Datao is a semantic web browser.
It has all the capabilities of a modern web browser, it can browse the WorldWideWeb with all the Web2.0 features. But Datao is also a browser for the next-gen Web, the Semantic Web. That adds new exciting features to this piece of software:
musicSpace is a cross discipline project between Music and Electronic & Computer Science at the University of Southampton which aims to use Web2.0 & Semantic Web technologies to improve musicological research workflows.
smarchive means easy and central storing of all your documents - both hardcopy and digital ones. Our savvy archive saves you time, work and nerves and files your documents securely for ever.
BoingOpia Corporation's Patent Pending Technology allows Internet surfers to instantly create a microsite of any website and share it to other social networks, web pages, blogs, ad networks, etc..
LOV, your entry point to the growing ecosystem of linked open vocabularies (RDFS or OWL ontologies) used in the Linked Data Cloud. Here you will find vocabularies listed and individually described by metadata, classified by vocabulary spaces, interlinked using the dedicated vocabulary VOAF.
You will enjoy querying the LOV dataset either at vocabulary level or at element level, exploring the vocabulary content using full-text faceted search, and finding metrics about the use of vocabularies in the Semantic Web.
OpenLink Data Spaces (ODS)A distributed collaborative application platform that provides a "Linked Data Junction Box" for Web protocols accessible data across a myriad of data sources.
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.
In combination with a complex news-gathering system, we use this engine to analyze more than 100,000 articles every day, all in real time. We identify 700,000+ different companies, people, brands and locations, understand the locality and topics that every article covers, collect the articles into story clusters, and visualize every story in the best possible way.
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