Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/642F20FE-9A98-4D3E-A66E-CF4F3D98B565 | - |
| Identifier | https://pure.hud.ac.uk/en/publications/optimizing-a-semantically-enriched-hypercat-enabled-internet-of-t | - |
| Language | en | - |
| Extent | 8 pages | en |
| Title | Optimizing a semantically enriched hypercat-enabled internet of things data hub (Short paper) | en |
| Creator | Tachmazidis Ilias | en |
| Creator | Batsakis Sotirios | en |
| Creator | Μπατσακης Σωτηριος | el |
| Creator | Davies John R. | en |
| Creator | Duke Alistair K. | en |
| Creator | Antoniou, Grigoris | en |
| Creator | Clarke Sandra Stinčić | en |
| Publisher | CEUR Workshop Proceedings | en |
| Content Summary | Large volumes of data is generated from the increasing num-ber of sensor networks and smart devices. Such data is generated and published in multiple formats, thus highlighting the significance of inter-operability for the success of what has come to be known as the Internet of Things (IoT). The BT Hypercat Data Hub provides a focal point for the sharing and consumption of available datasets from a wide range of sources. In this work, we present a series of optimizations applied on the BT Hypercat Data Hub that enabled scalable SPARQL query answering over relational databases and an access control mechanism that filters SPARQL results based on user's subscriptions. | en |
| Type of Item | Σύντομη Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Short Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2019-10-21 | - |
| Date of Publication | 2018 | - |
| Subject | Access control | en |
| Subject | Sanitary sewers | en |
| Subject | Semantic Web | en |
| Subject | Sensor networks | en |
| Bibliographic Citation | I. Tachmazidis, S. Batsakis, J. Davies, A. Duke, G. Antoniou and S.S. Clarke, "Optimizing a semantically enriched hypercat-enabled internet of things data hub (Short paper)," in 9th International Semantic Sensor Networks Workshop, 2018, pp. 64-71. | en |
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