{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T12:24:59Z","timestamp":1759580699263,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030661953"},{"type":"electronic","value":"9783030661960"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-66196-0_19","type":"book-chapter","created":{"date-parts":[[2021,1,14]],"date-time":"2021-01-14T04:22:38Z","timestamp":1610598158000},"page":"413-426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9091-4735","authenticated-orcid":false,"given":"Gorjan","family":"Popovski","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7597-2590","authenticated-orcid":false,"given":"Barbara Korou\u0161i\u0107","family":"Seljak","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7330-1902","authenticated-orcid":false,"given":"Tome","family":"Eftimov","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,14]]},"reference":[{"key":"19_CR1","unstructured":"Alexander, M., Anderson, J.: The hansard corpus 1803\u20132003 (2012)"},{"key":"19_CR2","unstructured":"Association, A.M., et al.: CPT, 1989: Physician\u2019s Current Procedural Terminology. American Medical Association Press (1989)"},{"issue":"suppl-1","key":"19_CR3","doi-asserted-by":"publisher","first-page":"D267","DOI":"10.1093\/nar\/gkh061","volume":"32","author":"O Bodenreider","year":"2004","unstructured":"Bodenreider, O.: The unified medical language system (UMLs): integrating biomedical terminology. Nucleic Acids Res. 32(suppl-1), D267\u2013D270 (2004)","journal-title":"Nucleic Acids Res."},{"issue":"4","key":"19_CR4","doi-asserted-by":"publisher","first-page":"372","DOI":"10.3390\/fi7040372","volume":"7","author":"MNK Boulos","year":"2015","unstructured":"Boulos, M.N.K., Yassine, A., Shirmohammadi, S., Namahoot, C.S., Br\u00fcckner, M.: Towards an \u201cinternet of food\u201d: food ontologies for the internet of things. Future Internet 7(4), 372\u2013392 (2015)","journal-title":"Future Internet"},{"issue":"1","key":"19_CR5","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1504\/IJMSO.2012.048511","volume":"7","author":"C Caracciolo","year":"2012","unstructured":"Caracciolo, C., Stellato, A., Rajbahndari, S., Morshed, A., Johannsen, G., Jaques, Y., Keizer, J.: Thesaurus maintenance, alignment and publication as linked data: the AGROVOC use case. Int. J. Metadata Semant. Ontol. 7(1), 65\u201375 (2012)","journal-title":"Int. J. Metadata Semant. Ontol."},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"\u00c7elik, D.: Foodwiki: Ontology-driven mobile safe food consumption system. Sci. World Jo. 2015 (2015)","DOI":"10.1155\/2015\/475410"},{"key":"19_CR7","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.jbi.2015.09.010","volume":"58","author":"Y Chen","year":"2015","unstructured":"Chen, Y., Lasko, T.A., Mei, Q., Denny, J.C., Xu, H.: A study of active learning methods for named entity recognition in clinical text. J. Biomed. Inform. 58, 11\u201318 (2015)","journal-title":"J. Biomed. Inform."},{"key":"19_CR8","unstructured":"First DataBank: National drug data file (NDDF) (2008)"},{"key":"19_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1007\/978-3-540-85760-0_76","volume-title":"Advances in Multilingual and Multimodal Information Retrieval","author":"MC D\u00edaz-Galiano","year":"2008","unstructured":"D\u00edaz-Galiano, M.C., Garc\u00eda-Cumbreras, M.\u00c1., Mart\u00edn-Valdivia, M.T., Montejo-R\u00e1ez, A., Ure\u00f1a-L\u00f3pez, L.A.: Integrating MeSH ontology to improve medical information retrieval. In: Peters, C., Jijkoun, V., Mandl, T., M\u00fcller, H., Oard, D.W., Pe\u00f1as, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 601\u2013606. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-85760-0_76"},{"key":"19_CR10","first-page":"279","volume":"121","author":"K Donnelly","year":"2006","unstructured":"Donnelly, K.: SNOMED-CT: The advanced terminology and coding system for eHealth. Stud. Health Technol. Inform. 121, 279 (2006)","journal-title":"Stud. Health Technol. Inform."},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"(EFSA), E.F.S.A.: The food classification and description system foodex 2 (revision 2). EFSA Supporting Publications 12(5), 804E (2015)","DOI":"10.2903\/sp.efsa.2015.EN-804"},{"issue":"6","key":"19_CR12","doi-asserted-by":"publisher","first-page":"542","DOI":"10.3390\/nu9060542","volume":"9","author":"T Eftimov","year":"2017","unstructured":"Eftimov, T., Koro\u0161ec, P., Korou\u0161i\u0107 Seljak, B.: Standfood: Standardization of foods using a semi-automatic system for classifying and describing foods according to FoodEx2. Nutrients 9(6), 542 (2017)","journal-title":"Nutrients"},{"issue":"6","key":"19_CR13","doi-asserted-by":"publisher","first-page":"e0179488","DOI":"10.1371\/journal.pone.0179488","volume":"12","author":"T Eftimov","year":"2017","unstructured":"Eftimov, T., Korou\u0161i\u0107 Seljak, B., Koro\u0161ec, P.: A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations. PLoS ONE 12(6), e0179488 (2017)","journal-title":"PLoS ONE"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Gligic, L., Kormilitzin, A., Goldberg, P., Nevado-Holgado, A.: Named entity recognition in electronic health records using transfer learning bootstrapped neural networks. arXiv preprint arXiv:1901.01592 (2019)","DOI":"10.1016\/j.neunet.2019.08.032"},{"key":"19_CR15","unstructured":"Griffiths, E.J., Dooley, D.M., Buttigieg, P.L., Hoehndorf, R., Brinkman, F.S., Hsiao, W.W.: Foodon: a global farm-to-fork food ontology. In: ICBO\/BioCreative (2016)"},{"key":"19_CR16","unstructured":"Groves, S.: How allrecipes. com became the worlds largest food\/recipe site. roi of social media (blog) (2013)"},{"key":"19_CR17","unstructured":"Jonquet, C., Shah, N., Youn, C., Callendar, C., Storey, M.A., Musen, M.: NCBO annotator: semantic annotation of biomedical data. In: International Semantic Web Conference, Poster and Demo Session, vol. 110 (2009)"},{"key":"19_CR18","unstructured":"Kolchin, M., Zamula, D.: Food product ontology: initial implementation of a vocabulary for describing food products. In: Proceeding of the 14th Conference of Open Innovations Association FRUCT, Helsinki, Finland, pp. 11\u201315 (2013)"},{"issue":"4","key":"19_CR19","doi-asserted-by":"publisher","first-page":"6","DOI":"10.18356\/5940d90a-en","volume":"51","author":"A Lartey","year":"2015","unstructured":"Lartey, A.: End hunger, achieve food security and improved nutrition and promote sustainable agriculture. UN Chronicle 51(4), 6\u20138 (2015)","journal-title":"UN Chronicle"},{"issue":"5","key":"19_CR20","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/MITP.2005.122","volume":"7","author":"S Liu","year":"2005","unstructured":"Liu, S., Ma, W., Moore, R., Ganesan, V., Nelson, S.: RXNORM: prescription for electronic drug information exchange. IT Prof. 7(5), 17\u201323 (2005)","journal-title":"IT Prof."},{"issue":"1","key":"19_CR21","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1075\/li.30.1.03nad","volume":"30","author":"D Nadeau","year":"2007","unstructured":"Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Lingvisticae Investigationes 30(1), 3\u201326 (2007)","journal-title":"Lingvisticae Investigationes"},{"issue":"suppl-2","key":"19_CR22","doi-asserted-by":"publisher","first-page":"W170","DOI":"10.1093\/nar\/gkp440","volume":"37","author":"NF Noy","year":"2009","unstructured":"Noy, N.F., et al.: Bioportal: ontologies and integrated data resources at the click of a mouse. Nucleic Acids Res. 37(suppl-2), W170\u2013W173 (2009)","journal-title":"Nucleic Acids Res."},{"issue":"2","key":"19_CR23","first-page":"277","volume":"1","author":"JA Pennington","year":"1994","unstructured":"Pennington, J.A., Smith, E.C., Chatfield, M.R., Hendricks, T.C.: Langual: a food-description language. Terminology. Int. J. Theoret. Appl. Issues Special. Commun. 1(2), 277\u2013289 (1994)","journal-title":"Int. J. Theoret. Appl. Issues Special. Commun."},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Popovski, G., Ispirova, G., Hadzi-Kotarova, N., Valen\u010di\u010d, E., Eftimov, T., Korou\u0161i\u0107 Seljak, B.: Food data integration by using heuristics based on lexical and semantic similarities. In: Proceedings of the 13th International Conference on Health Informatics (2020, in Press)","DOI":"10.5220\/0008990602080216"},{"key":"19_CR25","doi-asserted-by":"crossref","unstructured":"Popovski, G., Kochev, S., Korou\u0161i\u0107 Seljak, B., Eftimov, T.: Foodie: a rule-based named-entity recognition method for food information extraction. In: Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2019), pp. 915\u2013922 (2019)","DOI":"10.5220\/0007686309150922"},{"key":"19_CR26","doi-asserted-by":"publisher","unstructured":"Popovski, G., Korou\u0161i\u0107 Seljak, B., Eftimov, T.: FoodOntoMap: linking food concepts across different food ontologies. In: Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, pp. 195\u2013202. INSTICC, SciTePress (2019). https:\/\/doi.org\/10.5220\/0008353201950202","DOI":"10.5220\/0008353201950202"},{"key":"19_CR27","doi-asserted-by":"publisher","unstructured":"Popovski, G., Seljak, B.K., Eftimov, T.: FoodBase corpus: a new resource of annotated food entities. Database 2019, November 2019. https:\/\/doi.org\/10.1093\/database\/baz121","DOI":"10.1093\/database\/baz121"},{"key":"19_CR28","doi-asserted-by":"crossref","unstructured":"Quan, H., et al.: Coding algorithms for defining comorbidities in icd-9-cm and icd-10 administrative data. Medical care pp. 1130\u20131139 (2005)","DOI":"10.1097\/01.mlr.0000182534.19832.83"},{"key":"19_CR29","unstructured":"Rayson, P., Archer, D., Piao, S., McEnery, A.: The UCREL semantic analysis system (2004)"},{"key":"19_CR30","doi-asserted-by":"crossref","unstructured":"Snae, C., Br\u00fcckner, M.: Foods: a food-oriented ontology-driven system. In: 2nd IEEE International Conference on Digital Ecosystems and Technologies, DEST 2008 pp. 168\u2013176. IEEE (2008)","DOI":"10.1109\/DEST.2008.4635195"},{"key":"19_CR31","doi-asserted-by":"crossref","unstructured":"Wang, Q., Zhou, Y., Ruan, T., Gao, D., Xia, Y., He, P.: Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition. J. Biomed. Inform. 103133 (2019)","DOI":"10.1016\/j.jbi.2019.103133"},{"key":"19_CR32","unstructured":"Wang, Y.: An empirical evaluation of semantic similarity measures using the wordnet and UMLS ontologies. Ph.D. thesis, Miami University (2005)"}],"container-title":["Communications in Computer and Information Science","Knowledge Discovery, Knowledge Engineering and Knowledge Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-66196-0_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,14]],"date-time":"2021-01-14T04:36:47Z","timestamp":1610599007000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-66196-0_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030661953","9783030661960"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-66196-0_19","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"14 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IC3K","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vienna","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Austria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ic3k2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic3k.org\/?y=2019","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"PRIMORIS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"220","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}