Classifying instances into lexical ontology concepts using latent semantic analysis

@article{Thongkrau2010ClassifyingII,
  title={Classifying instances into lexical ontology concepts using latent semantic analysis},
  author={Theerayut Thongkrau and Pattarachai Lalitrojwong},
  journal={2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)},
  year={2010},
  volume={1},
  pages={66-70}
}
A lexical ontology is useful as the basic knowledge base in artificial intelligence and computational linguistics application. However, it is insufficient to recognize only existing instances for each concept. Adding new instances into the lexical ontology will expand knowledge in the system. In this paper, we propose an efficient unsupervised instance population system that classifies new instances into a corresponding lexical ontology concept. Compared to previous related works, it does not… CONTINUE READING

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  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
  • 2011
VIEW 6 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Addressing ontologybased question answering with collections of user queries

F. Oscar, I. Ruen, F. Sergio, V. J. Luise
  • Information Processing & Management, vol. 45, no. 2, 2009, pp. 175- 188.
  • 2009
VIEW 1 EXCERPT

Learning by Googling

  • SIGKDD Explorations
  • 2004
VIEW 2 EXCERPTS

The Google Similarity Distance

  • IEEE Transactions on Knowledge and Data Engineering
  • 2004
VIEW 1 EXCERPT

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