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dc.contributor.authorChaleplioglou, Artemis-
dc.contributor.authorPapavlasopoulos, Sozon-
dc.contributor.authorPoulos, Marios-
dc.date.accessioned2023-10-17T13:35:32Z-
dc.date.available2023-10-17T13:35:32Z-
dc.date.issued2019-
dc.identifierscopus-85115346316-
dc.identifier.issn2224-3402-
dc.identifier.issn1790-0832-
dc.identifier.other85115346316-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/501-
dc.description.abstractAccess and retrieval of scholarly data through the web is often difficult because of the lack of intelligent algorithms that could logical analyze and compute the searching requests. The Semantic web represent the solution to this problem. The building of a new semantic ontology, to describe particular knowledge domain, is a challenging and demanding approach. Herein, we explore cardiology as a paradigm for the definition of a sufficient vocabulary. Firstly, we define a set of textbooks of the knowledge domain according to the following criteria: (a) degree of field coverage; (b) recommendations and guidelines of the field professionals; and (c) popularity of the textbooks based on sales analytics and bibliometrics. Secondly, we extract the terms indexed in these textbooks in worksheets allowing duplicates. Thirdly, we used the frequency of appearances of a term in the combined master index as an independent and objective quantitative variable of its impact in the knowledge domain description. Finally, we define the desirable power of the knowledge field description of our new ontology and use the subset of the most frequent terms as core for the building of the new ontology. This road map may serve in similar applications in ontology generation and maintenance.en_US
dc.language.isoenen_US
dc.relation.ispartofWSEAS Transactions on Information Science and Applicationsen_US
dc.subjectBibliometricsen_US
dc.subjectCardiovascular biologyen_US
dc.subjectIntelligent algorithmen_US
dc.subjectLinked dataen_US
dc.subjectOntologyen_US
dc.subjectSemantic weben_US
dc.titleMinimisation of Terms to Describe a Knowledge Domain for Ontology Engineering and Linked Data Generationen_US
dc.typeArticleen_US
dc.identifier.scopus2-s2.0-85115346316-
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume16en_US
dc.identifier.spage64en_US
dc.identifier.epage68en_US
dc.linkhttps://www.wseas.org/multimedia/journals/information/2019/a145109-098.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
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-
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