Developing situation-aware applications for disaster management with a distributed rule-based platform

João Moreira; Joao Moreira; Luis Ferreira Pires; Marten J. van Sinderen; P. Dockhorn Costa

Developing situation-aware applications for disaster management with a distributed rule-based platform

João Moreira
, Joao Moreira
, Luis Ferreira Pires
, Marten J. van Sinderen
, P. Dockhorn Costa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

179 Downloads (Pure)

Abstract

In order to enhance interoperability and productivity in the develop-ment of situation-aware applications for disaster management, proper mecha-nisms and guidelines are required. They must address the lack of semantics in modelling emergency situations. In addition, the ever changing and unpredicta-ble nature of disaster scenarios present challenges for information processing and collaboration. This paper proposes a framework that combines the follow-ing elements: (i) a foundational ontology for temporal conceptualization; (ii) well-founded specifications of structural and behavioral models; (iii) a CEP en-gine based on a distributed rule-based platform for situation management; (iv) a model-driven approach. We illustrate the operation of the framework with a scenario for monitoring tuberculosis epidemy.

Original language	Undefined
Title of host publication	Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium
Place of Publication	Aachen
Publisher	CEUR
Pages	-
Number of pages	6
Publication status	Published - 2015
Event	RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium, Berlin: Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium - Aachen Duration: 1 Jan 2015 → …

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS.org
Volume	1417
ISSN (Print)	1613-0073

Conference

Conference	RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium, Berlin
City	Aachen
Period	1/01/15 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

SCS-Services
EWI-26313
Disaster Management
METIS-312726
Situation-aware application
IR-97411
Context-aware application
Rule-based platform

Access to Document

http://ceur-ws.org/Vol-1417/paper15.pdf

Cite this

Moreira, J., Moreira, J., Ferreira Pires, L., van Sinderen, M. J., & Dockhorn Costa, P. (2015). Developing situation-aware applications for disaster management with a distributed rule-based platform. In Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium (pp. -). (CEUR Workshop Proceedings; Vol. 1417). CEUR. http://ceur-ws.org/Vol-1417/paper15.pdf

Moreira, João ; Moreira, Joao ; Ferreira Pires, Luis et al. / Developing situation-aware applications for disaster management with a distributed rule-based platform. Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium. Aachen : CEUR, 2015. pp. - (CEUR Workshop Proceedings).

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title = "Developing situation-aware applications for disaster management with a distributed rule-based platform",

abstract = "In order to enhance interoperability and productivity in the develop-ment of situation-aware applications for disaster management, proper mecha-nisms and guidelines are required. They must address the lack of semantics in modelling emergency situations. In addition, the ever changing and unpredicta-ble nature of disaster scenarios present challenges for information processing and collaboration. This paper proposes a framework that combines the follow-ing elements: (i) a foundational ontology for temporal conceptualization; (ii) well-founded specifications of structural and behavioral models; (iii) a CEP en-gine based on a distributed rule-based platform for situation management; (iv) a model-driven approach. We illustrate the operation of the framework with a scenario for monitoring tuberculosis epidemy.",

keywords = "SCS-Services, EWI-26313, Disaster Management, METIS-312726, Situation-aware application, IR-97411, Context-aware application, Rule-based platform",

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Moreira, J, Moreira, J, Ferreira Pires, L , van Sinderen, MJ & Dockhorn Costa, P 2015, Developing situation-aware applications for disaster management with a distributed rule-based platform. in Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium. CEUR Workshop Proceedings, vol. 1417, CEUR, Aachen, pp. -, RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium, Berlin, Aachen, 1/01/15. <http://ceur-ws.org/Vol-1417/paper15.pdf>

Developing situation-aware applications for disaster management with a distributed rule-based platform. / Moreira, João; Moreira, Joao; Ferreira Pires, Luis et al.
Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium. Aachen: CEUR, 2015. p. - (CEUR Workshop Proceedings; Vol. 1417).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - In order to enhance interoperability and productivity in the develop-ment of situation-aware applications for disaster management, proper mecha-nisms and guidelines are required. They must address the lack of semantics in modelling emergency situations. In addition, the ever changing and unpredicta-ble nature of disaster scenarios present challenges for information processing and collaboration. This paper proposes a framework that combines the follow-ing elements: (i) a foundational ontology for temporal conceptualization; (ii) well-founded specifications of structural and behavioral models; (iii) a CEP en-gine based on a distributed rule-based platform for situation management; (iv) a model-driven approach. We illustrate the operation of the framework with a scenario for monitoring tuberculosis epidemy.

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Moreira J, Moreira J, Ferreira Pires L , van Sinderen MJ, Dockhorn Costa P. Developing situation-aware applications for disaster management with a distributed rule-based platform. In Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium. Aachen: CEUR. 2015. p. -. (CEUR Workshop Proceedings).