Abstract
In this paper, we present a relation mining and visualization framework to identify important semi-structured information components using semantic and linguistic analysis of text documents. The novelty of the paper lies in identifying key snippet from text to validate the interaction between a pair of entities. The extracted information components are exploited to generate semantic network which provides distinct user perspectives and allows navigation over documents with similar information components. The efficacy of the proposed framework is established through experiments carried out on biomedical text documents extracted through PubMed search engine.
Chapter PDF
References
Gaizauskas, R., Demetriou, G., Artymiuk, P.J., Willett, P.: Protein Structures and Information Extraction from Biological Texts: the PASTA System. Bioinformatics 19(1), 135–143 (2003)
Ono, T., Hishigaki, H., Tanigami, A., Takagi, T.: Automated Extraction of Information on Protein-Protein interactions from the Biological Literature. Bioinformatics 17(2), 155–161 (2001)
Plaisant, C., Fekete, J.-D., Grinsteinn, G.: Promoting Insight-based Evaluation of Visualizations: From Contest to Benchmark Repository. IEEE Transactions on Visualization and Computer Graphics 14(1), 120–134 (2008)
Rinaldi, F., Scheider, G., Andronis, C., Persidis, A., Konstani, O.: Mining Relations in the GENIA Corpus. In: Proceedings of the 2nd European Workshop on Data Mining and Text Mining for Bioinformatics, Pisa, Italy, pp. 61–68 (2004)
Sekimizu, T., Park, H.S., Tsujii, J.: Identifying the Interaction between Genes and Genes Products based on Frequently Seen Verbs in Medline Abstract. Genome Informatics 9, 62–71 (1998)
Thomas, J., Milward, D., Ouzounis, C., Pulman, S., Carroll, M.: Automatic Extraction of Protein Interactions from Scientific Abstracts. In: Pacific Symposium on Biocomputing, pp. 538–549 (2000)
Zheng, H.-T., Borchert, C., Kim, H.-G.: Exploiting Gene Ontology to Conceptualize Biomedical Document Collections. In: Domingue, J., Anutariya, C. (eds.) ASWC 2008. LNCS, vol. 5367, pp. 375–389. Springer, Heidelberg (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abulaish, M., Jahiruddin, Dey, L. (2009). A Relation Mining and Visualization Framework for Automated Text Summarization. In: Chaudhury, S., Mitra, S., Murthy, C.A., Sastry, P.S., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2009. Lecture Notes in Computer Science, vol 5909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11164-8_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-11164-8_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11163-1
Online ISBN: 978-3-642-11164-8
eBook Packages: Computer ScienceComputer Science (R0)