{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T04:47:33Z","timestamp":1648788453598},"reference-count":7,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Semantic Computing"],"published-print":{"date-parts":[[2015,9]]},"abstract":"<jats:p> The development of modern health care and clinical practice increase the need of nutritional and medical data extraction and integration across heterogeneous data sources. It can be useful for researchers and patients if there is a way to extract relevant information and organize it as easily shared and machine processable linked data. In this paper, we describe an automatic approach that extracts and publishes nutritional linked data including nutritional concepts and relationships extracted from nutritional data sources. Moreover, we link the nutritional data with Linked Open Data. In particular, a CRF-based approach is used to mine food, ingredient, disease entities and their relationships from nutritional text. And then, an extended nutritional ontology is used to organize the extracted data. Finally, we assign semantic links between food, ingredient, disease entities and other equivalent entities in DBPedia, Diseasome and LinkedCT. <\/jats:p>","DOI":"10.1142\/s1793351x15400103","type":"journal-article","created":{"date-parts":[[2015,10,20]],"date-time":"2015-10-20T15:07:25Z","timestamp":1445353645000},"page":"353-372","source":"Crossref","is-referenced-by-count":0,"title":["Extracting and Integrating Nutrition Related Linked Data"],"prefix":"10.1142","volume":"09","author":[{"given":"Qingliang","family":"Miao","sequence":"first","affiliation":[{"name":"Fujitsu R&amp;D Center CO., LTD, Chaoyang District, 10025, Beijing, P. R. China"}]},{"given":"Ruiyu","family":"Fang","sequence":"additional","affiliation":[{"name":"Fujitsu R&amp;D Center CO., LTD, Chaoyang District, 10025, Beijing, P. R. China"}]},{"given":"Yao","family":"Meng","sequence":"additional","affiliation":[{"name":"Fujitsu R&amp;D Center CO., LTD, Chaoyang District, 10025, Beijing, P. R. China"}]}],"member":"219","published-online":{"date-parts":[[2015,10,20]]},"reference":[{"key":"rf1","volume-title":"Linked Data on the Web","author":"Jentzsch A.","year":"2009"},{"key":"rf4","author":"Samwald M.","year":"2011","journal-title":"Journal of Cheminformatics"},{"key":"rf5","author":"Zhao J.","year":"2010","journal-title":"Journal of Chinese Medicine: Special Issue on Semantic Web for Chinese Medicine"},{"key":"rf11","author":"Wishart D. S.","year":"2008","journal-title":"Nucleic Acids Research"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6882-8-58"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2008.03.004"},{"key":"rf27","doi-asserted-by":"publisher","DOI":"10.1108\/eb046814"}],"container-title":["International Journal of Semantic Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1793351X15400103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:40:21Z","timestamp":1565149221000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S1793351X15400103"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9]]},"references-count":7,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2015,10,20]]},"published-print":{"date-parts":[[2015,9]]}},"alternative-id":["10.1142\/S1793351X15400103"],"URL":"https:\/\/doi.org\/10.1142\/s1793351x15400103","relation":{},"ISSN":["1793-351X","1793-7108"],"issn-type":[{"value":"1793-351X","type":"print"},{"value":"1793-7108","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,9]]}}}