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Towards semantic event processing

Authors:

Kia Teymourian,

Adrian PaschkeAuthors Info & Claims

DEBS '09: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems

Article No.: 29, Pages 1 - 2

https://doi.org/10.1145/1619258.1619296

Published: 06 July 2009 Publication History

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Abstract

The developments and successes of the Semantic Web research community in building standards and tools for semantic technologies such as formalized vocabularies/ontologies and declarative rules are opening novel research and application areas. One of these promising application areas is semantic event processing. Semantic models of events can improve the quality of event processing by using event meta-data in combination with ontologies and rules (knowledge bases).

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Cited By

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de Almeida VBhowmik SLima GEndler MRothermel K(2020)DSCEP: An Infrastructure for Decentralized Semantic Complex Event Processing2020 IEEE International Conference on Big Data (Big Data)10.1109/BigData50022.2020.9377877(391-398)Online publication date: 10-Dec-2020
https://doi.org/10.1109/BigData50022.2020.9377877
Elyusufi ZElyusufi YAitkbir M(2019)Combining CRM Strength and Big Data Tools for Customers Profile AnalysisInnovations in Smart Cities Applications Edition 210.1007/978-3-030-11196-0_20(226-237)Online publication date: 7-Feb-2019
https://doi.org/10.1007/978-3-030-11196-0_20
Elyusufi ZElyusufi YAitkbir M(2018)Customer profiling using CEP architecture in a Big Data contextProceedings of the 3rd International Conference on Smart City Applications10.1145/3286606.3286841(1-6)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.1145/3286606.3286841
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Towards semantic event processing

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Published In

DEBS '09: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems

July 2009

292 pages

ISBN:9781605586656

DOI:10.1145/1619258

Conference Chairs:
Aniruddha Gokhale
Vanderbilt University
,
Douglas C. Schmidt
Vanderbilt University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 06 July 2009

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DEBS '09: The 3rd ACM International Conference on Distributed Event-based Systems

July 6 - 9, 2009

Tennessee, Nashville

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de Almeida VBhowmik SLima GEndler MRothermel K(2020)DSCEP: An Infrastructure for Decentralized Semantic Complex Event Processing2020 IEEE International Conference on Big Data (Big Data)10.1109/BigData50022.2020.9377877(391-398)Online publication date: 10-Dec-2020
https://doi.org/10.1109/BigData50022.2020.9377877
Elyusufi ZElyusufi YAitkbir M(2019)Combining CRM Strength and Big Data Tools for Customers Profile AnalysisInnovations in Smart Cities Applications Edition 210.1007/978-3-030-11196-0_20(226-237)Online publication date: 7-Feb-2019
https://doi.org/10.1007/978-3-030-11196-0_20
Elyusufi ZElyusufi YAitkbir M(2018)Customer profiling using CEP architecture in a Big Data contextProceedings of the 3rd International Conference on Smart City Applications10.1145/3286606.3286841(1-6)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.1145/3286606.3286841
Calvier FKammoun AZimmermann ASingh KFayolle J(2016)Ontology Driven Complex Event Pattern Definition (Short Paper)On the Move to Meaningful Internet Systems: OTM 2016 Conferences10.1007/978-3-319-48472-3_31(522-530)Online publication date: 18-Oct-2016
https://doi.org/10.1007/978-3-319-48472-3_31
Teymourian KPaschke A(2015)Semantic Enrichment of Event Stream for Semantic Situation AwarenessSemantic Web10.1007/978-3-319-16658-2_10(185-212)Online publication date: 28-Aug-2015
https://doi.org/10.1007/978-3-319-16658-2_10
Teymourian KRohde MPaschke ABry FPaschke AEugster PFetzer CBehrend A(2012)Fusion of background knowledge and streams of eventsProceedings of the 6th ACM International Conference on Distributed Event-Based Systems10.1145/2335484.2335517(302-313)Online publication date: 16-Jul-2012
https://dl.acm.org/doi/10.1145/2335484.2335517
Llaves AMichels HMaué PRoth MBurdescu DAkerkar RBădică C(2012)Semantic event processing in ENVISIONProceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics10.1145/2254129.2254161(1-9)Online publication date: 13-Jun-2012
https://dl.acm.org/doi/10.1145/2254129.2254161
Teymourian KRohde MPaschke A(2012)Knowledge-based processing of complex stock market eventsProceedings of the 15th International Conference on Extending Database Technology10.1145/2247596.2247674(594-597)Online publication date: 27-Mar-2012
https://dl.acm.org/doi/10.1145/2247596.2247674
Abdullah HRinne MTörmä SNuutila EOssowski SLecca P(2012)Efficient matching of SPARQL subscriptions using reteProceedings of the 27th Annual ACM Symposium on Applied Computing10.1145/2245276.2245348(372-377)Online publication date: 26-Mar-2012
https://dl.acm.org/doi/10.1145/2245276.2245348
Paschke A(2011)A semantic rule and event driven approach for agile decision-centric business process managementProceedings of the 4th European conference on Towards a service-based internet10.5555/2050869.2050897(254-267)Online publication date: 26-Oct-2011
https://dl.acm.org/doi/10.5555/2050869.2050897
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Semantic Technologies for Semantic Applications. Part 2. Models of Comparative Text Semantics

Modular Upper-Level Ontologies for Semantic Complex Event Processing

Towards unified and native enrichment in event processing systems

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Semantic Technologies for Semantic Applications. Part 2. Models of Comparative Text Semantics

Modular Upper-Level Ontologies for Semantic Complex Event Processing

Towards unified and native enrichment in event processing systems

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