VuWiki: An Ontology-Based Semantic Wiki for Vulnerability Assessments

Khazai, Bijan; Kunz-Plapp, Tina; Büscher, Christian; Wegner, Antje

doi:10.1007/s13753-014-0010-9

Cited by 32 publications

(24 citation statements)

References 58 publications

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“…Moreover, there can be cascading interaction between vulnerability drivers with different spatial and/or temporal scopes (Khazai et al 2014). In case of hybrid events where there is more than one vulnerability driver or there is a set of interconnected risks facing food systems, there may be interdependency between, for example, poor governance and climate change impact.…”

Section: Interdependencies and Interconnectivity In The Food Systemmentioning

confidence: 99%

“…Overall, in vulnerability research, it is important to address different factors of vulnerability and their interplay, such as linkages between exposure, coping capacity and adaptive capacity (Smit and Wandel, 2016;Birkmann, 2013, 26). Khazai et al (2014) use the term "driver" as an abstract term to answer the basic question:…”

Section: Coping Capacity and Adaptive Capacitymentioning

confidence: 99%

“…For example, Misselhorn et al (2010, 6 p. 88) make a distinction between drivers that act quickly and those that act more steadily over a longer period of time. Moreover, Khazai et al (2014) make a distinction between "natural" and "social" drivers, where natural drivers refer to geophysical, hydrometeorological (such as climate change) and biological/ecological drivers, whereas social drivers refer to anthropogenic impacts, social inequality, governance and war or conflict (Khazai et al, 2014).…”

Section: Vulnerability Driversmentioning

confidence: 99%

“…Dealing with unexpected changes calls for understanding on natural and social vulnerability drivers but also on vulnerable (natural, social or technical) systems (Khazai et al, 2014;Paloviita et al, 2016). An "outside-in" look can reveal a new array of opportunities and threats (Porter and Reinhardt, 2007), but the actual exploitation of an opportunity requires adaptive capacity.…”

Section: Introductionmentioning

confidence: 99%

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Insights into food system exposure, coping capacity and adaptive capacity

Paloviita

Kortetmäki

Puupponen

et al. 2017

BFJ

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Purpose The purpose of this paper is to consider the concepts of exposure, coping capacity and adaptive capacity as a multiple structure of vulnerability in order to distinguish and interpret short-term coping responses and long-term strategic responses to food system vulnerability. Design/methodology/approach This paper applies an abductive approach for qualitative analysis of data, which were collected through 18 semi-structured interviews among Finnish food system actors. Findings The findings suggest that coping capacity and adaptive capacity are indeed two different concepts, which both need to be addressed in the examination of food system vulnerability. Public and private food system governance and related decision-making processes seem to focus on building short-term coping capacity rather than strategic adaptive capacity. In fact, conservative and protective policies can be counterproductive in terms of building genuine adaptive capacity in the food system, highlighting institutional and policy failures as limiting adaptive capacity and affecting future vulnerability. Originality/value This paper is the first to provide evidence on the multiple structure of food system vulnerability. It simultaneously considers the external aspect (vulnerability drivers) and internal factors, including short term coping capacity and more strategic adaptive capacity, as key determinants of vulnerability.

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Section: Interdependencies and Interconnectivity In The Food Systemmentioning

confidence: 99%

Section: Coping Capacity and Adaptive Capacitymentioning

confidence: 99%

Section: Vulnerability Driversmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Insights into food system exposure, coping capacity and adaptive capacity

Paloviita

Kortetmäki

Puupponen

et al. 2017

BFJ

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“…Domain-specific ontologies may be latched onto these top level ontologies, but usually are used as stand-alone products. There is less research on ontologies and SESs, but see Khazai et al (2014) and Kumazawa et al (2014).…”

Section: Ontologies and Diagnosticsmentioning

confidence: 99%

Building a diagnostic ontology of social-ecological systems

Frey

Cox

2015

Int J Commons

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This article argues that research on social-ecological systems could profit from the use of ontologies. Ontologies, i.e. formalized conceptualisations of a domain in a computer-readable format, allow making progress in different areas. In particular, a diagnostic approach would be facilitated, in turn addressing the complexity problem (analysing the complexity of social-ecological systems adequately), the panacea problem (the overreliance on simplistic policy prescriptions that do not account for this complexity) and the scatter problem (lack of integration of many research findings into a cohesive set of theoretical statements). Ontologies offer several advantages, e.g. they structure and formalize domains, unify knowledge, decrease terminological confusion, reduce incomparability, reduce redundancy of efforts and allow automated reasoning. We demonstrate the practical use of ontologies by converting the SES framework into an ontology. This leads to several suggestions on how to improve the framework.

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