Application Domains
The applications domain theme deals with linked data applications on the one hand, and with all sort of specific content domains (such as statistics, software engineering, multimedia, etc.).
Linked Data Applications
Contact: Michael Hausenblas
We are working on a Technical Report about Linked Data Applications - The Genesis and the Challenges of Using Linked Data on the Web. Further, we help maintaining the linked data application list on the ESW Wiki. Eventually, we have - in co-operation with semsol - deployed a linked data application at the European Semantic Web Conference 2009.
Software Engineering
Contact: Aftab Iqbal
In the EC FP7 project Romulus we have developed the Linked Data-Driven Software Development (LD2SD) method and apply it successfully to Java projects. Read more about LD2SD in our SEKE09 conference paper; a rough overview is given in the following. In short, LD2SD covers three layers: (i) the data layer, which RDFises and interlinks software artefacts (such as source code, version control, tracker, blog posts, etc.), (ii) the integration layer, utilising several technologies to find and merge data, and (iii) the interaction layer, providing for domain-specific widgets integrated in development environments such as Eclipse.
LD2SD: making implicit connections between software artefacts explicit and allow for uniform queries.
Multimedia
Interlinking Multimedia (iM) is the motto. See the talk on Hypermedia is dead - long live linked multimedia! for an introduction or read our LDOW09 workshop paper. The principle of interlinking multimedia (iM) is depicted in the following:
iM: addressing multimedia fragments and making them linked data compliant.
Life Science and Health Care
Contact: Matthias Samwald
Research in the life sciences, development of new drugs in the pharmaceutical industry, the treatment of patients in clinical practice: all of these are associated with large amounts of distributed, heterogeneous data that are very hard to handle. The need for data integration has placed these domains in the forefront of technologies such as ontologies and, more recently, the Linked Data technologies. Data sources with content from these domains constitute a large portion of the 'Linked Data cloud', and their number is growing fast.
We are collaborating with other members of the W3C Health Care and Life Science Interest Group in exploring the potential impact of Linked Data technologies on life science and health care. For example, the Linking Open Drug Data task force of this W3C interest group is working on adding data from the pharmaceutical domain to the Linked Data infrastructure. The Health Care and Life Science Knowledge Base hosted at DERI makes RDF/OWL data available in a single, integrated SPARQL endpoint. The aTag project develops technologies and practices that enable researchers, clinicians and lay people to add new statements to the Linked Data cloud with ease.
These developments and collaborations allow us to identify current opportunities and challenges of Linked Data technologies in the knowledge domain of life science and health care, and enable us to guide stakeholders on their path towards adoption of these technologies.
Datasets from the life sciences make up a significant portion of linked data on the web
Statistics
Upcoming: a statistical linked data hub, covering data from the EC, UNO and OECD.