Abstract
In this chapter, we present the experimental framework we have designed for a critical assessment of blocking algorithms. In particular, we describe the datasets and the measures we employed to study the behavior of the blocking algorithms under different semantic and structural characteristics of entity descriptions in the Linked Open Data (LOD) cloud. Then, we analyze the quality and performance of the evaluated blocking techniques, taking into consideration the specific features of each dataset. Finally, we present the results of blocking when different kinds of links, other than owl:sameAs, are used as ground truth and conclude with a discussion of the lessons learned from this analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Christophides, V., Efthymiou, V., Stefanidis, K. (2015). Experimental Evaluation of Blocking Algorithms. In: Entity Resolution in the Web of Data. Synthesis Lectures on Data, Semantics, and Knowledge. Springer, Cham. https://doi.org/10.1007/978-3-031-79468-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-031-79468-1_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-79467-4
Online ISBN: 978-3-031-79468-1
eBook Packages: Synthesis Collection of Technology (R0)eBColl Synthesis Collection 6