2024-03-29T12:08:43Zhttps://research-repository.st-andrews.ac.uk/oai/requestoai:research-repository.st-andrews.ac.uk:10023/35002019-04-01T12:43:33Zcom_10023_3730com_10023_381col_10023_3731
A top-level ontology for smart environments
Ye, Juan
Stevenson, Graeme
Dobson, Simon
University of St Andrews. School of Computer Science
QA76 Computer software
Recognising human activities is a problem characteristic of a wider class of systems in which algorithms interpret multi-modal sensor data to extract semantically meaningful classifications. Machine learning techniques have demonstrated progress, but the lack of underlying formal semantics impedes the potential for sharing and re-using classifications across systems. We present a top-level ontology model that facilitates the capture of domain knowledge. This model serves as a conceptual backbone when designing ontologies, linking the meaning implicit in elementary information to higher-level information that is of interest to applications. In this way it provides the common semantics for information at different levels of granularity that supports the communication, re-use and sharing of ontologies between systems.
2013-04-26T15:50:32Z
2013-04-26T15:50:32Z
2013-04-26T15:50:32Z
2011-06
Journal article
Ye, J, Stevenson, GT & Dobson, SA 2011, 'A top-level ontology for smart environments' Pervasive and Mobile Computing, vol 7, no. 3, pp. 359-378.
1574-1192
http://dx.doi.org/10.1016/j.pmcj.2011.02.002
http://hdl.handle.net/10023/3500
en
Pervasive and Mobile Computing
info:eu-repo/grantAgreement/EC/FP7/256873
This is the author's version of this article. Published version copyright © 2011 Elsevier B.V is available from www.sciencedirect.com
info:eu-repo/semantics/openAccess
Elsevier