Discovering semantic relations using prepositional phrases

Authors:
Janardhana Punuru;Jianhua Chen
Affiliations:
Computer Science Division, School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA;Computer Science Division, School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA
Venue:
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Year:
2012

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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.