Accounting for quality in data integration systems: a completeness-aware integration approach
نویسندگان
چکیده
Abstract Ensuring the quality of integrated data is undoubtedly one main problems systems. When focusing on multi-national and historical integration systems, where “space” “time” dimensions play a relevant role, it very much important to build layer in such way that final user accesses “by design” as complete possible. In this paper, we propose method for accessing multipurpose infrastructures, like which has properties (i) relieving from need access single sources while, at same time, (ii) ensuring maximize amount information available layer. Our approach based completeness-aware allows have ready all maximum can get out system without having carry preliminary analysis each databases included system. proposal providing level extends then functions individual sources, opening infrastructure additional uses. This may be first step move infrastructures towards knowledge infrastructures. A case study research science innovation studies shows usefulness proposed approach.
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ژورنال
عنوان ژورنال: Scientometrics
سال: 2022
ISSN: ['1588-2861', '0138-9130']
DOI: https://doi.org/10.1007/s11192-022-04266-0