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An Ontology-Based Approach to Extracting Semantic Relations from Descriptive Text

  • Da Huang
  • Wei Hu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 406)

Abstract

Linked Data have advantages over plain text, as data are organized in relations between information, which is convenient for learning and reasoning. However, most plain text with valuable information has not been converted into Linked Data form. Thus, we propose an ontology-based method to extract semantic relations from descriptive text about entities. Moreover, we conduct our experiment on the DBpedia dataset and design an automatic methodology to evaluate our ontology-based method as well as an intuitive method. As a result, we find out that our ontology-based method performs better than the intuitive one in general. At last, we analyze the results, and put forward our opinions on the difference between the two methods’ performance.

Keywords

Semantic Relation Link Data Dependency Graph Descriptive Text Parse Tree 
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 2013

Authors and Affiliations

  • Da Huang
    • 1
  • Wei Hu
    • 1
  1. 1.State Key Laboratory for Novel Software TechnologyNanjing UniviersityChina

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