Resource Description Framework - Applications

Applications

• Sigma - Application from DERI in National University of Ireland, Galway(NUIG).
• Creative Commons - Uses RDF to embed license information in web pages and mp3 files.
• DOAC (Description of a Career) - supplements FOAF to allow the sharing of résumé information.
• Enterprise Architect: MDG Technology for ODM (ODM supports RDF and OWL).
• FOAF (Friend of a Friend) - designed to describe people, their interests and interconnections.
• Haystack client - Semantic web browser from MIT CS & AI lab.
• IDEAS Group - developing a formal 4D Ontology for Enterprise Architecture using RDF as the encoding.
• Microsoft shipped a product, Connected Services Framework, which provides RDF-based Profile Management capabilities.
• MusicBrainz - Publishes information about Music Albums.
• NEPOMUK, an open-source software specification for a Social Semantic desktop uses RDF as a storage format for collected metadata. NEPOMUK is mostly known because of its integration into the KDE SC 4 desktop environment.
• RDF Site Summary - one of several "RSS" languages for publishing information about updates made to a web page; it is often used for disseminating news article summaries and sharing weblog content.
• ResumeRDF - developed to express information contained in a personal Resume or Curriculum Vitae (CV) on the Semantic Web. This includes information about work and academic experience, skills, etc.
• Simple Knowledge Organization System (SKOS) - a KR representation intended to support vocabulary/thesaurus applications
• SIOC (Semantically-Interlinked Online Communities) - designed to describe online communities and to create connections between Internet-based discussions from message boards, weblogs and mailing lists.
• Smart-M3 - provides an infrastructure for using RDF and specifically uses the ontology agnostic nature of RDF to enable heterogeneous mashing-up of information
• Many other RDF schemas are available by searching SchemaWeb.

Some uses of RDF include research into social networking. This is important because it could help governments keep track of undesirables. It will also help people in business fields understand better their relationships with members of industries that could be of use for product placement. It will also help scientists understand how people are connected to one another.

RDF is being used to have a better understanding of traffic patterns. This is because the information regarding traffic patterns is on different websites, and RDF is used to integrate information from different sources on the web. Before, the common methodology was using keyword searching, but this method is problematic because it does not consider synonyms. This is why ontologies are useful in this situation. But one of the issues that comes up when trying to efficiently study traffic is that to fully understand traffic, concepts related to people, streets, and roads must be well understood. Since these are human concepts, they require the addition of fuzzy logic. This is because values that are useful when describing roads, like slipperiness, are not precise concepts and cannot be measured. This would imply that the best solution would incorporate both fuzzy logic and ontology.