The Experts below are selected from a list of 22716 Experts worldwide ranked by ideXlab platform
Riichiro Mizoguchi - One of the best experts on this subject based on the ideXlab platform.
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an Ontological Modeling approach for abnormal states and its application in the medical domain
Journal of Biomedical Semantics, 2014Co-Authors: Yuki Yamagata, Kouji Kozaki, Takeshi Imai, Kazuhiko Ohe, Riichiro MizoguchiAbstract:Recently, exchanging data and information has become a significant challenge in medicine. Such data include abnormal states. Establishing a unified representation framework of abnormal states can be a difficult task because of the diverse and heterogeneous nature of these states. Furthermore, in the definition of diseases found in several textbooks or dictionaries, abnormal states are not directly associated with the corresponding quantitative values of clinical test data, making the processing of such data by computers difficult. We focused on abnormal states in the definition of diseases and proposed a unified form to describe an abnormal state as a “property,” which can be decomposed into an “attribute” and a “value” in a qualitative representation. We have developed a three-layer Ontological Model of abnormal states from the generic to disease-specific level. By developing an is-a hierarchy and combining causal chains of diseases, 21,000 abnormal states from 6000 diseases have been captured as generic causal relations and commonalities have been found among diseases across 13 medical departments. Our results showed that our representation framework promotes interoperability and flexibility of the quantitative raw data, qualitative information, and generic/conceptual knowledge of abnormal states. In addition, the results showed that our Ontological Model have found commonalities in abnormal states among diseases across 13 medical departments.
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an Ontological Model of device function industrial deployment and lessons learned
Applied Ontology, 2006Co-Authors: Yoshinobu Kitamura, Yusuke Koji, Riichiro MizoguchiAbstract:Functionality is one of the key concepts of knowledge about artifacts. Functional knowledge shows a part of designer's intention (so-called design rationale), and thus its sharing among engineers plays a crucial role in team-activities in engineering practice. Aiming at promoting engineering knowledge management, we have developed an Ontological Modeling framework of functional knowledge, which includes an ontology of device and function and a controlled vocabulary. This framework has been successfully deployed in a manufacturing company in daily engineering activities. In the first part of this paper, we discuss some Ontological issues concerning the functionality of artifacts, and redefine the notion of function as a role. In the second part, we discuss some lessons learned in the actual deployment of this framework and two extensions based on such experience. One extension is a lexical layer for functional terms intended to help engineers select appropriate functional concepts and to facilitate the use of domain-specific terms familiar to them. The other extension is the establishment of Ontological Modeling guidelines, which help engineers commit to the relevant ontologies and describe Models compliant with them.
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An Ontological Model of Device Function and Its Deployment for Engineering Knowledge Sharing
2005Co-Authors: Yoshinobu Kitamura, Yusuke Koji, Riichiro MizoguchiAbstract:This research aims at promoting sharing of knowledge about functionality of engineering artifacts among engineers. Such functional knowledge shows an important part of designer's intention, so-called design rationale. Sharing design rationale plays a crucial role in team-activities in engineering practice such as designing, trouble-shooting, and maintenance. Nevertheless, in the current practice in industry, engineers have suffered from the difficulty of reusing technical documents of such functional knowledge, since the documents tend to be written in ad hoc manner using each engineer's vocabulary and are specific to products or domains. For resolving these difficulties, we have developed an Ontological framework of functional knowledge, which includes an ontology of device and function as conceptual viewpoint and a functional concept ontology as a controlled vocabulary. These ontologies play a role as guidelines or constraints to avoid ad hoc Modeling. This framework was successfully deployed in a manufacturing company in Japan in daily activities such as design review, equipment improvement and patent application. This paper firstly discusses some Ontological issues of functionality of artifacts. Secondly, we show a definition of the concept of function as role and operational definitions of generic functions. Thirdly, we summarize the authors' experiences of the deployment, and discuss the success factors, difficulties, and their solutions including future work. Lastly, in order to place our definition of function in the related concepts in the literature, other types of function are discussed.
Hein S. Venter - One of the best experts on this subject based on the ideXlab platform.
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social engineering attack framework
Information Security for South Africa, 2014Co-Authors: Francois Mouton, Mercia M. Malan, Louise Leenen, Hein S. VenterAbstract:The field of information security is a fast growing discipline. Even though the effectiveness of security measures to protect sensitive information is increasing, people remain susceptible to manipulation and the human element is thus a weak link. A social engineering attack targets this weakness by using various manipulation techniques in order to elicit sensitive information. The field of social engineering is still in its infancy stages with regards to formal definitions and attack frameworks. This paper proposes a social engineering attack framework based on Kevin Mitnick's social engineering attack cycle. The attack framework addresses shortcomings of Mitnick's social engineering attack cycle and focuses on every step of the social engineering attack from determining the goal of an attack up to the successful conclusion of the attack. The authors use a previously proposed social engineering attack Ontological Model which provides a formal definition for a social engineering attack. The Ontological Model contains all the components of a social engineering attack and the social engineering attack framework presented in this paper is able to represent temporal data such as flow and time. Furthermore, this paper demonstrates how historical social engineering attacks can be mapped to the social engineering attack framework. By combining the Ontological Model and the attack framework, one is able to generate social engineering attack scenarios and to map historical social engineering attacks to a standardised format. Scenario generation and analysis of previous attacks are useful for the development of awareness, training purposes and the development of countermeasures against social engineering attacks.
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towards an Ontological Model defining the social engineering domain
11th IFIP International Conference on Human Choice and Computers (HCC), 2014Co-Authors: Francois Mouton, Mercia M. Malan, Louise Leenen, Hein S. VenterAbstract:The human is often the weak link in the attainment of Information Security due to their susceptibility to deception and manipulation. Social Engineering refers to the exploitation of humans in order to gain unauthorised access to sensitive information. Although Social Engineering is an important branch of Information Security, the discipline is not well defined; a number of different definitions appear in the literature. Several concepts in the domain of Social Engineering are defined in this paper. This paper also presents an Ontological Model for Social Engineering attack based on the analysis of existing definitions and taxonomies. An ontology enables the explicit, formal representation of the entities and their inter-relationships within a domain. The aim is both to contribute towards commonly accepted domain definitions, and to develop a representative Model for a Social Engineering attack. In summary, this paper provides concrete definitions for Social Engineering, Social Engineering attack and social engineer.
Faisal Munir - One of the best experts on this subject based on the ideXlab platform.
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ontology for attack detection an intelligent approach to web application security
Computers & Security, 2014Co-Authors: Abdul Razzaq, Zahid Anwar, Farooq H Ahmad, Khalid Latif, Faisal MunirAbstract:Conventional detection techniques struggle to keep up with the inherent complexity of web application design and hence the ever growing variety of attacks that can exploit it. Security frameworks Modeled using an Ontological approach are a promising new line of defense that can be highly effective in detecting zero day and sophisticated web application attacks because they can capture the context of the contents of information such as HTML pages or in-line scripts and have the ability to filter these contents by taking into consideration their consequences to the target applications. The goal of this article is to demonstrate how an ontology-engineering methodology may be systematically applied for designing and evaluating such security systems. A detailed Ontological Model is shown that caters to the generalized working of web applications, the underlying communication protocols and attacks. More specifically the proposed Ontological Model because it captures the context can not only detect HTTP protocol specification attacks but also helps focus only on specific portions of the request and response where a malicious script is possible. The Model also captures the context of important attacks, the various technologies used by the hackers, source, target and vulnerabilities exploited by the attack, impact on system components and controls for mitigation. A comprehensive and best metrics suite for ontology evaluation has been used for assessing the quality of proposed Model which includes correctness, accuracy, consistency, soundness, task orientation, completeness, conciseness, expandability, reusability, clarity, integrity, efficiency and expressiveness. The proposed Model ranked well against the above mentioned metrics. Moreover a prototype attack detection system based upon the proposed Model showed improved performance and detection rate and low rate of false positives while detecting OWASP's top ten listed web attacks.
Js Mboli - One of the best experts on this subject based on the ideXlab platform.
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an internet of things enabled decision support system for circular economy business Model
Software - Practice and Experience, 2020Co-Authors: Js Mboli, Dhavalkumar Thakker, Jyoti L MishraAbstract:The traditional linear economy using a take‐make‐dispose Model is resource intensive and has adverse environmental impacts. Circular economy (CE) which is regenerative and restorative by design is recommended as the business Model for resource efficiency. While there is a need for businesses and organisations to switch from linear to CE, there are several challenges that needs addressing such as business Models and the criticism of CE projects often being small scale. Technology can be an enabler toward scaling up CE; however, the prime challenge is to identify technologies that can allow predicting, tracking and proactively monitoring product's residual value to motivate businesses to pursue circularity decisions. In this paper, we propose an IoT‐enabled decision support system (DSS) for CE business Model that effectively allows tracking, monitoring, and analysing products in real time with the focus on residual value. The business Model is implemented using an Ontological Model. This Model is complemented by a semantic decision support system. The semantic Ontological Model, first of its kind, is evaluated for technical compliance. We applied DSS and the Ontological Model in a real‐world use case and demonstrate viability and applicability of our approach.
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An Internet of Things‐enabled decision support system for circular economy business Model
'Wiley', 2020Co-Authors: Js Mboli, Thakker D, Jl MishraAbstract:The traditional linear economy using a take‐make‐dispose Model is resource intensive and has adverse environmental impacts. Circular economy (CE) which is regenerative and restorative by design is recommended as the business Model for resource efficiency. While there is a need for businesses and organisations to switch from linear to CE, there are several challenges that needs addressing such as business Models and the criticism of CE projects often being small scale. Technology can be an enabler toward scaling up CE; however, the prime challenge is to identify technologies that can allow predicting, tracking and proactively monitoring product's residual value to motivate businesses to pursue circularity decisions. In this paper, we propose an IoT‐enabled decision support system (DSS) for CE business Model that effectively allows tracking, monitoring, and analysing products in real time with the focus on residual value. The business Model is implemented using an Ontological Model. This Model is complemented by a semantic decision support system. The semantic Ontological Model, first of its kind, is evaluated for technical compliance. We applied DSS and the Ontological Model in a real‐world use case and demonstrate viability and applicability of our approach
Seong Kyu Choi - One of the best experts on this subject based on the ideXlab platform.
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an Ontological Model to support communications of situation aware vehicles
Transportation Research Part C-emerging Technologies, 2015Co-Authors: Seong Kyu ChoiAbstract:In an Intelligent Transport System (ITS) environment, the communication component is of great importance to support interactions between vehicles and roadside infrastructure. Previous studies have focused on the physical capability and capacity of the communication technologies, but the equally important development of suitable and efficient semantic content for transmission received notably less attention. Ontology is one promising approach for context Modelling in ubiquitous computing environments, and in the transport domain it can be used both for context Modelling and semantic contents for vehicular communications. This paper explores the development of an Ontological Model implementing relative geo-semantic information messages to support vehicle-to-vehicle communications. The proposed ontology Model contains classes, objects, their properties/relations as well as some functions and query templates to represent and update the information of dynamic vehicles, inter-vehicle interactions and behaviour. This Model was developed through a scenario enabling the evaluation of traffic conflict resolution approaches, by implementing a set of decision-making processes for intelligent vehicles. Given the scope of the proposed ontology Modelling, it shows how vehicular communications can be used to update each vehicle’s context Model. This work can be easily extended for more complex interactions among vehicles and the infrastructure.
