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dc.contributor.authorChowdhurry, Tameem
dc.contributor.authorTubb, Christopher
dc.contributor.authorVidalis, Stilianos
dc.date.accessioned2017-09-14T16:44:10Z
dc.date.available2017-09-14T16:44:10Z
dc.date.issued2014
dc.identifier.citationChowdhurry , T , Tubb , C & Vidalis , S 2014 , ' Bridging Semantics with Ontologies ' , International Journal On Advances in Intelligent Systems , vol. 7 , no. 1&2 .
dc.identifier.issn1942-2679
dc.identifier.urihttp://hdl.handle.net/2299/19401
dc.descriptionStilianos Vidalis, and Olga Angelopoulou, ‘Assessing Identity Theft in the Internet of Things’, journal of IT Governance Practice, Vol. 2 (1): 15-21, March 2014. Published by Innovative Information Science & Technology Research Group (ISYOU).
dc.description.abstractSemantic metadata enables contextual and relevant data to be identified for a particular entity. The use of ontologies creates a bridging mechanism, whereby semantic metadata can be referenced and validated to ensure that relevant and useful information is collected. This also ensures trust and logic can be attained in search functionality. The paper explores the foundations of the research for the design of an Information Gathering tool for the Business Intelligence Domain. The aim of the project is to effectively present next to real-time knowledgeable answers to runtime user generated queries for extracting business intelligence. The tool will collect information from disparate sources and requires the implementation of semantics to safeguard the future of knowledge discovery and reuse. This paper summaries the research and conceptualisation for our Information Gathering tool using semantic metadata to be utilised in the area of Business Intelligence.en
dc.format.extent566272
dc.language.isoeng
dc.relation.ispartofInternational Journal On Advances in Intelligent Systems
dc.titleBridging Semantics with Ontologiesen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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