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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuqian Song Keeney, J. Conlan, O. |
| Copyright Year | 2012 |
| Description | Author affiliation: FAME & KDEG, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland (Yuqian Song; Conlan, O.) || Network Management Lab, LM Ericsson, Athlone, Co. WestMeath, Ireland (Keeney, J.) |
| Abstract | Advances in modern technologies have afforded end-users increased convenience in performing everyday activities. However, even seemingly trivial issues can cause great annoyance for the ordinary user who lacks domain expertise of the often complex systems that underpin these advances. A key challenge lies in assisting non-expert users to express their requirements of an obscure and complex system. This research proposes a semantic approach by using domain expert knowledge to enable real time semantic up-lift in supporting novice end-users to understand and control the complex dynamic systems they must manage. This presents a significant opportunity to increase user satisfaction and reduce associated support costs. This semantic approach has been designed and implemented in an early prototype of our Home Area Network Monitoring System (HANMS). This paper presents a detailed description of the current state of the research, an initial evaluation, and future work. |
| Starting Page | 550 |
| Ending Page | 553 |
| File Size | 1183165 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467302678 |
| ISSN | 15421201 |
| e-ISBN | 9781467302692 |
| e-ISBN | 9781467302685 |
| DOI | 10.1109/NOMS.2012.6211953 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-04-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semantics Monitoring Prototypes Real time systems Visualization Knowledge engineering Antennas insert formatting style styling |
| Content Type | Text |
| Resource Type | Article |
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