research-article

Generating a linked soccer dataset

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Ricarda SchülerAuthors Info & Claims

I-SEMANTICS '13: Proceedings of the 9th International Conference on Semantic Systems

Pages 146 - 149

https://doi.org/10.1145/2506182.2506203

Published: 04 September 2013 Publication History

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Abstract

The provision of Linked Data about sporting results enables extensive statistics, while connections to further datasets allow enhanced and sophisticated analyses. Moreover, providing sports data as Linked Open Data may promote new applications, which are currently impossible due to the locked nature of today's proprietary sports databases. Though the sport domain is strongly underrepresented in the Linked Open Data Cloud. In this paper we present a dataset containing information about soccer entities crawled from heterogeneous sources and linked to related entities from the LOD cloud. To enable easy exploration and to illustrate the capabilities of the dataset a web interface is providing a structured overview and extensive statistics.

References

[1]

J. Demter, S. Auer, M. Martin, and J. Lehmann. Lodstats -- an extensible framework for high-performance dataset analytics. In Proceedings of the EKAW 2012, Lecture Notes in Computer Science (LNCS) 7603. Springer, 2012.

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[2]

S. Oliver. Enhancing the bbc's world cup coverage with an ontology driven information architecture. In 9th International Semantic Web Conference (ISWC2010), November 2010.

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J. Rayfield. Semantic Technologies in Content Management Systems, chapter Dynamic Semantic Publishing, pages 49--64. Springer Berlin, Heidelberg, 2012.

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Cited By

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Chaudhuri DRony MJordan SLehmann J(2019)Using a KG-Copy Network for Non-goal Oriented DialoguesThe Semantic Web – ISWC 201910.1007/978-3-030-30793-6_6(93-109)Online publication date: 17-Oct-2019
https://doi.org/10.1007/978-3-030-30793-6_6
Uzun ACoskun G(2015)Semantische Technologien für MobilfunkunternehmenCorporate Semantic Web10.1007/978-3-642-54886-4_11(145-165)Online publication date: 27-May-2015
https://doi.org/10.1007/978-3-642-54886-4_11
Uzun Avon Hoffen MKüpper AAkerkar RBassiliades NDavies JErmolayev V(2014)Enabling Semantically Enriched Data Analytics by Leveraging Topology-based Mobile Network Context OntologiesProceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)10.1145/2611040.2611084(1-6)Online publication date: 2-Jun-2014
https://dl.acm.org/doi/10.1145/2611040.2611084

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Information

Published In

I-SEMANTICS '13: Proceedings of the 9th International Conference on Semantic Systems

September 2013

158 pages

ISBN:9781450319720

DOI:10.1145/2506182

Editors:
Marta Sabou
MODUL University Vienna, Austria
,
Eva Blomqvist
Linköpings Universitet, Sweden
,
Tommaso Di Noia
Technical University of Bari, Italy
,
Harald Sack
Hasso-Plattner-Institute for IT Systems Engineering, Germany
,
Tassilo Pellegrini
St. Pölten University of Applied Sciences, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 September 2013

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ISEM '13

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St. Pölten University
HPI
Compass Verlag
Wolters Kluwer
Semantic Web Company
TUG

ISEM '13: I-SEMANTICS 2013 - 9th International Conference on Semantic Systems

September 4 - 6, 2013

Graz, Austria

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Cited By

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Chaudhuri DRony MJordan SLehmann J(2019)Using a KG-Copy Network for Non-goal Oriented DialoguesThe Semantic Web – ISWC 201910.1007/978-3-030-30793-6_6(93-109)Online publication date: 17-Oct-2019
https://doi.org/10.1007/978-3-030-30793-6_6
Uzun ACoskun G(2015)Semantische Technologien für MobilfunkunternehmenCorporate Semantic Web10.1007/978-3-642-54886-4_11(145-165)Online publication date: 27-May-2015
https://doi.org/10.1007/978-3-642-54886-4_11
Uzun Avon Hoffen MKüpper AAkerkar RBassiliades NDavies JErmolayev V(2014)Enabling Semantically Enriched Data Analytics by Leveraging Topology-based Mobile Network Context OntologiesProceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)10.1145/2611040.2611084(1-6)Online publication date: 2-Jun-2014
https://dl.acm.org/doi/10.1145/2611040.2611084

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A Bayesian Approach to In-Game Win Probability in Soccer

BioPortal as a dataset of linked biomedical ontologies and terminologies in RDF

${LODsyndesis}_{IE}$ : Entity Extraction from Text and Enrichment Using Hundreds of Linked Datasets