Benchmarking Matching Applications on the Semantic Web


Ferrara, Alfio ; Montanelli, Stefano ; Noessner, Jan ; Stuckenschmidt, Heiner



DOI: https://doi.org/10.1007/978-3-642-21064-8_8
URL: https://link.springer.com/chapter/10.1007%2F978-3-...
Document Type: Conference or workshop publication
Year of publication: 2011
Book title: The Semanic Web: Research and Applications : 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, May 29 – June 2, 2011, Proceedings, Part II
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 6644
Page range: 108-122
Conference title: ESWC 2011
Location of the conference venue: Heraklion, Greece
Date of the conference: 29 May-2 June 2011
Publisher: Antoniou, Grigoris
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-642-21063-1 , 978-3-642-21064-8
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: The evaluation of matching applications is becoming a major issue in the semantic web and it requires a suitable methodological approach as well as appropriate benchmarks. In particular, in order to evaluate a matching application under different experimental conditions, it is crucial to provide a test dataset characterized by a controlled variety of different heterogeneities among data that rarely occurs in real data repositories. In this paper, we propose SWING (Semantic Web Instance Generation), a disciplined approach to the semi-automatic generation of benchmarks to be used for the evaluation of matching applications.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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