FOAF Vocabulary Specification
By D. Brickley. 2004
621 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/f72ef6c3cc01850f68f5d1cb620e9d019fb1721b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jie Tang
- Harry Chen
- William W. Cohen
- Lise Getoor
- Katrien Verbert
- Filip Perich
- Charu C. Aggarwal
- Jing Zhang
Citations in the corpus
- Context-Aware Recommender Systems for Learning: A Survey and Future Challenges (2012, methodology): “The FOAF specification [14] is often used to describe such user relations and roles.”
- DogOnt - Ontology Modeling for Intelligent Domotic Environments (2008, background): “These concepts are expressed as 9 distinct ontologies aligned to well known vocabularies such as FOAF [7], DAML Time [8], OpenCyc [9] and RCC [10].”
- Knowledge Graph Identification (2013, methodology): “MusicBrainz MusicBrainz is a community-driven, open-source, structured database for music metadata, including information about artists, albums, and tracks, The Music Ontology is built on top of many well known ontologies, such as FRBR [18] and FOAF [19], and has been used widely, for instance in BB”
- SOUPA: standard ontology for ubiquitous and pervasive applications (2004, methodology): “The ontologies that are referenced by SOUPA include the Friend-Of-A-Friend ontology (FOAF) [5, 26], DAMLTime and the entry sub-ontology of time [22], the spatial ontologies in OpenCyc [19], Regional Connection Calculus (RCC) [28], COBRA-ONT [7], MoGATU BDI ontology [23], and the Rei policy ontology ”
- ArnetMiner: extraction and mining of academic social networks (2008, methodology): “We define the schema of the researcher profile (as shown in Figure 2) by extending the FOAF ontology [9].”
- An ontology for context-aware pervasive computing environments (2003, methodology): “We have chosen the OWL language to model context ontologies for the following reasons : • OWL is much more expressive than RDF or RDFS , allowing us to build more knowledge into the ontology .”