2011
DOI: 10.1007/978-3-642-21064-8_13
|View full text |Cite
|
Sign up to set email alerts
|

SoKNOS – Using Semantic Technologies in Disaster Management Software

Abstract: 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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
24
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 40 publications
(30 citation statements)
references
References 11 publications
0
24
0
Order By: Relevance
“…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%
“…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%
“…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%
“…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. Although Li et al had used SWRL [10] to analyze the emergency evolution, and the event chain model proposed by them cannot effectively describe the intricate relationships between scenarios in emergencies [11].…”
Section: Introductionmentioning
confidence: 99%
“…The use of ontologies and the Semantic Web (Berners- Lee et al, 2001) is seen as a part of the solution to overcome limitations of the current search mechanisms. In the area of natural disasters, ontology-based solutions have been proposed to provide seamless integration of heterogeneous data agencies (Silva and Madurapperuma, 2007;Murgante et al, 2009) and efficient information retrieval (Babitski et al, 2011). There has not been much work, however, on the improvement of the information retrieval mechanisms from a user's perspective.…”
Section: Introductionmentioning
confidence: 99%
“…However, information retrieval is still based on keywords, and ontology visualization is only used as assistant tool for the query formulation. In Babitski et al (2011), ontology-based visualization is accomplished through a Semantic Data Explorer (Paulheim and Meyer, 2011). Nevertheless, the proposed system is not a geo-portal environment but rather an integrated emergency management system for connecting existing systems and databases.…”
Section: Introductionmentioning
confidence: 99%