Problem with this idea is that .data will encourage "data servers" but not create a "data web"
Allow me to explain.
RDF[1] was created towards solving the "data web" problem. However, the challenge has been representation and modeling "things" such that we can cross-link "data" on "web". The language to create such shared representations (Web Ontology Language[2]) is difficult to use and standardize. Nevertheless, this approach has been hugely successful in knowledge-intensive domains such as biology and health care.
On the Wild Wild Web, the microformats[3] have got wide support from Search engines and web publishers.
Comments
Problem with this idea is that .data will encourage "data servers" but not create a "data web"
Allow me to explain.
RDF[1] was created towards solving the "data web" problem. However, the challenge has been representation and modeling "things" such that we can cross-link "data" on "web". The language to create such shared representations (Web Ontology Language[2]) is difficult to use and standardize. Nevertheless, this approach has been hugely successful in knowledge-intensive domains such as biology and health care.
On the Wild Wild Web, the microformats[3] have got wide support from Search engines and web publishers.
1. http://www.w3.org/RDF/
2. http://www.w3.org/TR/owl-features/
3. http://support.google.com/webmasters/bin/answer.py?hl=en&...
Don't forget the linking open data initiative: http://linkeddata.org/ They've been building a huge distributed data set.