dc.contributor.author | Chowdhurry, Tameem | |
dc.contributor.author | Tubb, Christopher | |
dc.contributor.author | Vidalis, Stilianos | |
dc.date.accessioned | 2017-09-14T16:44:10Z | |
dc.date.available | 2017-09-14T16:44:10Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Chowdhurry , T , Tubb , C & Vidalis , S 2014 , ' Bridging Semantics with Ontologies ' , International Journal On Advances in Intelligent Systems , vol. 7 , no. 1&2 . | |
dc.identifier.issn | 1942-2679 | |
dc.identifier.uri | http://hdl.handle.net/2299/19401 | |
dc.description | Stilianos 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.abstract | Semantic 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.extent | 566272 | |
dc.language.iso | eng | |
dc.relation.ispartof | International Journal On Advances in Intelligent Systems | |
dc.title | Bridging Semantics with Ontologies | en |
dc.contributor.institution | Centre for AI and Robotics Research | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Cybersecurity and Computing Systems | |
dc.contributor.institution | Networks and Security Research Centre | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |