Abstract
Open and efficient sharing of information about food products and their ingredients is important for all parties of the chain ranging from the manufactures to consumers. There exist a public catalogue of some Russian food products (http://goodsmatrix.ru/) that is used by some manufactures and consumers. Although the information is open, there are many difficulties in using the site, e.g., interoperability, querying and linking that could be mitigated by Semantic Web technologies. This paper presents an approach and a project for extracting and publishing information about food products and also linking it to existing datasets in Linked Open Data Cloud.
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CITATION STYLE
Kolchin, M., Chistyakov, A., Lapaev, M., & Khaydarova, R. (2015). FOODpedia: Russian food products as a linked data dataset. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9341, pp. 87–90). Springer Verlag. https://doi.org/10.1007/978-3-319-25639-9_17
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