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Discovering Semantic Relations Using Prepositional Phrases

  • Janardhana Punuru
  • Jianhua Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7661)

Abstract

Extracting semantical relations between concepts from texts is an important research issue in text mining and ontology construction. This paper presents a machine learning-based approach to semantic relation discovery using prepositional phrases. The semantic relations are characterized by the prepositions and the semantic classes of the concepts in the prepositional phrase. WordNet and word sense disambiguation are used to extract semantic classes of concepts. Preliminary experimental results are reported here showing the promise of the proposed method.

Keywords

Semantic Relation Word Sense Disambiguation Prepositional Phrase Semantic Classis Semantic Constraint 
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 2012

Authors and Affiliations

  • Janardhana Punuru
    • 1
  • Jianhua Chen
    • 1
  1. 1.Computer Science Division, School of Electrical Engineering and Computer ScienceLouisiana State UniversityBaton RougeUSA

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