{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:34:07Z","timestamp":1740202447905,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"abstract":"<jats:p>Semantic interoperability based on ontologies allows systems to combine their information and process them automatically. The ability to extract meaningful fragments from ontology is a key for the ontology re-use and the construction of a subset will help to structure clinical data entries. The aim of this work is to provide a method for extracting a set of concepts for a specific domain, in order to help to define data elements of an oncologic EHR. Method: a generic extraction algorithm was developed to extract, from the NCIT and for a specific disease (i.e. prostate neoplasm), all the concepts of interest into a sub-ontology. We compared all the concepts extracted to the concepts encoded manually contained into the multi-disciplinary meeting report form (MDMRF). Results: We extracted two sub-ontologies: sub-ontology 1 by using a single key concept and sub-ontology 2 by using 5 additional keywords. The coverage of sub-ontology 2 to the MDMRF concepts was 51%. The low rate of coverage is due to the lack of definition or mis-classification of the NCIT concepts. By providing a subset of concepts focused on a particular domain, this extraction method helps at optimizing the binding process of data elements and at maintaining and enriching a domain ontology.<\/jats:p>","DOI":"10.3233\/978-1-60750-806-9-517","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T15:10:01Z","timestamp":1740150601000},"source":"Crossref","is-referenced-by-count":0,"title":["Automatic Definition of the Oncologic EHR Data Elements from NCIT in OWL"],"prefix":"10.3233","author":[{"family":"Cuggia Marc","sequence":"additional","affiliation":[]},{"family":"Bourd&eacute; Annabel","sequence":"additional","affiliation":[]},{"family":"Turlin Bruno","sequence":"additional","affiliation":[]},{"family":"Vincendeau Sebastien","sequence":"additional","affiliation":[]},{"family":"Bertaud Valerie","sequence":"additional","affiliation":[]},{"family":"Bohec Catherine","sequence":"additional","affiliation":[]},{"family":"Duvauferrier R&eacute;gis","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","User Centred Networked Health Care"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T15:15:10Z","timestamp":1740150910000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0926-9630&volume=169&spage=517"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-60750-806-9-517","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2011]]}}}