Data Quality Dimensions for Information Systems Security: A Theoretical Exposition (Invited Paper)

Tejay, Gurvirender; Dhillon, Gurpreet; Chin, Amita Goyal

doi:10.1007/0-387-31167-x_2

Cited by 13 publications

(43 citation statements)

References 32 publications

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“…In Tejay et al. (), Wang and Strong (), Ge and Helfert (), the authors surveyed several quality dimensions, such as completeness and correctness. Most of these dimensions have also been considered in the studies described in this section, addressing the quality of collaboratively created content.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on previous work and on the publishing guides provided by collaborative free editing repositories (StackOverflow, ; Wikipedia, ; Wookieepedia, ), we adapted and expanded the list of quality dimensions presented in Tejay et al. (), originally proposed for the domain of structured data. After that, we define the indicators to estimate.…”

Section: A General Multiview Approach For Quality Assessment Of Collamentioning

confidence: 99%

“…Thus, it is possible to learn how to combine these indicators to predict a quality level. Also, from a theoretical point of view, as highlighted by Wang and Strong (), Tejay, Dhillon, and Chin (), and Ge and Helfert (), quality synthesizes the measurement of various dimensions.…”

Section: Introductionmentioning

confidence: 99%

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A general multiview framework for assessing the quality of collaboratively created content on web 2.0

Dalip

Gonçalves

Cristo

et al. 2016

Asso for Info Science & Tech

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User-generated content is one of the most interesting phenomena of current published media, as users are now able not only to consume, but also to produce content in a much faster and easier manner. However, such freedom also carries concerns about content quality. In this work, we propose an automatic framework to assess the quality of collaboratively generated content. Quality is addressed as a multidimensional concept, modeled as a combination of independent assessments, each regarding different quality dimensions. Accordingly, we adopt a machine-learning (ML)based multiview approach to assess content quality. We perform a thorough analysis of our framework on two different domains: Questions and Answer Forums and Collaborative Encyclopedias. This allowed us to better understand when and how the proposed multiview approach is able to provide accurate quality assessments. Our main contributions are: (a) a general ML multiview framework that takes advantage of different views of quality indicators; (b) the improvement (up to 30%) in quality assessment over the best state-of-the-art baseline methods; (c) a thorough feature and view analysis regarding impact, informativeness, and correlation, based on two distinct domains.

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Section: Literature Reviewmentioning

confidence: 99%

Section: A General Multiview Approach For Quality Assessment Of Collamentioning

confidence: 99%

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A general multiview framework for assessing the quality of collaboratively created content on web 2.0

Dalip

Gonçalves

Cristo

et al. 2016

Asso for Info Science & Tech

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“…Syntactic associated with the data, the semantics associated with the information and knowledge related to the pragmatics level. Tejay (2006) also classified about 50 dimensions of quality attribute into semiotic level above and he explained that each level has a specific control to maintain the information quality in acceptable level.…”

Section: It 51 Semioticmentioning

confidence: 99%

Financial documentation system design based on information quality at Ministry of Communication and Information Technology

Wibowo

Albarda

2014

2014 International Conference on ICT for Smart Society (ICISS)

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Ahstract-Compiling a financial statement (F IS) as one of accountability report for government institution is not easy due to complicated process and exposed by many risks that can decrease the information quality in F/S. There are many frameworks available to identify and to improve the information quality in F/S. Some tools will be used here are Information Quality Management Framework (IQMF), Data Quality Assessment, and INDEKSKAMI. This research basically is trying to give a foundation about how to make the right decision in planning phase in hope to get a better information quality in the future.

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“…As quality can be viewed as a multidimensional concept, many authors have proposed general taxonomies of quality dimensions (Ge & Helfert, 2007;Tejay, Dhillon, & Chin, 2006;Wang & Strong, 1996). Examples of dimensions are coherence, completeness, and correctness.…”

Section: Quality Of Interconnected Contentmentioning

confidence: 99%

A wikification prediction model based on the combination of latent, dyadic and monadic features

Ferreira¹

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Considering repositories of web documents that are semantically linked and created in a collaborative fashion, as in the case of Wikipedia, a key problem faced by content providers is the placement of links in the articles. These links must support user navigation and provide a deeper semantic interpretation of the content. Current wikification methods exploit machine learning techniques to capture characteristics of the concepts and its associations. In previous work, we proposed a preliminary prediction model combining traditional predictors with a latent component which captures the concept graph topology by means of matrix factorization. In this work, we provide a detailed description of our method and a deeper comparison with a state-of-the-art wikification method using a sample of Wikipedia and report a gain up to 13% in F1 score. We also provide a comprehensive analysis of the model performance showing the importance of the latent predictor component and the attributes derived from the associations between the concepts. Moreover, we include an analysis that allows us to conclude that the model is resilient to ambiguity without including a disambiguation phase. We finally report the positive impact of selecting training samples from specific content quality classes.

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Data Quality Dimensions for Information Systems Security: A Theoretical Exposition (Invited Paper)

Cited by 13 publications

References 32 publications

A general multiview framework for assessing the quality of collaboratively created content on web 2.0

A general multiview framework for assessing the quality of collaboratively created content on web 2.0

Financial documentation system design based on information quality at Ministry of Communication and Information Technology

A wikification prediction model based on the combination of latent, dyadic and monadic features

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