Recent development in sensor networks and mobile computing is gaining increasing interest from enterprises. Sensor data services can provide fine-grained information of the physical world and feed the event processing systems where high level business logic is evaluated and coarse-grained business events are derived. However current event processing systems are not user-oriented and take considerable effort to configure and implement mainly because of the granularity mismatch. In this paper, we present a intuitive way to model the complex event patterns based on semantic descriptions of sensor service capabilities. Then, we transform the event patterns into stream queries to facilitate an automatic implementation for the event processing system.
%0 Journal Article
%1 GaoBhiriZhou12comc
%A Gao, Feng
%A Bhiri, Sami
%A Zhou, Zhangbing
%D 2012
%J Communications in Mobile Computing
%K v1205 springer paper embedded ai mobile application sensor knowledge processing action recognition analysis business semantic information management rules zzz.cps zzz.sfit
%N 1
%P 7:1-7:7
%R 10.1186/2192-1121-1-7
%T User-centric Modeling and Processing for Ubiquitous Events Using Semantic Capability Models
%V 1
%X Recent development in sensor networks and mobile computing is gaining increasing interest from enterprises. Sensor data services can provide fine-grained information of the physical world and feed the event processing systems where high level business logic is evaluated and coarse-grained business events are derived. However current event processing systems are not user-oriented and take considerable effort to configure and implement mainly because of the granularity mismatch. In this paper, we present a intuitive way to model the complex event patterns based on semantic descriptions of sensor service capabilities. Then, we transform the event patterns into stream queries to facilitate an automatic implementation for the event processing system.
@article{GaoBhiriZhou12comc,
abstract = {Recent development in sensor networks and mobile computing is gaining increasing interest from enterprises. Sensor data services can provide fine-grained information of the physical world and feed the event processing systems where high level business logic is evaluated and coarse-grained business events are derived. However current event processing systems are not user-oriented and take considerable effort to configure and implement mainly because of the granularity mismatch. In this paper, we present a intuitive way to model the complex event patterns based on semantic descriptions of sensor service capabilities. Then, we transform the event patterns into stream queries to facilitate an automatic implementation for the event processing system.},
added-at = {2012-11-30T16:09:42.000+0100},
author = {Gao, Feng and Bhiri, Sami and Zhou, Zhangbing},
biburl = {https://www.bibsonomy.org/bibtex/21bcf5df64c07b0c4a733ca2ddb0edaca/flint63},
doi = {10.1186/2192-1121-1-7},
file = {Springer Open Access:2012/GaoBhiriZhou12comc.pdf:PDF},
groups = {public},
interhash = {69c65ce78c2633216eaad7c2c21828f8},
intrahash = {1bcf5df64c07b0c4a733ca2ddb0edaca},
issn = {2192-1121},
journal = {Communications in Mobile Computing},
keywords = {v1205 springer paper embedded ai mobile application sensor knowledge processing action recognition analysis business semantic information management rules zzz.cps zzz.sfit},
month = {#oct#},
number = 1,
pages = {7:1-7:7},
timestamp = {2018-04-16T12:25:17.000+0200},
title = {User-centric Modeling and Processing for Ubiquitous Events Using Semantic Capability Models},
username = {flint63},
volume = 1,
year = 2012
}