Using DBPedia in Europeana Food and Drink. Alexiev, V. presentation, February, 2016.
Paper
Pdf abstract bibtex The Europeana Food and Drink project collects cultural heritage objects for and develops applications related to Food and Drink heritage. As part of the project, Ontotext developed a FD Classification based on Wikipedia/DBpedia Categories, a semantic enrichment service that annotates each CHO with FD Topics and Places, and a semantic application (https://efd.ontotext.com/app) that implements hierarchical semantic facets and semantic search for these facets. We'll also be packaging the enrichment as a service for others to use in a crowdsourced annotation application. We will explain how we used Categories to build a domain-specific gazetteer, used external datasets (eg UMBEL domains and DBTax types), correlated DBpedia places to Geonames to use the place hierarchy, and the workings of the semantic application
@Misc{Alexiev2016-EFD-DBpedia,
author = {Vladimir Alexiev},
title = {{Using DBPedia in Europeana Food and Drink}},
howpublished = {presentation},
month = feb,
year = 2016,
url = {https://drive.google.com/file/d/0B7je1jgVmCgIZzNiWmdqTGpDa28/view},
url_PDF = {https://rawgit2.com/VladimirAlexiev/my/master/pres/20160212-Using-DBPedia-in-Europeana-Food-and-Drink.pdf},
keywords = {Europeana, cultural heritage, food and drink, DBpedia, Geonames, semantic application, faceted search, semantic search},
address = {DBpedia Meeting, The Hague, Netherlands},
abstract = {The Europeana Food and Drink project collects cultural heritage objects for and develops applications related to Food and Drink heritage. As part of the project, Ontotext developed a FD Classification based on Wikipedia/DBpedia Categories, a semantic enrichment service that annotates each CHO with FD Topics and Places, and a semantic application (https://efd.ontotext.com/app) that implements hierarchical semantic facets and semantic search for these facets. We'll also be packaging the enrichment as a service for others to use in a crowdsourced annotation application. We will explain how we used Categories to build a domain-specific gazetteer, used external datasets (eg UMBEL domains and DBTax types), correlated DBpedia places to Geonames to use the place hierarchy, and the workings of the semantic application},
}
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