Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Special Issue on Benchmarking Linked Data
Subtitle: Homepage → https://db.disi.unitn.eu/pages/EMBench/
Guest editors: Axel-Cyrille Ngonga Ngomo, Irini Fundulaki and Anastasia Krithara
Article type: Research Article
Authors: Ioannou, Ekaterinia; * | Velegrakis, Yannisb
Affiliations: [a] Open University of Cyprus, Cyprus | [b] University of Trento, Italy. E-mail: velgias@disi.unitn.eu
Correspondence: [*] Corresponding author. E-mail: ekaterini.ioannou@ouc.ac.cy.
Abstract: Matching-related methods, i.e., entity resolution, entity search, or detecting evolution of entities, are essential parts in a variety of applications. The specific research area contains a plethora of methods focusing on efficiently and effectively detecting whether two different pieces of information describe the same real world object or, in the case of entity search and evolution, retrieving the entities of a given collection that best match the user’s description. A primary limitation of the particular research area is the lack of a widely accepted benchmark for performing extensive experimental evaluation of the proposed methods, including not only the accuracy of results but also scalability as well as performance given different data characteristics. This paper introduces EMBench++, a principled system that can be used for generating benchmark data for the extensive evaluation of matching-related methods. Our tool is a continuation of a previous system, with the primary contributions including: modifiers that consider not only individual entity types but all available types according to the overall schema; techniques supporting the evolution of entities; and mechanisms for controlling the generation of not single data sets but collections of data sets. We also illustrate collections of entity sets generated by EMBench++ and discuss the benefits of using our system through the results of an experimental evaluation.
Keywords: Data integration, matching-related methods, benchmarking data, benchmark tool
DOI: 10.3233/SW-180331
Journal: Semantic Web, vol. 10, no. 2, pp. 435-450, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl