The W3C Semantic Web Education and Outreach (SWEO) Interest Group wishes to encourage communities of developers to come together to work on some Semantic Web projects.
There is currently a project forming called "Linking Open Data on the Semantic Web".
The Open Data Movement aims at making data freely available to everyone.
There are already various interesting open data sources available on the Web. Examples include Wikipedia, Wikibooks, Geonames, MusicBrainz, WordNet, the DBLP bibliography and many more which are published under Creative Commons or Talis licenses.
The goal of the Linking Open Data project is to make various open data sources available on the Web as RDF and to set RDF links between data items from different data sources.There are already several RDF data publishing efforts.
Examples include the dbpedia.org project, the Geonames ontology and the D2R Server publishing the DBLP bibliography. There are also initial efforts to interlink these data sources.
For instance, the dpedia RDF descriptions of geographic places include 60 000 owl:sameAs links to the corresponding place in Geonames. Another example is the RDF Book Mashup which links book authors to paper authors within the DBLP bibliography.
The motivation behind the community project is that for demonstrating the value of the Semantic Web it is essential to have more real-world data online.
RDF is also the obvious technology to interlink data from various sources.
Having such a huge interlinked dataset online would be beneficial for various Semantic Web development areas, including Semantic Web browsers and other user interfaces, Semantic Web crawlers, RDF repositories and reasoning engines.
If you also want to contribute just add your name to the Wiki page.The project has started to collect relevant material on several wiki pages, so that we get an overview about what is already there and what is currently happening.
There are currently the following pages: Datasets, RDFizers, Publishing Tools, Semantic Web Clients, Equivalence Mining and Matching Frameworks, Commonly used Vocabularies, Ontologies and Micromodels.