VuWiki: An Ontology-Based Semantic Wiki for Vulnerability Assessments

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

International Journal of Disaster Risk Science ›› 2014, Vol. 5 ›› Issue (1) : 55 -73.

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International Journal of Disaster Risk Science ›› 2014, Vol. 5 ›› Issue (1) : 55 -73. DOI: 10.1007/s13753-014-0010-9
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VuWiki: An Ontology-Based Semantic Wiki for Vulnerability Assessments

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Abstract

Three decades of vulnerability research have generated a complex and growing body of knowledge. The concept of vulnerability, as well as its implementation in vulnerability assessments, is used in various disciplines and contexts. Correspondingly, a multitude of ideas and frameworks about how to conceptualize and measure vulnerability exists. To provide a structured representation of vulnerability, we have set up an ontology-based semantic wiki for reviewing and representing vulnerability assessments (www.vuwiki.org). Based on a survey of 55 vulnerability assessment studies, we first developed an ontology as an explicit reference system for describing vulnerability assessments. The ontology was then implemented in a semantic wiki which allows for the classification and annotation of vulnerability assessment. The resulting semantic wiki, VuWiki, does not aim at “synthesizing” a holistic and overarching model of vulnerability, but at (1) providing—both scientists and practitioners—with a uniform ontology as a reference system; (2) providing easy and structured access to the knowledge field of vulnerability assessments with the possibility for any user to retrieve assessments using specific research criteria; and (3) serving as a collaborative knowledge platform that allows for the active participation of those generating and using the knowledge represented in the vulnerability wiki.

Keywords

Knowledge representation / Ontology / Semantic wiki / Vulnerability assessment

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Bijan Khazai, Tina Kunz-Plapp, Christian Büscher, Antje Wegner. VuWiki: An Ontology-Based Semantic Wiki for Vulnerability Assessments. International Journal of Disaster Risk Science, 2014, 5(1): 55-73 DOI:10.1007/s13753-014-0010-9

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