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Using Suffix Arrays for Efficiently Recognition of Named Entities in Large Scale

  • Benjamin Adrian
  • Sven Schwarz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6882)

Abstract

In this paper, we present an efficient comparison of text and RDF data for recognizing named entities. Here, a named entity is a text sequence that refers to a URI reference within an RDF graph. We present suffix arrays as representation format for text and a relational database scheme to represent Semantic Web data. Using these representation facilities performs a named entity recognition in linear time complexity and without the requirement to hold names of existing entities in memory. Both is needed to implement a named entity recognition on the scale of for instance the DBpedia database.

Keywords

Noun Phrase Resource Description Framework Entity Recognition Suffix Array String Comparison 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Benjamin Adrian
    • 1
  • Sven Schwarz
    • 1
  1. 1.Knowledge Management DepartmentDFKI GmbHKaiserslauternGermany

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