Towards a semantic medical Web: HealthCyberMap’s tool for building an RDF metadata base of health information resources based on the Qualified Dublin Core Metadata SetMaged N. Kamel Boulos, Abdul V. Roudsari, Ewart R. Carson
Med Sci Monit 2002; 8(7): MT124-126 :: ID: 510682
Background: HealthCyberMap (http://healthcybermap.semanticweb.org/) aims at mapping Internet health information resources in novel ways for enhanced retrieval and navigation. This is achieved by collecting appropriate resource metadata in an unambiguous form that preserves semantics.
Material/Methods: We modelled a qualified Dublin Core (DC) metadata set ontology with extra elements for resource quality and geographical provenance in Protégé-2000. A metadata collection form helps acquiring resource instance data within Protégé. The DC subject field is populated with UMLS terms directly imported from UMLS Knowledge Source Server using UMLS tab, a Protégé-2000 plug-in. The project is saved in RDFS/RDF.
Results: The ontology and associated form serve as a free tool for building and maintaining an RDF medical resource metadata base. The UMLS tab enables browsing and searching for concepts that best describe a resource, and importing them to DC subject fields. The resultant metadata base can be used with a search and inference engine, and have textual and/or visual navigation interface(s) applied to it, to ultimately build a medical Semantic Web portal. Different ways of exploiting Protégé-2000 RDF output are discussed.
Conclusions: By making the context and semantics of resources, not merely their raw text and formatting, amenable to computer 'understanding,' we can build a Semantic Web that is more useful to humans than the current Web. This requires proper use of metadata and ontologies. Clinical codes can reliably describe the subjects of medical resources, establish the semantic relationships (as defined by underlying coding scheme) between related resources, and automate their topical categorisation.
Keywords: clinical codes, Dublin Core, metadata, ontologies, semantic web modelling
01 February 2023 : EditorialEditorial: The XBB.1.5 (‘Kraken’) Subvariant of Omicron SARS-CoV-2 and its Rapid Global Spread
Med Sci Monit 2023; 29:e939580
19 January 2023 : Clinical ResearchEvaluation of Health-Related Quality of Life and Mental Health in 729 Medical Students in Indonesia During ...
Med Sci Monit In Press; DOI: 10.12659/MSM.938892
19 January 2023 : Clinical ResearchDetermining the Impact of the COVID-19 Pandemic on Dental Care in the Serbian Adult Population: An Online Q...
Med Sci Monit 2023; 29:e939238
27 December 2022 : Clinical ResearchEffect of Physiotherapy to Correct Rounded Shoulder Posture in 30 Patients During the COVID-19 Pandemic in ...
Med Sci Monit 2022; 28:e938926
06 Feb 2023 : Clinical ResearchDouble C-Arm Digital Subtraction Angiography Guidance During Transjugular Intrahepatic Portosystemic Shunt ...
Med Sci Monit In Press; DOI: 10.12659/MSM.938912
06 Feb 2023 : Review articleEvolution of Hybrid Intelligence and Its Application in Evidence-Based Medicine: A Review
Med Sci Monit In Press; DOI: 10.12659/MSM.939366
03 Feb 2023 : Clinical ResearchTreatment of Gingival Recession Defects with Pouch and Tunnel Technique Using Connective Tissue Graft and L...
Med Sci Monit In Press; DOI: 10.12659/MSM.938865
Most Viewed Current Articles
13 Nov 2021 : Clinical ResearchAcceptance of COVID-19 Vaccination and Its Associated Factors Among Cancer Patients Attending the Oncology ...
Med Sci Monit 2021; 27:e932788
30 Dec 2021 : Clinical ResearchRetrospective Study of Outcomes and Hospitalization Rates of Patients in Italy with a Confirmed Diagnosis o...
Med Sci Monit 2021; 27:e935379
08 Mar 2022 : Review articleA Review of the Potential Roles of Antioxidant and Anti-Inflammatory Pharmacological Approaches for the Man...
Med Sci Monit 2022; 28:e936292