%0 Report %1 Alexiev2015-EFD-classification %A Alexiev, Vladimir %D 2015 %K AGROVOC DBpedia Europeana UMBEL Wikipedia WordNet categorization classification cultural_heritage food_and_drink %N D2.2 %T Europeana Food and Drink Classification Scheme %U http://rawgit2.com/VladimirAlexiev/my/master/pubs/Europeana-Food-and-Drink-Classification-Scheme-(D2.2).pdf %X The Europeana Food and Drink Classification scheme (EFD classification) is a multi-dimensional scheme for discovering and classifying Cultural Heritage Objects (CHO) related to Food and Drink (FD). The topic of Food and Drink is so pervasive in our daily lives and in our culture that assembling a small "specialist" thesaurus is not feasible (such specialist thesauri were successfully used in other Europeana projects, eg ECLAP on performing arts and PartagePlus on Art Nouveau). We investigate about 20 datasets for their relevance to FD, including the Getty theasuri, Wordnet FD Domain, Wikipedia (in its 2 semantic data representations: DBpedia and Wikidata), AGROVOC, etc. We have selected Wikipedia as the basis for the classification, and plan to use the Wikipedia Categories to construct a hierarchical network to be used for classification. The project will also use innovative semantic technologies to automate the extraction of terms and co-references. The result will be a body of semantically-enriched metadata that can support a wider range of multi-lingual applications such as search, discovery and browsing. (91 pages)

@techreport{Alexiev2015-EFD-classification, abstract = {The Europeana Food and Drink Classification scheme (EFD classification) is a multi-dimensional scheme for discovering and classifying Cultural Heritage Objects (CHO) related to Food and Drink (FD). The topic of Food and Drink is so pervasive in our daily lives and in our culture that assembling a small "specialist" thesaurus is not feasible (such specialist thesauri were successfully used in other Europeana projects, eg ECLAP on performing arts and PartagePlus on Art Nouveau). We investigate about 20 datasets for their relevance to FD, including the Getty theasuri, Wordnet FD Domain, Wikipedia (in its 2 semantic data representations: DBpedia and Wikidata), AGROVOC, etc. We have selected Wikipedia as the basis for the classification, and plan to use the Wikipedia Categories to construct a hierarchical network to be used for classification. The project will also use innovative semantic technologies to automate the extraction of terms and co-references. The result will be a body of semantically-enriched metadata that can support a wider range of multi-lingual applications such as search, discovery and browsing. (91 pages)}, added-at = {2021-08-25T16:07:36.000+0200}, author = {Alexiev, Vladimir}, biburl = {https://www.bibsonomy.org/bibtex/23a4bb118651f571c6d91d05e843f97ea/valexiev}, institution = {Europeana Food and Drink project}, interhash = {00e21cf9a16384030221acabc9ae3a04}, intrahash = {3a4bb118651f571c6d91d05e843f97ea}, keywords = {AGROVOC DBpedia Europeana UMBEL Wikipedia WordNet categorization classification cultural_heritage food_and_drink}, month = feb, number = {D2.2}, timestamp = {2021-08-25T16:07:36.000+0200}, title = {{Europeana Food and Drink Classification Scheme}}, type = {Deliverable}, url = {http://rawgit2.com/VladimirAlexiev/my/master/pubs/Europeana-Food-and-Drink-Classification-Scheme-(D2.2).pdf}, url_slides = {http://www.slideshare.net/valexiev1/europeana-food-and-drink-classification-scheme}, year = 2015 }