ODArchive - Creating an archive for structured data from Open Data Portals

Thomas Weber; Johann Mitlöhner; Sebastian Neumaier; Axel Polleres

ODArchive - Creating an archive for structured data from Open Data Portals

Thomas Weber, Johann Mitlöhner, Sebastian Neumaier, Axel Polleres

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

We present ODArchive, a large corpus of structured data collected from over 260 Open Data portals worldwide, alongside with curated, integrated metadata. Furthermore we enrich the harvested datasets by heuristic annotations using the type hierarchies in existing Knowledge Graphs. We both (i) present the underlying distributed architecture to scale up regular harvesting and monitoring changes on these portals, and (ii) make the corpus available via different APIs. Moreover, we (iii) analys the characteristics of tabular data within the corpus. Our APIs can be used to regularly run such analyses or to reproduce experiments from the literature that have worked on static, not publicly available corpora.

Originalsprache	Englisch
Titel des Sammelwerks	LNCS
Herausgeber*innen	eff Z. Pan, Valentina Tamma, Claudia d’Amato, Krzysztof Janowicz, Bo Fu, Axel Polleres, Oshani Seneviratne, Lalana Kagal
Erscheinungsort	Virtual Conference (Athens, Greece)
Verlag	Springer
Seiten	311 - 327
Publikationsstatus	Veröffentlicht - 2020

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Katalog der Universitätsbibliothek

Andere Dateien und Links

http://polleres.net/publications/webe-etal-2020ISWC.pdf

Zitat

@inproceedings{44be78fdfe8041dd93be6490bf19e6bc,

title = "ODArchive - Creating an archive for structured data from Open Data Portals",

abstract = "We present ODArchive, a large corpus of structured data collected from over 260 Open Data portals worldwide, alongside with curated, integrated metadata. Furthermore we enrich the harvested datasets by heuristic annotations using the type hierarchies in existing Knowledge Graphs. We both (i) present the underlying distributed architecture to scale up regular harvesting and monitoring changes on these portals, and (ii) make the corpus available via different APIs. Moreover, we (iii) analys the characteristics of tabular data within the corpus. Our APIs can be used to regularly run such analyses or to reproduce experiments from the literature that have worked on static, not publicly available corpora.",

author = "Thomas Weber and Johann Mitl{\"o}hner and Sebastian Neumaier and Axel Polleres",

year = "2020",

language = "English",

pages = "311 -- 327",

editor = "{eff Z. Pan, Valentina Tamma, Claudia d{\textquoteright}Amato, Krzysztof Janowicz, Bo Fu, Axel Polleres, Oshani Seneviratne, Lalana Kagal}",

booktitle = "LNCS",

publisher = "Springer",

address = "Germany",

}

ODArchive - Creating an archive for structured data from Open Data Portals. / Weber, Thomas; Mitlöhner, Johann ; Neumaier, Sebastian et al.
LNCS. Hrsg. / eff Z. Pan, Valentina Tamma, Claudia d’Amato, Krzysztof Janowicz, Bo Fu, Axel Polleres, Oshani Seneviratne, Lalana Kagal. Virtual Conference (Athens, Greece): Springer, 2020. S. 311 - 327.

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - ODArchive - Creating an archive for structured data from Open Data Portals

AU - Weber, Thomas

AU - Mitlöhner, Johann

AU - Neumaier, Sebastian

AU - Polleres, Axel

PY - 2020

Y1 - 2020

N2 - We present ODArchive, a large corpus of structured data collected from over 260 Open Data portals worldwide, alongside with curated, integrated metadata. Furthermore we enrich the harvested datasets by heuristic annotations using the type hierarchies in existing Knowledge Graphs. We both (i) present the underlying distributed architecture to scale up regular harvesting and monitoring changes on these portals, and (ii) make the corpus available via different APIs. Moreover, we (iii) analys the characteristics of tabular data within the corpus. Our APIs can be used to regularly run such analyses or to reproduce experiments from the literature that have worked on static, not publicly available corpora.

AB - We present ODArchive, a large corpus of structured data collected from over 260 Open Data portals worldwide, alongside with curated, integrated metadata. Furthermore we enrich the harvested datasets by heuristic annotations using the type hierarchies in existing Knowledge Graphs. We both (i) present the underlying distributed architecture to scale up regular harvesting and monitoring changes on these portals, and (ii) make the corpus available via different APIs. Moreover, we (iii) analys the characteristics of tabular data within the corpus. Our APIs can be used to regularly run such analyses or to reproduce experiments from the literature that have worked on static, not publicly available corpora.

UR - http://polleres.net/publications/webe-etal-2020ISWC.pdf

M3 - Contribution to conference proceedings

SP - 311

EP - 327

BT - LNCS

A2 - eff Z. Pan, Valentina Tamma, Claudia d’Amato, Krzysztof Janowicz, Bo Fu, Axel Polleres, Oshani Seneviratne, Lalana Kagal, null

PB - Springer

CY - Virtual Conference (Athens, Greece)

ER -