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dc.contributor.authorZeginis, Dimitris
dc.contributor.authorHasnain, Ali
dc.contributor.authorLoutas, Nikolaos
dc.contributor.authorDeus, Helena
dc.contributor.authorFox, Ronan
dc.contributor.authorTarabanisa, Konstantinos
dc.date.accessioned2015-02-03T14:23:33Z
dc.date.available2015-02-03T14:23:33Z
dc.date.issued2013
dc.identifier.citationDimitris Zeginis and Ali Hasnain and Nikolaos Loutas and Helena Deus and Ronan Fox and Konstantinos Tarabanisa, (2013) 'A collaborative methodology for developing a semantic model for interlinking Cancer Chemoprevention linked-data sources'. Semantic Web Journal, :127-142.en_US
dc.identifier.issn1570-0844 (Print)
dc.identifier.urihttp://hdl.handle.net/10379/4842
dc.descriptionJournal articleen_US
dc.description.abstract                           This paper proposes a collaborative methodology for developing semantic data models. The proposed methodology for the semantic model development follows a meet-in-the-middle approach. On the one hand, the concepts emerged in a bottom-up fashion from analyzing the domain and interviewing the domain experts regarding their data needs. On the other hand, it followed a top-down approach whereby existing ontologies, vocabularies and data models were analyzed and integrated with the model. The identified elements were then fed to a multiphase abstraction exercise in order to get the concepts of the model. The derived model is also evaluated and validated by domain experts. The methodology is applied on the creation of the Cancer Chemoprevention semantic model that formally defines the fundamental entities used for annotating and describing inter-connected cancer chemoprevention related data and knowledge resources on the Web. This model is meant to offer a single point of reference for biomedical researchers to search, retrieve and annotate linked cancer chemoprevention related data and web resources. The model covers four areas related to Cancer Chemoprevention: i) concepts from the literature that refer to cancer chemoprevention, ii) facts and resources relevant for cancer prevention, iii) collections of experimental data, procedures and protocols and iv) concepts to facilitate the representation of results related to virtual screening of chemopreventive agents.en_US
dc.description.sponsorshipGRANATUM FP7 ICT Project - grant 270139.en_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.publisherIOS pressen_US
dc.relation.ispartofSemantic Web Journalen
dc.subjectCommon data modelen_US
dc.subjectCancer chemopreventionen_US
dc.subjectLinked Dataen_US
dc.subjectHCLSen_US
dc.subjectCollaborative model developmenten_US
dc.titleA collaborative methodology for developing a semantic model for interlinking Cancer Chemoprevention linked-data sourcesen_US
dc.typeArticleen_US
dc.date.updated2015-01-28T14:37:30Z
dc.local.publishedsourcehttp://www.semantic-web-journal.net/content/collaborative-development-common-semantic-model-interlinking-cancer-chemoprevention-linked-den_US
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.internal.rssid6427686
dc.local.contactSyed Muhammad Ali Hasnain, Deri, Ida Business Park, Lower Dangan, Galway. Email: ali.hasnain@deri.org
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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