DC FieldValueLanguage
dc.contributor.authorChaleplioglou, Artemis-
dc.contributor.authorPoulos, Marios-
dc.contributor.authorPapavlasopoulos, Sozon-
dc.date.accessioned2023-10-18T06:18:19Z-
dc.date.available2023-10-18T06:18:19Z-
dc.date.issued2018-08-
dc.identifier.isbn9781538675007-
dc.identifier.other85070369698-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/518-
dc.description.abstractCardiovascular diseases remain the predominant cause of morbidity and mortality worldwide. As the biomedical data are rapidly accumulated in the web, the retrieval of information by the specialists becomes challenging. The Semantic web represent the solution, through the transformation of existing data with ontologies that describe their concepts in explicit detail, into machine-readable, understandable and logical processable multifunctional metadata. Herein, using bibliographic reasoning, we present a cardiological ontology in the form of N-triples that facilitates the interplay between three scientific subdomains: (i) clinical, including anatomy, physiology and pathology; (ii) basic biological, including genes, proteins and biochemical pathways; and (iii) therapeutical cardiology, including surgical and pharmacological interventions. This Semantic research approach is anticipated to produce integrated answers into complex cardiovascular biology problems such as disease risks and genotype, combinatory therapeutics and genotype, translational and personalized medicine, while it may serve as a road map for similar applications in other scientific domains.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of 5th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2018en_US
dc.subjectCardiovascular biologyen_US
dc.subjectLinked dataen_US
dc.subjectOntologiesen_US
dc.subjectSemantic weben_US
dc.titleThe Development of a Cardiological Ontology to Describe Medical, Genetic and Pharmaceutical Entities and Interplayen_US
dc.typeConference Paperen_US
dc.relation.conference5th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2018en_US
dc.identifier.doi10.1109/MCSI.2018.00017en_US
dc.identifier.scopus2-s2.0-85070369698-
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage34en_US
dc.identifier.epage39en_US
dc.linkhttps://api.elsevier.com/content/abstract/scopus_id/85070369698en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.countryGreeceen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-6519-7428-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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