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dc.contributor.advisorGrimson, Jane
dc.contributor.authorJung, Benjamin
dc.date.accessioned2019-07-25T13:30:42Z
dc.date.available2019-07-25T13:30:42Z
dc.date.issued2004
dc.identifier.citationBenjamin Jung, 'Towards semantic health records', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2004, pp 202
dc.identifier.otherTHESIS 7481
dc.identifier.urihttp://hdl.handle.net/2262/88900
dc.description.abstractThe benefit of information search and knowledge retrieval using the World Wide Web (WWW) has steadily declined in recent years due to the vast amount of unstructured data. The task of locating relevant information on the Internet has become increasingly difficult. Sophisticated search engines continuously index most of the online data but cannot readily handle situations where information is requested according to its semantic context. Information extracted without its semantic context can be difficult or even impossible to interpret, necessitating tedious and time consuming manual filtering of research results in order to locate the desired information. However, web evangelists have proposed a solution to overcome these problems by defining an extension to the existing World Wide Web, namely the Semantic Web. The basic idea is that each information unit is given a well-defined meaning within its context by using metadata to further describe and classify the data. This allows autonomous agents to roam the Semantic Web, collect, understand, reason, evaluate and compare information in a way which is currently impossible. So far, a small number of locally confined prototype implementations of the Semantic Web have been realised; a global pervasiveness is far from accomplished and some say that it will never happen. However, the potential benefits of the Semantic Web are real and it is well worth investigation how the concepts can be exploited in and adapted for information intensive domains such as healthcare. This Thesis illustrates how Semantic Web concepts and technologies can be effectively applied in the process of developing Electronic Health Record (EHR) systems.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12426472
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleTowards semantic health records
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 202
dc.description.noteTARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie


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