Evaluating Entity Summarization Using a Game-Based Ground Truth

  • Andreas Thalhammer
  • Magnus Knuth
  • Harald Sack
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7650)

Abstract

In recent years, strategies for Linked Data consumption have caught attention in Semantic Web research. For direct consumption by users, Linked Data mashups, interfaces, and visualizations have become a popular research area. Many approaches in this field aim to make Linked Data interaction more user friendly to improve its accessibility for non-technical users. A subtask for Linked Data interfaces is to present entities and their properties in a concise form. In general, these summaries take individual attributes and sometimes user contexts and preferences into account. But the objective evaluation of the quality of such summaries is an expensive task. In this paper we introduce a game-based approach aiming to establish a ground truth for the evaluation of entity summarization. We exemplify the applicability of the approach by evaluating two recent summarization approaches.

Keywords

entity summarization property ranking evaluation linked data games with a purpose 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Andreas Thalhammer
    • 1
  • Magnus Knuth
    • 2
  • Harald Sack
    • 2
  1. 1.University of InnsbruckInnsbruckAustria
  2. 2.Hasso Plattner Institute PotsdamPotsdamGermany

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