26th International Conference on Database and Expert Systems Applications - DEXA 2015 , 2015-09-01

Title : ( Quality Metrics for Linked Open Data )

Authors: Behshid Behkamal , mohsen kahani , Ebrahim Bagheri ,

Citation: BibTeX | EndNote

The vision of the Linked Open Data (LOD) initiative is to provide a model for publishing data and meaningfully interlinking such dispersed but related data. Despite the importance of data quality for the successful growth of the LOD, only limited attention has been focused on quality of data prior to their publication on the LOD. This paper focuses on the systematic assessment of the quality of datasets prior to publication on the LOD cloud. To this end, we identify important quality deficiencies that need to be avoided and/or resolved prior to the publication of a dataset. We then propose a set of metrics to measure and identify these quality deficiencies in a dataset. This way, we enable the assessment and identification of undesirable quality characteristics of a dataset through our proposed metrics.

Keywords

Metrics RDF datasets Quality deficiencies Linked open
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@inproceedings{paperid:1049235,
author = {Behkamal, Behshid and Kahani, Mohsen and Ebrahim Bagheri},
title = {Quality Metrics for Linked Open Data},
booktitle = {26th International Conference on Database and Expert Systems Applications - DEXA 2015},
year = {2015},
location = {Valencia, Spain},
keywords = {Metrics RDF datasets Quality deficiencies Linked open data},
}

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%0 Conference Proceedings
%T Quality Metrics for Linked Open Data
%A Behkamal, Behshid
%A Kahani, Mohsen
%A Ebrahim Bagheri
%J 26th International Conference on Database and Expert Systems Applications - DEXA 2015
%D 2015

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