Improving Linked Data Quality Assessment and Fusion by a Conflict Resolution Approach

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Khodizadeh Nahari Mohammad; GHADIRI NASSER; Baraani Dastjerdi Ahmad; Sack Jorg R.

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Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2020 | Volume:50 | Issue:1 (91) Page(s): 113-125

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Title

Improving Linked Data Quality Assessment and Fusion by a Conflict Resolution Approach

Author(s)

Khodizadeh Nahari Mohammad | GHADIRI NASSER | Baraani Dastjerdi Ahmad | Sack Jorg R. | Issue Writer Certificate

Keywords

Semantic WebQ2

Linked DataQ1

Data QualityQ1

Data FusionQ1

Conflict ResolutionQ1

Data InconsistencyQ1

Abstract

The Semantic Web technology and decision making based on the Linked Data is progressing every day. The Linked Data are managed as decentralized sources, and their quality is a serious concern. The assessment of the quality of Linked Data is a key to adopting them in different fields because each data set has been developed by a different group, using various methods and tools. The qualitative and quantitative diversity of such data is higher than those generated by official organizations and firms. In this paper, we first overview and evaluate the dimensions and measures for the quality assessment of data especially Linked Data. Then, we present a novel framework as a solution for improving Linked Data quality assessment and Data Fusion. The good quality data make good result in Data Fusion. Finally, we introduce six rules for handling data conflicts and a new metric for assessment of granularity level of data (GLQM) and adopt several tools to assess the quality of data using the proposed framework.

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APA: Copy

Khodizadeh Nahari, Mohammad, GHADIRI, NASSER, Baraani Dastjerdi, Ahmad, & Sack, Jorg R.. (2020). Improving Linked Data Quality Assessment and Fusion by a Conflict Resolution Approach. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(1 (91) ), 113-125. SID. https://sid.ir/paper/401778/en

Vancouver: Copy

Khodizadeh Nahari Mohammad, GHADIRI NASSER, Baraani Dastjerdi Ahmad, Sack Jorg R.. Improving Linked Data Quality Assessment and Fusion by a Conflict Resolution Approach. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;50(1 (91) ):113-125. Available from: https://sid.ir/paper/401778/en

IEEE: Copy

Mohammad Khodizadeh Nahari, NASSER GHADIRI, Ahmad Baraani Dastjerdi, and Jorg R. Sack, “Improving Linked Data Quality Assessment and Fusion by a Conflict Resolution Approach,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 50, no. 1 (91) , pp. 113–125, 2020, [Online]. Available: https://sid.ir/paper/401778/en

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