Title
An ontology-driven approach to support wireless network monitoring for home area networks
Abstract
Supporting ordinary home users to diagnose and resolve potential problems in their home wireless networks presents a significant opportunity to reduce support costs and increase user satisfaction. However the raw data necessary to identify even simple issues, such as a device being out of wireless range, require specific expertise to interpret. This paper introduces an approach for expert-derived semantic annotation of this raw data in order to allow end users to understand and resolve common network-related problems in real time. This approach demonstrates how semantic web technologies and visualization may be combined to satisfy high-level network monitoring requirements. This semantic approach, with causal reasoning, coupled with semantically-derived visualizations was implemented in a prototype home network monitoring system (HANMS). This paper describes the design decisions, implementation details and evaluation approach of HANMS.
Year
Venue
Keywords
2011
CNSM
wireless network monitoring,high-level network monitoring requirement,ordinary home user,home wireless network,evaluation approach,semantic approach,home area network,prototype home network monitoring,ontology-driven approach,wireless range,expert-derived semantic annotation,raw data,semantic web technology,semantic web,wireless network,data visualisation,visualization,data visualization,satisfiability,causal reasoning,semantics,real time,wireless communication,antennas,ontology,network monitoring,ontologies
Field
DocType
ISSN
Ontology (information science),Wireless network,World Wide Web,Data visualization,End user,Computer science,Semantic Web,Raw data,Human–computer interaction,Network monitoring,Semantics,Distributed computing
Conference
2165-9605
ISBN
Citations 
PageRank 
978-1-4577-1588-4
4
0.44
References 
Authors
9
5
Name
Order
Citations
PageRank
Yuqian Song1133.04
John Keeney229332.27
Owen Conlan344763.88
Philip Perry435329.95
Adriana Hava5283.95