StatSpace: A unified platform for statistical data exploration

Ba Lam Do; Peter Wetz; Elmar Kiesling; Peb Ruswono Aryan; Tuan Dat Trinh; A. Min Tjoa

doi:10.1007/978-3-319-48472-3_50

StatSpace: A unified platform for statistical data exploration

Ba Lam Do^*, Peter Wetz, Elmar Kiesling, Peb Ruswono Aryan, Tuan Dat Trinh, A. Min Tjoa

^*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

In recent years, the amount of statistical data available on the web has been growing fast. Numerous organizations and governments publish data sets in a multitude of formats and encodings, using different scales, and providing access through a wide range of mechanisms. Due to such inconsistent publishing practices, integrated analysis of statistical data is challenging. StatSpace tackles this problem through semantic integration and provides uniform access to disparate statistical data. At present, it incorporates more than 1,800 data sets published by a variety of data providers including the World Bank, the European Union, and the European Environment Agency. StatSpace transparently lifts data from raw sources, maps geographical and temporal dimensions, aligns value ranges, and allows users to explore and integrate the previously isolated data sets. This paper introduces the constituent elements of the StatSpace architecture – i.e., a metadata repository, URI design patterns, and supporting services – and demonstrates the usefulness of the resulting Linked Data infrastructure by means of use case examples.

Originalsprache	Englisch
Titel des Sammelwerks	On the Move to Meaningful Internet Systems
Untertitel des Sammelwerks	OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings
Herausgeber*innen	Tharam Dillon, Christophe Debruyne, Declan Oâ’Sullivan, Herve Panetto, Eva Kuhn, Claudio Agostino Ardagna, Robert Meersman
Erscheinungsort	Cham
Verlag	Springer
Seiten	792-809
Seitenumfang	18
ISBN (elektronisch)	9783319484723
ISBN (Print)	9783319484716
DOIs	https://doi.org/10.1007/978-3-319-48472-3_50
Publikationsstatus	Veröffentlicht - 2016
Extern publiziert	Ja
Veranstaltung	Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016 - Rhodes, Griechenland Dauer: 24 Okt. 2016 → 28 Okt. 2016

Publikationsreihe

Reihe	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	10033 LNCS
ISSN	0302-9743

Konferenz

Konferenz	Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016
Land/Gebiet	Griechenland
Ort	Rhodes
Zeitraum	24/10/16 → 28/10/16

Bibliographische Notiz

Publisher Copyright:
© Springer International Publishing AG 2016.

Zugriff auf Dokument

10.1007/978-3-319-48472-3_50

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Zitat

Do, B. L., Wetz, P., Kiesling, E., Aryan, P. R., Trinh, T. D., & Tjoa, A. M. (2016). StatSpace: A unified platform for statistical data exploration. in T. Dillon, C. Debruyne, D. Oâ’Sullivan, H. Panetto, E. Kuhn, C. A. Ardagna, & R. Meersman (Hrsg.), On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings (S. 792-809). Springer. https://doi.org/10.1007/978-3-319-48472-3_50

Do, Ba Lam ; Wetz, Peter ; Kiesling, Elmar et al. / StatSpace : A unified platform for statistical data exploration. On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings. Hrsg. / Tharam Dillon ; Christophe Debruyne ; Declan Oâ’Sullivan ; Herve Panetto ; Eva Kuhn ; Claudio Agostino Ardagna ; Robert Meersman. Cham : Springer, 2016. S. 792-809 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Band 10033 LNCS).

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title = "StatSpace: A unified platform for statistical data exploration",

abstract = "In recent years, the amount of statistical data available on the web has been growing fast. Numerous organizations and governments publish data sets in a multitude of formats and encodings, using different scales, and providing access through a wide range of mechanisms. Due to such inconsistent publishing practices, integrated analysis of statistical data is challenging. StatSpace tackles this problem through semantic integration and provides uniform access to disparate statistical data. At present, it incorporates more than 1,800 data sets published by a variety of data providers including the World Bank, the European Union, and the European Environment Agency. StatSpace transparently lifts data from raw sources, maps geographical and temporal dimensions, aligns value ranges, and allows users to explore and integrate the previously isolated data sets. This paper introduces the constituent elements of the StatSpace architecture – i.e., a metadata repository, URI design patterns, and supporting services – and demonstrates the usefulness of the resulting Linked Data infrastructure by means of use case examples.",

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author = "Do, {Ba Lam} and Peter Wetz and Elmar Kiesling and Aryan, {Peb Ruswono} and Trinh, {Tuan Dat} and Tjoa, {A. Min}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016 ; Conference date: 24-10-2016 Through 28-10-2016",

year = "2016",

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Do, BL, Wetz, P, Kiesling, E, Aryan, PR, Trinh, TD & Tjoa, AM 2016, StatSpace: A unified platform for statistical data exploration. in T Dillon, C Debruyne, D Oâ’Sullivan, H Panetto, E Kuhn, CA Ardagna & R Meersman (Hrsg.), On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings. Springer, Cham, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 10033 LNCS, S. 792-809, Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016, Rhodes, Griechenland, 24/10/16. https://doi.org/10.1007/978-3-319-48472-3_50

StatSpace: A unified platform for statistical data exploration. / Do, Ba Lam; Wetz, Peter; Kiesling, Elmar et al.
On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings. Hrsg. / Tharam Dillon; Christophe Debruyne; Declan Oâ’Sullivan; Herve Panetto; Eva Kuhn; Claudio Agostino Ardagna; Robert Meersman. Cham: Springer, 2016. S. 792-809 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Band 10033 LNCS).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - StatSpace

T2 - Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016

AU - Do, Ba Lam

AU - Wetz, Peter

AU - Kiesling, Elmar

AU - Aryan, Peb Ruswono

AU - Trinh, Tuan Dat

AU - Tjoa, A. Min

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - In recent years, the amount of statistical data available on the web has been growing fast. Numerous organizations and governments publish data sets in a multitude of formats and encodings, using different scales, and providing access through a wide range of mechanisms. Due to such inconsistent publishing practices, integrated analysis of statistical data is challenging. StatSpace tackles this problem through semantic integration and provides uniform access to disparate statistical data. At present, it incorporates more than 1,800 data sets published by a variety of data providers including the World Bank, the European Union, and the European Environment Agency. StatSpace transparently lifts data from raw sources, maps geographical and temporal dimensions, aligns value ranges, and allows users to explore and integrate the previously isolated data sets. This paper introduces the constituent elements of the StatSpace architecture – i.e., a metadata repository, URI design patterns, and supporting services – and demonstrates the usefulness of the resulting Linked Data infrastructure by means of use case examples.

AB - In recent years, the amount of statistical data available on the web has been growing fast. Numerous organizations and governments publish data sets in a multitude of formats and encodings, using different scales, and providing access through a wide range of mechanisms. Due to such inconsistent publishing practices, integrated analysis of statistical data is challenging. StatSpace tackles this problem through semantic integration and provides uniform access to disparate statistical data. At present, it incorporates more than 1,800 data sets published by a variety of data providers including the World Bank, the European Union, and the European Environment Agency. StatSpace transparently lifts data from raw sources, maps geographical and temporal dimensions, aligns value ranges, and allows users to explore and integrate the previously isolated data sets. This paper introduces the constituent elements of the StatSpace architecture – i.e., a metadata repository, URI design patterns, and supporting services – and demonstrates the usefulness of the resulting Linked Data infrastructure by means of use case examples.

KW - Data exploration

KW - Data integration

KW - Metadata

KW - Service

KW - Statistical data

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U2 - 10.1007/978-3-319-48472-3_50

DO - 10.1007/978-3-319-48472-3_50

M3 - Contribution to conference proceedings

SN - 9783319484716

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 792

EP - 809

BT - On the Move to Meaningful Internet Systems

A2 - Dillon, Tharam

A2 - Debruyne, Christophe

A2 - Oâ’Sullivan, Declan

A2 - Panetto, Herve

A2 - Kuhn, Eva

A2 - Ardagna, Claudio Agostino

A2 - Meersman, Robert

PB - Springer

CY - Cham

Y2 - 24 October 2016 through 28 October 2016

ER -

Do BL, Wetz P, Kiesling E, Aryan PR, Trinh TD, Tjoa AM. StatSpace: A unified platform for statistical data exploration. in Dillon T, Debruyne C, Oâ’Sullivan D, Panetto H, Kuhn E, Ardagna CA, Meersman R, Hrsg., On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings. Cham: Springer. 2016. S. 792-809. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Band 10033 LNCS). doi: 10.1007/978-3-319-48472-3_50