Database Group Leipzig (https://old.dbs.uni-leipzig.de)

FEVER

FEVER - Framework for EValuating Entity Resolution

FEVER is a new evaluation platform for entity resolution approaches. The modular structure of the FEVER framework supports the incorporation or reconstruction of many previously proposed approaches for entity resolution. A distinctive feature of FEVER is that it not only evaluates traditional measures such as precision and recall but also the effort for configuring (e.g., parameter tuning, training) a good entity resolution approach.

Architecture

The above figure illustrates the architecture of FEVER consisting of modules for the definition and execution of entity resolution approaches or so-called match workflows. A GUI-based workflow editor allows to interactively specify match workflows utilizing operator trees. The FEVER runtime executes a specified workflow and, thus, generates evaluation data.

Comparative evaluation of entity resolution approaches with FEVER

Analysis of entity resolution publications

For our comparative evaluation of entity resolution approaches in [1] [1] we have analyzed numerous research publications w.r.t. their evaluation of entity resolution approaches. The complete list can be found here [2].

Datasets

The datasets used in the evaluation can be downloaded here [3]

Publications

PDF [4]
further information [5]
Google Scholar [6]
[7]Köpcke, H. [8]
Object Matching on Real-world Problems [9]
Dissertation, Universität Leipzig
2014-05 [10]
PDF [11]

Google Scholar [12]
[13]Köpcke, H. [14]; Thor, A. [15]; Rahm, E. [16]
Evaluation of entity resolution approaches on real-world match problems [17]
Proc. 36th Intl. Conference on Very Large Databases (VLDB) / Proceedings of the VLDB Endowment 3(1), 2010
2010-09 [18]
PDF [19]

Google Scholar [20]
[21]Thor, A. [22]
Toward an adaptive String Similarity Measure for Matching Product Offers [23]
Proc. GI-Workshop - Informationsintegration in Service-Architekturen, 2010
2010-09 [24]
PDF [25]
further information [26]
Google Scholar [27]
[28]Köpcke, H. [29]; Thor, A. [30]; Rahm, E. [31]
Learning-based approaches for matching web data entities [32]
IEEE Internet Computing 14(4), 2010
2010-07 [33]
PDF [34]

Google Scholar [35]
[36]Köpcke, H. [37]; Thor, A. [38]; Rahm, E. [39]
Comparative evaluation of entity resolution approaches with FEVER [40]
Proc. 35th Intl. Conference on Very Large Databases (VLDB), 2009 (demo)
2009-08 [41]

Contact/Project Members


Source URL:
https://old.dbs.uni-leipzig.de/en/research/projects/data_integration/fever