Uncovering Hidden Qualities - Benefits of Quality Measures for Automatically Generated Metadata

TitleUncovering Hidden Qualities - Benefits of Quality Measures for Automatically Generated Metadata
Publication TypeConference Paper
Year of Publication2010
AuthorsTönnies, S., and W. - T. Balke
Conference Name14th European Conference on Digital Libraries (ECDL)
Date Published09/2010
Conference LocationGlasgow, UK
Abstract

Today, digital libraries more and more have to rely on semantic tech-niques during the workflows of metadata generation, search and navigational access. But, due to the statistical and/or collaborative nature of such techniques, the underlying quality of automatically generated metadata is questionable. Since data quality is essential in digital libraries, we present a user study on one hand evaluating metrics for quality assessment, on the other hand evaluating their benefit for the individual user during interaction. To observe the interac-tion of domain experts in the sample field of chemistry, we transferred the ab-stract metrics’ outcome for a sample semantic technique into three different kinds of visualizations and asked the experts to evaluate these visualizations first without, later augmented with the quality information. We show that the generated quality information is indeed not only essential for data quality assur-ance in the curation step of digital libraries, but will also be helpful for design-ing intuitive interaction interfaces for end-users.

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