A novel data model to empower a visual analytics platform for urban systems

Triana, Jhon Alejandro; Zeckzer, Dirk; Hernández, José Tiberio

doi:10.1109/colombiancc.2013.6637518

Cited by 2 publications

(4 citation statements)

References 7 publications

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Section: Vafusq: a Methodology To Generate Visual Analysis Applicatiomentioning

confidence: 99%

“…The data model loading consists of loading the available data and generating new data in order to support the analysis task. The generation of new data is possible using integration and derivation methods, such as those proposed by Triana et al 36 Finally, the data quality assessment selects the estimation methods for the DQDs chosen in the data model design step. The methods usually are objective; however, subjective metrics are possible when objective methods are not available.…”

Section: Dq Item Estimationmentioning

confidence: 99%

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VafusQ: A methodology to build visual analysis applications with data quality features

Triana

Zeckzer

Hagen

et al. 2018

Information Visualization

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The use of interactive applications to support the decision-making process is more common every day. However, a huge amount of data is required in order to make more informed decisions. Fortunately, with the arrival of new technologies there are many data sources available. This requirement of data causes heterogeneity and data quality problems. A set of data quality problems are reduced in the preprocessing stage. However, many data quality issues persist after the preprocessing stage. For this reason, we proposed a methodology to take the data quality problems, to represent them and simultaneously support the analysis process. In addition, an application is developed as a use case of the methodology by analyzing the public transport system in Bogotá. Furthermore, a case study is performed to test the usefulness of the developed application. As a result, the methodology made possible the development of interactive visualizations that constitute an application that is useful to achieve the analysis tasks by including data quality features.

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Section: Vafusq: a Methodology To Generate Visual Analysis Applicatiomentioning

confidence: 99%

Section: Dq Item Estimationmentioning

confidence: 99%

VafusQ: A methodology to build visual analysis applications with data quality features

Triana

Zeckzer

Hagen

et al. 2018

Information Visualization

Self Cite

View full text Add to dashboard Cite

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“…Scholars have had two main objectives: (1) verifying whether quality information quality exists and (2) evaluating information quality and its impact. Research on information quality assessment and its impact is subdivided into studies on evaluation methods and their applications (Triana et al, 2013;Wamba et al, 2019;Zhang et al, 2019;Lwoga and Sife, 2018) and theoretical studies based on an evaluation index system (Fink-Shamit and Bar-Ilan, 2008;Stvilia et al, 2007;Yaari et al, 2011). Recently, research on social media information quality has been burgeoning, with most studies focusing on its influence on user experience and behavior.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Social media emergency information assessment of major emergencies: a case study of additional emotional characteristics

Liu

Tian

Zhu

2021

LHT

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PurposeThis study aimed to analyze existing problems in the dissemination and management of emergency information on social media platforms, improve social media users' experience regarding such information, increase the efficiency of emergency information dissemination and curb the spread of misinformation.Design/methodology/approachIn this study, the emergency information quality on social media platforms was examined. Based on the evaluation principles of the quality of mature information, social media information characteristics and the rules of emergency information dissemination, combined with relevant academic research results, an index to evaluate the quality of emergency information on social media was constructed. In addition, the authors have introduced cloud theory as an information quality evaluation method and used social media users' emotional characteristics to assess information quality evaluation results. A comprehensive system for evaluating emergency information quality, including indexes, methods and detection strategies was established. Based on a comprehensive system, a case study was conducted on the forest fires in Sichuan Province and the African swine fever events as reported on the Zhihu platform. In accordance with the results of the case study, the authors expanded the research and introduced the emotional characteristics of social media users as an independent evaluation dimension to evaluate the quality of emergency information on social media.FindingsThe comprehensive system's effectiveness was verified through the case study. Further, it was found that users' emotional characteristics (reflected in their information behavior) are inconsistent with their evaluation of websites' information quality regarding major emergencies. Integrating users' emotional characteristics into the information evaluation system can enhance its effectiveness following major emergencies.Originality/valueFirst, an evaluation index system of emergency information quality on social media about major emergencies was offered. Unlike the commonly available index system for information quality evaluation, this proposed evaluation index system not only accounted for the characteristics of social media, such as massive disordered information, multiple information sources and rapid dissemination, but also for the characteristics of emergency events, such as variability and the absence of precursors. This proposed evaluation index system enhances the pertinence of the information quality evaluation and compensates for the shortcoming that the current research only focuses on evaluating social media information quality in a broad context, but pays insufficient attention to major emergencies. Second, cloud theory was introduced as a method to evaluate the emergency information quality found on social media. Existing research has primarily included the use of traditional statistical methods, which cannot transform numerical values into qualitative concepts effectively. Various indeterminate factors inevitably affect the quality of emergency information on social media platforms, and the traditional methods cannot eliminate this uncertainty in the evaluation process. The method to assess emergency information quality based on cloud theory can effectively compensate for the gaps in the research and improve the accuracy of information quality assessment. Third, the inspection and the dynamic adjustment of assessment results are absent in the research on information quality assessment, and the research has relied principally on the information users' evaluation and has paid insufficient attention to their attitudes and behaviors toward information. Therefore, the authors incorporated users' emotional characteristics into the evaluation of emergency information quality on social media and used them to test the evaluation results so that the results of the information quality assessment not only include the users' explicit attitudes but also their implicit attitudes. This enhances the effectiveness of the information quality assessment system. Finally, through this case study, it was found that an inconsistency exists between user evaluation and user emotional characteristics after major emergencies. The reasons for this phenomenon were explained, and the necessity of integrating user emotional characteristics into information quality assessment was demonstrated. Based on this, the users' emotional characteristics were used as a separate evaluation dimension for assessing the quality of emergency information on social media. Compared with assessing the quality of general information, integrating the user's emotional characteristics into the evaluation index system can lead the evaluation results to include not only the users' cognitive evaluation but also their emotional experience, further enhancing their adaptability.

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A novel data model to empower a visual analytics platform for urban systems

Cited by 2 publications

References 7 publications

VafusQ: A methodology to build visual analysis applications with data quality features

VafusQ: A methodology to build visual analysis applications with data quality features

Social media emergency information assessment of major emergencies: a case study of additional emotional characteristics

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