The Semantic/Data Web programme involves the sharing and processing of data by automated tools as well as by people. The central idea of this vision is to extend the current human-centric web by encoding the semantics of web-resources in a machine-interpretable form in order to be able to automatically integrate data from different sources, to perform actions on behalf of the user, and to search for information based on its meaning rather than its syntactic form.
Topics:
Distributed architectures for structured data on the Web
Emergent semantics of structured data repositories
Ontologies and representation languages
Provenance, trust & security
Semantic annotation and metadata
Brokering, integration and interoperability between different data sources
Annotation of multimedia
Search and retrieval based on document understanding
Web data mining, ontology learning
Applications of Semantic Web formats for learning and science
Social networks, web communities
Other novel applications that exploit structured data sources on the Web