TY - GEN
T1 - Moon landing or safari? A study of systematic errors and their causes in geographic linked data
AU - Janowicz, Krzysztof
AU - Hu, Yingjie
AU - McKenzie, Grant
AU - Gao, Song
AU - Regalia, Blake
AU - Mai, Gengchen
AU - Zhu, Rui
AU - Adams, Benjamin
AU - Taylor, Kerry
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - While the adoption of Linked Data technologies has grown dramatically over the past few years, it has not come without its own set of growing challenges. The triplification of domain data into Linked Data has not only given rise to a leading role of places and positioning information for the dense interlinkage of data about actors, objects, and events, but also led to massive errors in the generation, transformation, and semantic annotation of data. In a global and densely interlinked graph of data, even seemingly minor error can have far reaching consequences as different datasets make statements about the same resources. In this work we present the first comprehensive study of systematic errors and their potential causes. We also discuss lessons learned and means to avoid some of the introduced pitfalls in the future.
AB - While the adoption of Linked Data technologies has grown dramatically over the past few years, it has not come without its own set of growing challenges. The triplification of domain data into Linked Data has not only given rise to a leading role of places and positioning information for the dense interlinkage of data about actors, objects, and events, but also led to massive errors in the generation, transformation, and semantic annotation of data. In a global and densely interlinked graph of data, even seemingly minor error can have far reaching consequences as different datasets make statements about the same resources. In this work we present the first comprehensive study of systematic errors and their potential causes. We also discuss lessons learned and means to avoid some of the introduced pitfalls in the future.
UR - http://www.scopus.com/inward/record.url?scp=84989860801&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-45738-3_18
DO - 10.1007/978-3-319-45738-3_18
M3 - Conference contribution
SN - 9783319457376
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 275
EP - 290
BT - Geographic Information Science - 9th International Conference, GIScience 2016, Proceedings
A2 - O’Sullivan, David
A2 - Wiegand, Nancy
A2 - Miller, Jennifer A.
PB - Springer Verlag
T2 - 9th International Conference on Geographic Information Science, GIScience 2016
Y2 - 27 September 2016 through 30 September 2016
ER -