research-article

WETSUIT: an efficient mashup tool for searching and fusing web entities

Authors:

Stefan Endrullis,

Andreas Thor,

Erhard RahmAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 5, Issue 12

Pages 1970 - 1973

https://doi.org/10.14778/2367502.2367550

Published: 01 August 2012 Publication History

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Abstract

We demonstrate a new powerful mashup tool called WETSUIT (Web EnTity Search and fUsIon Tool) to search and integrate web data from diverse sources and domain-specific entity search engines. WETSUIT supports adaptive search strategies to query sets of relevant entities with a minimum of communication overhead. Mashups can be composed using a set of high-level operators based on the Java-compatible language Scala. The operator implementation supports a high degree of parallel processing, in particular a streaming of entities between all data transformation operations facilitating a fast presentation of intermediate results. WETSUIT has already been applied to solve challenging integration tasks from different domains.

References

[1]

S. Endrullis, A. Thor, and E. Rahm. Evaluation of Query Generators for Entity Search Engines. In Int. Workshop USETIM, 2009.

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[2]

S. Endrullis, A. Thor, and E. Rahm. Entity Search Strategies for Mashup Applications. In ICDE, pages 66--77, 2012.

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[3]

G. Lorenzo et al. Data Integration in Mashups. SIGMOD Record, 38(1):59--66, 2009.

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D. L. Phuoc, A. Polleres, M. Hauswirth, G. Tummarello, and C. Morbidoni. Rapid Prototyping of Semantic Mash-ups through Semantic Web Pipes. In WWW, pages 581--590, 2009.

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D. E. Simmen, M. Altinel, V. Markl, S. Padmanabhan, and A. Singh. Damia: Data Mashups for Intranet Applications. In SIGMOD, pages 1171--1182, 2008.

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A. Thor, D. Aumueller, and E. Rahm. Data integration support for mashups. In Int. Workshop on Information Integration on the Web, 2007.

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A. Thor and E. Rahm. CloudFuice: A Flexible Cloud-Based Data Integration System. In ICWE, pages304--318, 2011.

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Kaoutar LAbderrahim G(2019)Global similarity based ontology to enhance the quality of big and distributed RDF dataProceedings of the 4th International Conference on Smart City Applications10.1145/3368756.3369092(1-4)Online publication date: 2-Oct-2019
https://dl.acm.org/doi/10.1145/3368756.3369092
Kaoutar LAbderrahim GKudagba F(2018)Semantic Querying Big and Distributed RDF DataProceedings of the 3rd International Conference on Smart City Applications10.1145/3286606.3286859(1-5)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.1145/3286606.3286859

WETSUIT: an efficient mashup tool for searching and fusing web entities
1. Information systems
  1. Data management systems

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cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 5, Issue 12

August 2012

340 pages

ISSN:2150-8097

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VLDB Endowment

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Published: 01 August 2012

Published in PVLDB Volume 5, Issue 12

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Kaoutar LAbderrahim G(2019)Global similarity based ontology to enhance the quality of big and distributed RDF dataProceedings of the 4th International Conference on Smart City Applications10.1145/3368756.3369092(1-4)Online publication date: 2-Oct-2019
https://dl.acm.org/doi/10.1145/3368756.3369092
Kaoutar LAbderrahim GKudagba F(2018)Semantic Querying Big and Distributed RDF DataProceedings of the 3rd International Conference on Smart City Applications10.1145/3286606.3286859(1-5)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.1145/3286606.3286859

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