Ontology-Based Integration of Sensor Web Services in Disaster Management

Babitski, Grigori; Bergweiler, Simon; Hoffmann, Jörg; Schön, Daniel; Stasch, Christoph; Walkowski, Alexander C.

doi:10.1007/978-3-642-10436-7_7

Cited by 30 publications

(23 citation statements)

References 13 publications

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“…A review of situational awareness ontologies is provided in [48], and proposals to formalize the basic components of situation awareness in an ontology can also be found in [49,50]. Further ontological approaches to disaster management can be found in [51,52,53,54,55,56,57,58,59,60,61,62]. Liu, Brewster and Shaw [63] offer a comprehensive review of 26 ontologies.…”

Section: Ontologiesmentioning

confidence: 99%

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods

Poblet

García-Cuesta²,

Casanovas

2014

Lecture Notes in Computer Science

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recent advances on information technologies and communications, coupled with the advent of the social media applications have fuelled a new landscape of emergency and disaster response systems by enabling affected citizens to generate georeferenced real time information on critical events. The identification and analysis of such events is not straightforward and the application of crowdsourcing methods or automatic tools is needed for that purpose. Whereas crowdsourcing makes emphasis on the resources of people to produce, aggregate, or filter original data, automatic tools make use of information retrieval techniques to analyze publicly available information. This paper reviews a set of online tools and platforms implemented in recent years which are currently being applied in the area of emergency management and proposes a taxonomy for its categorization.

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Section: Ontologiesmentioning

confidence: 99%

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods

Poblet

García-Cuesta²,

Casanovas

2014

Lecture Notes in Computer Science

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“…Various ontologies have been developed to classify geographic events, e.g., (Tripathi 2005, Babitski et al 2009, Brodaric and Probst 2009, Raskin et al 2004. Some of these specifications are designed for specific application domains, and only represent events for their applications.…”

Section: Motivationmentioning

confidence: 99%

A formal model to infer geographic events from sensor observations

Devaraju

Kuhn²,

Renschler³

2014

International Journal of Geographical Information Science

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The Sensor Web provides wider access to sensors and their observations via the Web. A key challenge is to infer information about geographic events from these observations. A systematic approach to the representation of domain knowledge is vital when reasoning about events due to heterogeneous observational sources. This paper delivers a formal model capturing the relations between observations and events. The model is exploited with a rule-based mechanism to infer information about events from in-situ observations. The paper also describes how the model's vocabularies are used to formulate spatiotemporal queries. A use case for reasoning about blizzard events based on real time series illustrates the formal model.

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“…To get sensor data, the end users finally specify the area of interest by marking this area on a map, provided by a separate module in the SoKNOS System, and by specifying the desired time interval. Details of the implementation can be found in [10].…”

Section: Use Case 4: Improved Discovery Of External Sensor Observatiomentioning

confidence: 99%

SoKNOS – Using Semantic Technologies in Disaster Management Software

Babitski

Bergweiler

Grebner

et al. 2011

The Semanic Web: Research and Applications

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Abstract. Disaster management software deals with supporting staff in large catastrophic incidents such as earthquakes or floods, e.g., by providing relevant information, facilitating task and resource planning, and managing communication with all involved parties. In this paper, we introduce the SoKNOS support system, which is a functional prototype for such software using semantic technologies for various purposes. Ontologies are used for creating a mutual understanding between developers and end users from different organizations. Information sources and services are annotated with ontologies for improving the provision of the right information at the right time, for connecting existing systems and databases to the SoKNOS system, and for providing an ontology-based visualization. Furthermore, the users' actions are constantly supervised, and errors are avoided by employing ontology-based consistency checking. We show how the pervasive and holistic use of semantic technologies leads to a significant improvement of both the development and the usability of disaster management software, and present some key lessons learned from employing semantic technologies in a large-scale software project.

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Ontology-Based Integration of Sensor Web Services in Disaster Management

Cited by 30 publications

References 13 publications

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods

Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods

A formal model to infer geographic events from sensor observations

SoKNOS – Using Semantic Technologies in Disaster Management Software

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