November 2nd, 2011
If you are in the DC area this weekend and are interested in using Semantic Web technologies, you should come to the AAAI 2011 Fall Symposium on Open Government Knowledge: AI Opportunities and Challenges. It runs from Friday to Sunday midday at the he Westin Arlington Gateway in Arlington, Virginia.
Join us to meet the thought governmental and business leaders in US open government data activities, and discuss the challenges. The symposium features Friday (Nov 4) as governmental day with speakers on Data.gov, openEi.org, open gov data activities in NIH/NCI and NASA and Saturday (Nov 5) as R&D day with speakers from industry, including Google and Microsoft, as well international researchers.
This symposium will explore how AI technologies such as the Semantic Web, information extraction, statistical analysis and machine learning, can be used to make the valuable knowledge embedded in open government data more explicit, accessible and reusable.
See the OGK website for complete details.
November 14th, 2008
Thompson Reuters announced on their blog (Life in the Linked Data Cloud: Calais Release 4) that their next release of the Calais web-based information extraction services will support linked data.
“In that release we’ll go beyond the ability to extract semantic data from your content. We will link that extracted semantic data to datasets from dozens of other information sources, from Wikipedia to Freebase to the CIA World Fact Book. In short – instead of being limited to the contents of the document you’re processing, you’ll be able to develop solutions that leverage a large and rapidly growing information asset: the Linked Data Cloud.”
The new capabilities will be available in release 4 that is expected
out on 09 January 2009.
The change is based on Calais returning de-referenceable URIs for the entities it finds. Accessing those URIs will produce RDF with links to corresponding entities in DBpedia, Freebase and other sources of “Semantic Web” data. It will be very interesting to see how well their system does at mapping document entities (e.g., “secretary Rice”) to entities in the LOD cloud such as http://dbpedia.org/resource/Condoleezza_Rice. Accessing that URI with a request for content type application/rdf+xml returns the RDF at http://dbpedia.org/data/Condoleezza_Rice that has RDF assertions extracted by DBpedia from Wikipedia.
November 11th, 2008
Axel Polleres and David Huynh are editing a special issue of the Journal of Web Semantics on The Web of Data that will appear in the Summer 2009. Submitted papers are due by January 21, 2009. See the special issue call for papers for details.