The aim of the crowdiet project is to construct a multi-viewpoint ontology for the domain of diet and its effect on human health. The applied methodology incorporates crowdsourcing, collaborative ontology engineering and machine learning techniques. The ontology currently focuses on meat, dairy and soy-based products and contains approximately 750 statements (RDF triples).
E.S. Erez, M Zhitomirsky-Geffet, J Bar-Ilan. Subjective vs. objective evaluation of ontological statements with crowdsourcing. In proceedings of the 78th ASIS&T conference, November, 2015, St. Louis, MO, USA.
Zhitomirsky-Geffet M., Erez E. S., & Bar-Ilan J. (2016). Towards multi-viewpoint ontology construction by collaboration of non-experts and crowdsourcing: the case of the effect of diet on health. Journal of the Association for Information Science and Technology (JASIST).