Development of Ontology-Based Information System Using Formal Concept Analysis and Association Rules

Bai, Xin; Zhou, XiangZhen

doi:10.1007/978-3-642-23753-9_20

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…Taxonomy is a hierarchy of concepts (only relation parent-child or subclass-superclass). Ontology has arbitrary complex relations between concepts other than concept hierarchy (Bai & Zhou, 2011).…”

Section: Discussionmentioning

confidence: 99%

Ontology-based approach for identifying the credibility domain in social Big Data

Wongthongtham

Abu-Salih

2018

Journal of Organizational Computing and Electronic Commerce

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The challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academics and industry. To address this challenge, semantic analysis of textual data is focused on in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyse the social data at two levels i.e. the entity level and the domain level. We have chosen Twitter as a social channel for the purpose of concept proof. Ontologies are used to capture domain knowledge and to enrich the semantics of tweets, by providing specific conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.

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Section: Discussionmentioning

confidence: 99%

Ontology-based approach for identifying the credibility domain in social Big Data

Wongthongtham

Abu-Salih

2018

Journal of Organizational Computing and Electronic Commerce

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“…Ontologies are being extensively used in different fields of study, primarily to organize information and formalize knowledge. It is receiving a special and growing attention from Computer Science professionals as experiences in IS development have shown to be related to long and expensive processes [Bai and Zhou 2011].…”

Section: Ontology and Information Securitymentioning

confidence: 99%

An Ontological Approach to Mitigate Risk in Web Applications

Marques

Ralha

2014

Anais Do XIV Simpósio Brasileiro De Segurança Da Informação E De Sistemas Computacionais (SBSeg 2014)

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Information Security (InfoSec) is becoming a high priority asset to support business activities, as organizations struggle to assure that data is available and secure in web applications. However, security is not a concern from the beginning of the development process, mainly because developers are not security specialists. Consequently, vulnerable systems are designed and when attacked can compromise organization's data and operations, enclosing high financial losses. Because most attacks targets the application layer, we propose an intelligent approach based on ontology to mitigate risks in web applications. An ontological approach can contribute to InfoSec knowledge dissemination and reduce the burden of implementing secure web applications on organizations. The ontology is based on the OWASP Top 10 Project, applied to reduce the gap between the application developer and the security knowledge. The proposed model is employed in the development's design phase; with more secure web applications as the outcome. The extensible and reusable developed ontology is evaluated in a prototype scenario of a web application named 'SMS Broadcast'. The results show that vulnerabilities can be reduced by increasing the security awareness of web developers during the application development process.

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“…Nesse sentido, ontologias tem sido cada vez mais usadas em diferentesáreas de estudo, especialmente para organizar informação sobre determinado assunto ou formalizar conhecimento que se encontra de forma desestruturada. Dentro daárea de Ciência da Computação, tem recebido atenção especial e crescente a medida que estudos demonstram que projetos de TI são longos e caros, justificando o sucesso dessa abordagem (Bai and Zhou, 2011).…”

Section: Capítulo 4 Ontologiaunclassified

Abordagem ontológica para mitigação de riscos em aplicações web

Marques¹

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Agradeço aos meus pais, Dina e Fernando, por me ensinarem a trilhar o meu próprio caminho através do conhecimento. Aos meus filhos, Laura e Daniel, pelos quais me esforçarei a fazer o mesmo. A minha mulher, Márcia, que ficou com eles durante todo o tempo em que precisei me dedicar a esse estudo. A orientadora Prof. Célia, por ter acolhido e acreditado no projeto e pela confiança depositada em mim, permitindo que, com liberdade, o trabalho fosse construído. Agradeço todo o apoio, paciência e conselhos ao longo do processo. Aos Professores Gondim e Auto Júnior, pelas valiosas contribuições durante o processo de evolução do trabalho. Ao amigo Daniel Souza, pela ajuda e estudos em todas as disciplinas cursadas. Obrigado! "A educação faz com que as pessoas sejam fáceis de guiar, mas difíceis de arrastar; fáceis de governar, mas impossíveis de escravizar."

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Development of Ontology-Based Information System Using Formal Concept Analysis and Association Rules

Cited by 6 publications

References 3 publications

Ontology-based approach for identifying the credibility domain in social Big Data

Ontology-based approach for identifying the credibility domain in social Big Data

An Ontological Approach to Mitigate Risk in Web Applications

Abordagem ontológica para mitigação de riscos em aplicações web

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