that are currently emergent and have had more or less publicity. These include Event Driven Architecture (EDA), Complex Event Processing (CEP), Service Oriented Architecture (SOA), Master Data Management (MDM), which are supported by specific ontological initiatives most notably the Semantic Web, which is further leveraged by Model Driven Architecture (MDA). Furthermore how these efforts are all dependent on the adherence to common standards. These endeavours, and their complementary interrelationships, and specifically their relationship to ontology, are explored in more detail below.

There is a growing community interest in applying Semantic Web and Web 2.0 technologies in health care and life sciences areas including the Health Care and Life Sciences Interest Group (HCLSIG ; http://www.w3.org/2001/sw/hcls/) and Medicine 2.0 (http://www.medicine20congress.com/). This has motivated us to explore how to intersect these two sets of technologies in the context of the HCLS Knowledge Base (KB).

The W3C OWL 2 Web Ontology Language (OWL) is a Semantic Web language designed to represent ontologies - information about how individuals are grouped and fit together in a particular domain. OWL can represent rich and complex information about classes of individuals and their properties. OWL is a logical language, where every construct has a well-defined meaning, meanings that fit together to support exact and useful representation of many different kinds of information. OWL groups information into ontologies in the form of documents that can be stored and transmitted across the World Wide Web in the same way that data and other kinds of information are and that can be completely and effectively processed by tools that extract the information implicit in an ontology.

WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at http://www.wikiprofessional.org

Faviki is a social bookmarking tool which allows you to tag webpages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge. Thanks to DBpedia, which extracts structured information from Wikipedia and represents it in a flexible data model, these tags are reference to objects which are categorized automatically, keeping your and your friend's bookmarks and interests well organized.

DynaQ stands for 'Dynamic Queries for document based, personal information spaces'. The goal of the project is to conceptualise and to develop a prototypical inquiry system to explore the personal information space, that supports the user with the help of the searching paradigm orienteering. The document-based, personal information space of the user constitutes by all documents on his computer. Included are documents of several file formats (e.g. *.pdf), but also the users emails. Also included are all available meta informations and existing semantic informations according to the documents. Users that are not aware of the scientific context of the project can just think of DynaQ as an desktop search engine.

ARC is a flexible RDF system for semantic web and PHP practitioners. It's free, open-source, easy to use, and runs in most web server environments. RDF and SPARQL for LAMP systems

Triplify is based on the definition of relational database queries for a specific Web application in order to retrieve valuable information and to convert the results of these queries into RDF, JSON and Linked Data. Experiences showed that for most web-applications a relatively small number of queries (mostly between 3-7) is sufficient to extract the important information. After generating such database views the Triplify software can be used to convert the view into an RDF, JSON or Linked Data representation, which can be shared and accessed on the (Semantic) Web.

For the past few months I've been an active member of Twine.com; a beta semantic web app riddled with AI to help us organize, share and discover information. The beta is still under heavy construction, but at this point in time, I've migrated entirely from Del.icio.us, personal wikis and similar online services and over to Twine.

ARC is a flexible RDF system for semantic web and PHP practitioners. It's free, open-source, easy to use, and runs in most web server environments.

The Bio2RDF project is a tool to convert bioinformatics data and knowledge bases to RDF format. It is a kind of generalized rdfizer for bioinformatics applications, and it is a place for the semantic web life science community to develop and grow.

OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWIG for text documents.

SenseBot (www.sensebot.net) represents a new type of Search Engine that delivers a summary in response to your search query instead of a collection of links to Web pages. SenseBot parses top results returned by a major Web search engine (e.g., Google) and prepares a text summary of them. The summary serves as a digest on the topic of your query, blending together the most significant and relevant aspects of the search results. The summary itself becomes the main result of your search.