Challenges for Value-driven Semantic Data Quality Management
نویسنده
چکیده
This paper reflects on six years developing semantic data quality tools and curation systems for both largescale social sciences data collection and a major web of data hub. This experience has led the author to believe in using organisational value as a mechanism for automation of data quality management to deal with Big Data volumes and variety. However there are many challenges in developing these automated systems and this discussion paper sets out a set of challenges with respect to the current state of the art and identifies a number of potential avenues for researchers to tackle these challenges.
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