Despite persisting in popularity, email is still plagued with information overload, hindering the workflow of data handled by the user. Just as Semantic Web technologies promise to revolutionize the Web, we aspire to use ...

The SIOC Ontology can be used to express information from the online community sites in a machine readable form using RDF. This rich data structure allows us to easily analyse and extract social relations from these ...

This paper introduces the NEPOMUK project which aims to create a standard and reference implementation for the Social Semantic Desktop. We outline the requirements and functionalities that were identified for a useful ...

Current web search engines return links to documents for user-specified keywords queries. Users have to then manually trawl through lists of links and glean the required information from documents. In contrast, semantic ...

Lightweight ontologies in the formof RDF vocabularies such as SIOC, FOAF, vCard, etc. are increasingly being used and exported by ¿serious¿ applications recently. Such vocabularies, together with query languages like SPARQL ...

While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ...

Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. While the abundance of unstructured text helps ...

Multiple datasets that add high value to biomedical research have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. The ability to easily navigate through these datasets is crucial for ...

SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality ...