Moon landing or safari? A study of systematic errors and their causes in geographic linked data

Krzysztof Janowicz; Yingjie Hu; Grant McKenzie; Song Gao; Blake Regalia; Gengchen Mai; Rui Zhu; Benjamin Adams; Kerry Taylor

doi:10.1007/978-3-319-45738-3_18

Moon landing or safari? A study of systematic errors and their causes in geographic linked data

Krzysztof Janowicz^*, Yingjie Hu, Grant McKenzie, Song Gao, Blake Regalia, Gengchen Mai, Rui Zhu, Benjamin Adams, Kerry Taylor

^*Corresponding author for this work

School of Geographical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

14 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Geographic Information Science - 9th International Conference, GIScience 2016, Proceedings
Editors	David O’Sullivan, Nancy Wiegand, Jennifer A. Miller
Publisher	Springer Verlag
Pages	275-290
Number of pages	16
ISBN (Print)	9783319457376
DOIs	https://doi.org/10.1007/978-3-319-45738-3_18
Publication status	Published - 2016
Event	9th International Conference on Geographic Information Science, GIScience 2016 - Montreal, Canada Duration: 27 Sept 2016 → 30 Sept 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9927 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Geographic Information Science, GIScience 2016
Country/Territory	Canada
City	Montreal
Period	27/09/16 → 30/09/16

Bibliographical note

Funding Information:
The authors would like to acknowledge partial support by the National Science Foundation (NSF) under award 1440202 EarthCube Building Blocks: Collaborative Proposal: GeoLink Leveraging Semantics and Linked Data for Data Sharing and Discovery in the Geosciences, NSF award 1540849 EarthCube IA: Collaborative Proposal: Cross-Domain Observational Metadata Environmental Sensing Network (X-DOMES), and the USGS award on Linked Data for the National Map.

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Access to Document

10.1007/978-3-319-45738-3_18

Handle.net

Persistent link

Cite this

Janowicz, K., Hu, Y., McKenzie, G., Gao, S., Regalia, B., Mai, G., Zhu, R., Adams, B., & Taylor, K. (2016). Moon landing or safari? A study of systematic errors and their causes in geographic linked data. In D. O’Sullivan, N. Wiegand, & J. A. Miller (Eds.), Geographic Information Science - 9th International Conference, GIScience 2016, Proceedings (pp. 275-290). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9927 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-45738-3_18

Janowicz, Krzysztof ; Hu, Yingjie ; McKenzie, Grant et al. / Moon landing or safari? A study of systematic errors and their causes in geographic linked data. Geographic Information Science - 9th International Conference, GIScience 2016, Proceedings. editor / David O’Sullivan ; Nancy Wiegand ; Jennifer A. Miller. Springer Verlag, 2016. pp. 275-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{143d1a51416049c19a544eaf958a1342,

title = "Moon landing or safari? A study of systematic errors and their causes in geographic linked data",

abstract = "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.",

author = "Krzysztof Janowicz and Yingjie Hu and Grant McKenzie and Song Gao and Blake Regalia and Gengchen Mai and Rui Zhu and Benjamin Adams and Kerry Taylor",

note = "Funding Information: The authors would like to acknowledge partial support by the National Science Foundation (NSF) under award 1440202 EarthCube Building Blocks: Collaborative Proposal: GeoLink Leveraging Semantics and Linked Data for Data Sharing and Discovery in the Geosciences, NSF award 1540849 EarthCube IA: Collaborative Proposal: Cross-Domain Observational Metadata Environmental Sensing Network (X-DOMES), and the USGS award on Linked Data for the National Map. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 9th International Conference on Geographic Information Science, GIScience 2016 ; Conference date: 27-09-2016 Through 30-09-2016",

year = "2016",

doi = "10.1007/978-3-319-45738-3_18",

language = "English",

isbn = "9783319457376",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "275--290",

editor = "David O{\textquoteright}Sullivan and Nancy Wiegand and Miller, {Jennifer A.}",

booktitle = "Geographic Information Science - 9th International Conference, GIScience 2016, Proceedings",

address = "Germany",

}

Janowicz, K, Hu, Y, McKenzie, G, Gao, S, Regalia, B, Mai, G, Zhu, R, Adams, B & Taylor, K 2016, Moon landing or safari? A study of systematic errors and their causes in geographic linked data. in D O’Sullivan, N Wiegand & JA Miller (eds), Geographic Information Science - 9th International Conference, GIScience 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9927 LNCS, Springer Verlag, pp. 275-290, 9th International Conference on Geographic Information Science, GIScience 2016, Montreal, Canada, 27/09/16. https://doi.org/10.1007/978-3-319-45738-3_18

Moon landing or safari? A study of systematic errors and their causes in geographic linked data. / Janowicz, Krzysztof; Hu, Yingjie; McKenzie, Grant et al.
Geographic Information Science - 9th International Conference, GIScience 2016, Proceedings. ed. / David O’Sullivan; Nancy Wiegand; Jennifer A. Miller. Springer Verlag, 2016. p. 275-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9927 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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 - Funding Information: The authors would like to acknowledge partial support by the National Science Foundation (NSF) under award 1440202 EarthCube Building Blocks: Collaborative Proposal: GeoLink Leveraging Semantics and Linked Data for Data Sharing and Discovery in the Geosciences, NSF award 1540849 EarthCube IA: Collaborative Proposal: Cross-Domain Observational Metadata Environmental Sensing Network (X-DOMES), and the USGS award on Linked Data for the National Map. 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 (Conference Proceeding)

AN - SCOPUS:84989860801

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 -

Janowicz K, Hu Y, McKenzie G, Gao S, Regalia B, Mai G et al. Moon landing or safari? A study of systematic errors and their causes in geographic linked data. In O’Sullivan D, Wiegand N, Miller JA, editors, Geographic Information Science - 9th International Conference, GIScience 2016, Proceedings. Springer Verlag. 2016. p. 275-290. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-45738-3_18

Moon landing or safari? A study of systematic errors and their causes in geographic linked data

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Handle.net

Other files and links

Fingerprint

Cite this