An Investigative Study on the Quality Aspects of Linked Open Data
Monika Rani H G, R. Sapna, Shakti Mishra · 2018
Linked Open Data refers to a set of best practices that empowers enterprises to publish and interlink their data using existing ontologies on the Semantic Web. The focus of linked open data is to move from document-based Web to a Web of interlinked data, created by typed links between data from different data sources. Linked open data expert group has taken cognizance of data quality importance, as the amount of linked data publications grown on the Web substantially. Measures have been taken to check the linked data quality. But, these measures are diverse in nature with respect to quality terms. This makes the comparison and evaluation difficult, leading to an incorrect selection of accurate data sources based on quality requirements. In this paper, we carried out an analysis on linked data, the quality of linked data, the frameworks to assess the quality of linked data and the challenges to achieve the quality of linked open data.