Ontology Development for Industrial Risk Analysis

Assali, Amjad Abou; Lenné, Dominique; Debray, Bruno

doi:10.1109/ictta.2008.4530312

Cited by 14 publications

(4 citation statements)

References 4 publications

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“…In a very similar previous work by Denker et al [16,17,18], the proposed ontology fails to consider vulnerabilities, assets and threats; but a reasoning engine matches between the request requirements and the capabilities of a potential web service. The risk based security ontologies of Fenz et al [3] and Lenne et al [21] could be useful for a risk based requirement analysis. However, to the best of our knowledge, there are no propositions combining both sides.…”

Section: Discussion and Evaluationmentioning

confidence: 99%

“…Fenz et al [3] proposed a security ontology framework based on four parts (the security and dependability taxonomy from [10], the underlying risk analysis methodology, the concepts of the IT infrastructure domain, and a simulation enabling enterprises to analyze various policy scenarios). Lenne et al [21] proposed to develop a knowledge base containing ontologies for the analysis of industrial risks describing concepts used for the achievement of a risk analysis.…”

Section: Fig 1 Classification Of Security Ontologies Into 8 Familiesmentioning

confidence: 99%

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Ontologies for Security Requirements: A Literature Survey and Classification

Souag

Salinesi

Comyn-Wattiau

2012

Lecture Notes in Business Information Processing

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Abstract. Despite existing methodologies in the field, most requirements engineers are poorly trained to define security requirements. This is due to a considerable lack of security knowledge. Some security ontologies have been proposed, but a gap still exists between the two fields of security requirement engineering and ontologies. This paper is a survey, it proposes an analysis and a typology of existing security ontologies and their use for requirements definition.

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Section: Discussion and Evaluationmentioning

confidence: 99%

Section: Fig 1 Classification Of Security Ontologies Into 8 Familiesmentioning

confidence: 99%

Ontologies for Security Requirements: A Literature Survey and Classification

Souag

Salinesi

Comyn-Wattiau

2012

Lecture Notes in Business Information Processing

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“…The same scenario is followed by Maalel et al [70] to develop an ontological CBR system for railroad accidents application. Their methodology depended on [71,72] ontology development methodologies.…”

Section: B Ontologies As Case Base and Domain Vocabularymentioning

confidence: 99%

Case Based Reasoning: Case Representation Methodologies

El–Sappagh¹,

Elmogy²

2015

ijacsa

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Abstract-Case Based Reasoning (CBR) is an important technique in artificial intelligence, which has been applied to various kinds of problems in a wide range of domains. Selecting case representation formalism is critical for the proper operation of the overall CBR system. In this paper, we survey and evaluate all of the existing case representation methodologies. Moreover, the case retrieval and future challenges for effective CBR are explained. Case representation methods are grouped in to knowledge-intensive approaches and traditional approaches. The first group overweight the second one. The first methods depend on ontology and enhance all CBR processes including case representation, retrieval, storage, and adaptation. By using a proposed set of qualitative metrics, the existing methods based on ontology for case representation are studied and evaluated in details. All these systems have limitations. No approach exceeds 53% of the specified metrics. The results of the survey explain the current limitations of CBR systems. It shows that ontology usage in case representation needs improvements to achieve semantic representation and semantic retrieval in CBR system.

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“…The sentence punctuation follows the bracket [2]. Refer simply to the reference number, as in [3]-do not use "Ref. [3]" or "reference [3]" except at the beginning of a sentence: "Reference [3] was the first .…”

Section: Referencesmentioning

confidence: 99%

CBR in the service of accident cases evaluating

Mejri¹,

Madi²,

Ghézala³

2013

IJARAI

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Abstract-This paper introduces a research aiming at the development of a decision support system concerning the approval of automated railway transportation systems. The objective is to implement a valuation method for the degree of compliance of the automated transportation system in-group of safety standards by the analysis of the scenarios of accident. To reach this target, we envisaged an approach Rex (Return of experience) who draws the lessons of accidents / incidents lived and/or imagined by the experts of the analysis of security in the IFSTAAR. Our approach consists in offering a decision support in the side of the experts of the certification based on a reuse of the scenarios of accidents already validated historically on other approved transportation systems. This approach Rex is very useful since it provides to the experts a class of scenarios of accidents similar to the new case treated and getting closer to the context of new case. The Case-based reasoning is then exploited as a mode of reasoning by analogy allowing to choose and to recollect one under group of historical cases that can help in the resolution of the new case introduced by the experts. ProcessOriented Case-Based Reasoning (PO-CBR) is a growing application area in which CBR is used to address problems involving process data in a variety of specialized domains. PO-CBR systems often use structured cases. Our approach is characterized by a two-phased retrieval strategy. A first phase consists in retrieving a set of cases to be considered (a class of cases most similar to a problem to resolve). In a second phase, a more fine grained strategy is then applied to the pool of candidate cases already selected by the mean of similarity measures. This approach can enhance the process of retrieving cases compared to an exhaustive case-by-case comparison.

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Ontology Development for Industrial Risk Analysis

Cited by 14 publications

References 4 publications

Ontologies for Security Requirements: A Literature Survey and Classification

Ontologies for Security Requirements: A Literature Survey and Classification

Case Based Reasoning: Case Representation Methodologies

CBR in the service of accident cases evaluating

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