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Developing a Sustainable Platform for Entity Annotation Benchmarks

  • Michael RöderEmail author
  • Ricardo Usbeck
  • Axel-Cyrille Ngonga Ngomo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)

Abstract

The existing entity annotation systems that drive the extraction of RDF from unstructured data are hard to compare as their evaluation relies on different data sets and measures. We developed GERBIL, an evaluation framework for semantic entity annotation that provides developers, end users and researchers with easy-to-use interfaces for the agile, fine-grained and uniform evaluation of 9 annotation tools on 11 different data sets within 6 different experimental settings on 6 different measures. In this paper, we present the developed interfaces, data flows and data structures. Moreover, we show how GERBIL supports a better reproducibility and archiving of experimental results.

Notes

Acknowledgments

Parts of this work were supported by the FP7 project GeoKnow (GA No. 318159) and the BMWi project SAKE (GA No. 01MD15006E).

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Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Michael Röder
    • 1
    Email author
  • Ricardo Usbeck
    • 1
  • Axel-Cyrille Ngonga Ngomo
    • 1
  1. 1.University of LeipzigLeipzigGermany

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