Disaster mitigation and preparedness using linked open data

Silva, Thushari P.; Wuwongse, Vilas; Sharma, Hitesh Nidhi

doi:10.1007/s12652-012-0128-9

Cited by 26 publications

(20 citation statements)

References 10 publications

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“…Cohn (1997) proposed that the human-computer interaction in GIS should be more concise and accurate than it is currently. Currently, aiming at resolving semantic diversity-generated adverse effects on data management and achieving semantic interoperation among heterogeneous data and spatial semantic description have been used in disaster data management (Fan and Zlatanova, 2011;Li et al, 2007;Zhu et al, 2009;Schulz et al, 2012;Silva et al, 2013). Schulz et al (2012) and Silva et al (2013) established descriptions of data by Linked Open Data (LOD).…”

Section: Related Work On Semantic Technology In Disaster Data Managementmentioning

confidence: 99%

A Task-Oriented Disaster Information Correlation Method

Qiu

Zhu

2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:With the rapid development of sensor networks and Earth observation technology, a large quantity of disaster-related data is available, such as remotely sensed data, historic data, case data, simulated data, and disaster products. However, the efficiency of current data management and service systems has become increasingly difficult due to the task variety and heterogeneous data. For emergency task-oriented applications, the data searches primarily rely on artificial experience based on simple metadata indices, the high time consumption and low accuracy of which cannot satisfy the speed and veracity requirements for disaster products. In this paper, a task-oriented correlation method is proposed for efficient disaster data management and intelligent service with the objectives of 1) putting forward disaster task ontology and data ontology to unify the different semantics of multi-source information, 2) identifying the semantic mapping from emergency tasks to multiple data sources on the basis of uniform description in 1), and 3) linking task-related data automatically and calculating the correlation between each data set and a certain task. The method goes beyond traditional static management of disaster data and establishes a basis for intelligent retrieval and active dissemination of disaster information. The case study presented in this paper illustrates the use of the method on an example flood emergency relief task.

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Section: Related Work On Semantic Technology In Disaster Data Managementmentioning

confidence: 99%

A Task-Oriented Disaster Information Correlation Method

Qiu

Zhu

2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…Cohn (1997) proposed that the humancomputer interaction in GIS should be more concise and accurate than it is currently. Currently, aiming at resolving semantic diversity generating adverse effect on data management and achieving semantic interoperation among heterogeneous data, spatial semantic description has been used in disaster data management (Fan and Zlatanova, 2011;Li et al, 2007;Zhu et al, 2009;Schulz et al, 2012;Silva et al, 2013). Schulz (2012) and Silva (2013) established description of data by Linked Open Data (LOD).…”

Section: Related Work On the Semantic Technology In Disaster Data Manmentioning

confidence: 99%

“…Currently, aiming at resolving semantic diversity generating adverse effect on data management and achieving semantic interoperation among heterogeneous data, spatial semantic description has been used in disaster data management (Fan and Zlatanova, 2011;Li et al, 2007;Zhu et al, 2009;Schulz et al, 2012;Silva et al, 2013). Schulz (2012) and Silva (2013) established description of data by Linked Open Data (LOD). Based on semantic web knowledge, they adopted RDF (Resource Description Framework) to define standard and exchangeable data format for semantic annotation of disaster knowledge.…”

Section: Related Work On the Semantic Technology In Disaster Data Manmentioning

confidence: 99%

A Task-Driven Disaster Data Link Approach

Qiu

Zhu

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:With the rapid development of sensor networks and Earth observation technology, a large quantity of disaster-related data is available, such as remotely sensed data, historic data, cases data, simulation data, disaster products and so on. However, the efficiency of current data management and service systems has become increasingly serious due to the task variety and heterogeneous data. For emergency task-oriented applications, data searching mainly relies on artificial experience based on simple metadata index, whose high time-consuming and low accuracy cannot satisfy the requirements of disaster products on velocity and veracity. In this paper, a task-oriented linking method is proposed for efficient disaster data management and intelligent service, with the objectives of 1) putting forward ontologies of disaster task and data to unify the different semantics of multi-source information, 2) identifying the semantic mapping from emergency tasks to multiple sources on the basis of uniform description in 1), 3) linking task-related data automatically and calculating the degree of correlation between each data and a target task. The method breaks through traditional static management of disaster data and establishes a base for intelligent retrieval and active push of disaster information. The case study presented in this paper illustrates the use of the method with a flood emergency relief task.

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“…Aiming at the problem above, more and more researchers had tended to employ the semantic technology to obtain the solution [3][4][5]. Recently, some semantic technologies had been applied to express knowledge in emergencies [6][7][8], integrate data from different sources [4], and model the formal plan for emergency management [9], but there are few researches on taking the advantage of the reasoning power of semantic web to infer the scenario evolution in emergencies.…”

Section: Introductionmentioning

confidence: 99%

Research of Scenario Inference of Emergency Based on OWL and SWRL

Liu¹,

Chen²,

Chen³

et al. 2014

TOAUTOCJ

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Abstract:Although the scenario analysis has been extensively sudied in the area of emergency managnemt, the heterogeneous data and the lack of semantic meaning always hamper the performance of scenario inference in many emergency response systems. Aiming at this problem, we proposed a scenario inference model and implemented this model with Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL). Furthermore, an algorithm of scenario inference was designed to assist the decision-makers to find the potential hazard scenarios. In order to testify the validity of scenario inference model, we employed some inference rules drawn from the historical emergencies to deduce the east Japan earthquake. The experimental result shows that our method is effective for emergency response system.

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Disaster mitigation and preparedness using linked open data

Cited by 26 publications

References 10 publications

A Task-Oriented Disaster Information Correlation Method

A Task-Oriented Disaster Information Correlation Method

A Task-Driven Disaster Data Link Approach

Research of Scenario Inference of Emergency Based on OWL and SWRL

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