Editing Resource Description Framework (section)

== Applications ==
* [[DBpedia]] – Extracts facts from Wikipedia articles and publishes them as RDF data.
* [[YAGO (database)|YAGO]] – Similar to DBpedia extracts facts from Wikipedia articles and publishes them as RDF data.
* [[Wikidata]] – Collaboratively edited knowledge base hosted by the Wikimedia Foundation.
* [[Creative Commons]] – Uses RDF to embed license information in web pages and mp3 files.
* [[FOAF (software)|FOAF (Friend of a Friend)]] – designed to describe [[person|people]], their interests and interconnections.
* [[Haystack (PIM)|Haystack client]] – Semantic web browser from MIT CS & AI lab.<ref>{{cite web|url=http://groups.csail.mit.edu/haystack/|title=Haystack Group @ MIT CSAIL|website=groups.csail.mit.edu}}</ref>
* [[IDEAS Group]] – developing a formal [[Ontology components|4D ontology]] for [[Enterprise Architecture]] using RDF as the encoding.<ref>{{cite web|url=http://www.ideasgroup.org/|title=IDEAS Group|website=www.ideasgroup.org|access-date=2007-08-30|archive-date=2018-12-16|archive-url=https://web.archive.org/web/20181216021632/http://www.ideasgroup.org/|url-status=dead}}</ref>
* Microsoft shipped a product, Connected Services Framework,<ref>{{cite web|url=http://www.microsoft.com/serviceproviders/solutions/connectedservicesframework.mspx|title=Connected Services Framework|website=microsoft.com}}</ref> which provides RDF-based Profile Management capabilities.
* [[MusicBrainz]] – Publishes information about Music Albums.<ref>{{cite web|url=http://wiki.musicbrainz.org/RDF|title=LinkedBrainz/RDF - MusicBrainz Wiki|website=wiki.musicbrainz.org}}</ref>
* [[NEPOMUK (framework)|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 Software Compilation 4|KDE SC 4]] desktop environment.
* [[Cochrane (organisation)|Cochrane]] is a global publisher of clinical study meta-analyses in evidence based healthcare. They use an ontology driven data architecture to semantically annotate their published reviews with RDF based structured data.<ref>{{cite web|url=https://datalanguage.com/blog/how-knowledge-graph-technology-is-helping-cochrane-respond-to-covid-19|title=How knowledge graph technology is helping Cochrane respond to COVID-19|website=datalanguage.com}}</ref>
* RDF Site Summary – one of several "[[RSS (file format)|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.
* [[Simple Knowledge Organization System]] (SKOS) – a KR representation intended to support vocabulary/thesaurus applications
* [[Semantically-Interlinked Online Communities|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.<ref>{{cite web|url=http://sioc-project.org/|title=SIOC Project|website=sioc-project.org}}</ref>
* [[Smart-M3]] – provides an infrastructure for using RDF and specifically uses the ontology agnostic nature of RDF to enable heterogeneous mashing-up of information<ref>Oliver Ian, Honkola Jukka, Ziegler Jurgen (2008). “Dynamic, Localized Space Based Semantic Webs”. IADIS WWW/Internet 2008. Proceedings, p.426, IADIS Press, {{ISBN|978-972-8924-68-3}}</ref>
* [[LV2]] - a libre plugin format using Turtle to describe API/ABI capabilities and properties<ref>{{cite web|url=https://gitlab.com/lv2/lv2/-/blob/master/lv2/core/lv2core.ttl|title=LV2 core specification|website=gitlab.com}}</ref>

Some uses of RDF include research into social networking. It will also help people in business fields understand better their relationships with members of industries that could be of use for product placement.<ref>An RDF Approach for Discovering the Relevant Semantic Associations in a Social Network By Thushar A.K, and P. Santhi Thilagam</ref>  It will also help scientists understand how people are connected to one another.

RDF is being used to gain a better understanding of road 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.<ref>Traffic Information Retrieval Based on Fuzzy Ontology and RDF on the Semantic Web By Jun Zhai, Yi Yu, Yiduo Liang, and Jiatao Jiang (2008)</ref>