Complex event processing (CEP) deals with detecting real-time situations,
represented as event patterns, from among an event cloud. The state-of-the-art
CEP systems process events as plain data tuples and are limited to
detect precisely defined patterns. Emerging application areas like
optimization in smart power grids require CEP to incorporate semantic
knowledge of the domain for easier pattern specification, and detect
inexact patterns in the presence of uncertainties. In this paper,
we present motivating use cases, discuss limitations of existing
CEP systems and describe our work towards an Inexact Semantic Complex
Event Processing (InSCEP) framework.
%0 Conference Paper
%1 Zhou:debs:2011
%A Zhou, Qunzhi
%A Simmhan, Yogesh
%A Prasanna, Viktor K.
%B International Conference on Distributed Event-Based System (DEBS)
%D 2011
%I ACM
%K cep, grid. peer poster reviewed, semantic, smart usc,
%P 401-402
%R 10.1145/2002259.2002331
%T Towards an inexact semantic complex event processing framework
%U http://ceng.usc.edu/~simmhan/pubs/zhou-debs-2011.pdf
%X Complex event processing (CEP) deals with detecting real-time situations,
represented as event patterns, from among an event cloud. The state-of-the-art
CEP systems process events as plain data tuples and are limited to
detect precisely defined patterns. Emerging application areas like
optimization in smart power grids require CEP to incorporate semantic
knowledge of the domain for easier pattern specification, and detect
inexact patterns in the presence of uncertainties. In this paper,
we present motivating use cases, discuss limitations of existing
CEP systems and describe our work towards an Inexact Semantic Complex
Event Processing (InSCEP) framework.
@inproceedings{Zhou:debs:2011,
abstract = {Complex event processing (CEP) deals with detecting real-time situations,
represented as event patterns, from among an event cloud. The state-of-the-art
CEP systems process events as plain data tuples and are limited to
detect precisely defined patterns. Emerging application areas like
optimization in smart power grids require CEP to incorporate semantic
knowledge of the domain for easier pattern specification, and detect
inexact patterns in the presence of uncertainties. In this paper,
we present motivating use cases, discuss limitations of existing
CEP systems and describe our work towards an Inexact Semantic Complex
Event Processing (InSCEP) framework.},
added-at = {2014-08-13T04:08:36.000+0200},
author = {Zhou, Qunzhi and Simmhan, Yogesh and Prasanna, Viktor K.},
biburl = {https://www.bibsonomy.org/bibtex/2e959d55a03a48649f247babed314bc18/simmhan},
booktitle = {International Conference on Distributed Event-Based System (DEBS)},
doi = {10.1145/2002259.2002331},
interhash = {53fc997c2be03d1d9d5719c6016feeb8},
intrahash = {e959d55a03a48649f247babed314bc18},
keywords = {cep, grid. peer poster reviewed, semantic, smart usc,},
month = {July},
note = {Poster},
owner = {Simmhan},
pages = {401-402},
publisher = {ACM},
timestamp = {2014-08-13T04:08:36.000+0200},
title = {Towards an inexact semantic complex event processing framework},
url = {http://ceng.usc.edu/~simmhan/pubs/zhou-debs-2011.pdf},
year = 2011
}