Linked Data

 

Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods. More specifically, Wikipedia defines Linked Data as "a term used to describe a recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF."

 

The four rules of linked data are:

1. Use URIs as names for things (human readable)
2. Use HTTP URIs so that people can look up those names
3. When someone looks up a URI, provide useful information using standards (RDF*, SPARQL)
4. Includes links to other URIs, so they can discover more things.


With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and survivorship plans has been changing at a pace that creates challenges when physicians try to remain current.

The Data-gov Wiki is the delivery site for a project where we investigate the role of linked data in producing, processing and utilizing the government datasets found on data.gov.

A number of governments have started to publish their sta- tistical data online. Some of them are adhering to Linked Data principles, others are using other standards which of- ten can be transformed in order to be published as Linked Data.

The Open Government Directive is making US government data available via websites such as Data.gov for public access. In this paper, we present a Semantic Web based approach that incrementally generates Linked Government Data (LGD) for the US government.

This paper introduces POMELo, a simple, web-based PML (Proof Markup Language) editor. The objective of POMELo is to allow users to create, edit, validate and export provenance information in the form of PML documents.

The World Wide Web is a vast, diverse, and dynamic ecosys- tem of content authored and consumed with innumerable frequency. Al- though content may have an original purpose, it can and will be repur- posed in new and unexpected ways.

International open government initiatives are releasing an increasing number of “raw” government datasets directly to citizens via the Web, creating new opportunities but imposing burdens inherent to the problems of large-scale distributed data integration, collaborative data manipulation and tra