When seeking information through mechanisms such as word of mouth, people choose information sources and make trust judgments about these sources based on a range of factors, including the expertise of the source in relevant fields. In this paper we describe the Hoonoh Ontology, a vocabulary for describing these factors and publishing associated data on the Semantic Web. The ontology maps to existing vocabularies such as FOAF and SKOS, and when coupled with appropriate algorithms can be used to populate the Semantic Web with data to support expert finding initiatives.
Resource URI on the dog food server: http://data.semanticweb.org/workshop/pickme/2008/paper/main/11
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