Semantic Message Passing for Generating Linked Data from Tables

  • Varish Mulwad
  • Tim Finin
  • Anupam Joshi
Conference paper

DOI: 10.1007/978-3-642-41335-3_23

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8218)
Cite this paper as:
Mulwad V., Finin T., Joshi A. (2013) Semantic Message Passing for Generating Linked Data from Tables. In: Alani H. et al. (eds) The Semantic Web – ISWC 2013. ISWC 2013. Lecture Notes in Computer Science, vol 8218. Springer, Berlin, Heidelberg

Abstract

We describe work on automatically inferring the intended meaning of tables and representing it as RDF linked data, making it available for improving search, interoperability and integration. We present implementation details of a joint inference module that uses knowledge from the linked open data (LOD) cloud to jointly infer the semantics of column headers, table cell values (e.g., strings and numbers) and relations between columns. We also implement a novel Semantic Message Passing algorithm which uses LOD knowledge to improve existing message passing schemes. We evaluate our implemented techniques on tables from the Web and Wikipedia.

Keywords

Tables Semantic Web Linked Data Graphical Models 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Varish Mulwad
    • 1
  • Tim Finin
    • 1
  • Anupam Joshi
    • 1
  1. 1.University of Maryland, Baltimore CountyBaltimoreUSA

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