TY  - CONF
A1  - Tolle, Karsten
A1  - Wigg-Wolf, David
T1  - Improving data quality by rules: a numismatic example
T2  - Proceedings of the 2017 CAA Annual Meeting
N2  - The archaeological data dealt with in our database solution Antike Fundmünzen in Europa (AFE), which records finds of ancient coins, is entered by humans. Based on the Linked Open Data (LOD) approach, we link our data to Nomisma.org concepts, as well as to other resources like Online Coins of the Roman Empire (OCRE). Since information such as denomination, material, etc. is recorded for each single coin, this information should be identical for coins of the same type. Unfortunately, this is not always the case, mostly due to human errors. Based on rules that we implemented, we were able to make use of this redundant information in order to detect possible errors within AFE, and were even able to correct errors in Nomimsa.org. However, the approach had the weakness that it was necessary to transform the data into an internal data model. In a second step, we therefore developed our rules within the Linked Open Data world. The rules can now be applied to datasets following the Nomisma. org modelling approach, as we demonstrated with data held by Corpus Nummorum Thracorum (CNT). We believe that the use of methods like this to increase the data quality of individual databases, as well as across different data sources and up to the higher levels of OCRE and Nomisma.org, is mandatory in order to increase trust in them.
KW  - data quality
KW  - SWRL
KW  - uncertainty
KW  - Datenqualität
KW  - Ungewissheit
Y1  - 2020
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/57691
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-576916
PB  - University Press
CY  - Tübingen
ER  -