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Analysis of Semantic Networks Using Complex Networks Concepts

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Flexible Query Answering Systems (FQAS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8132))

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Abstract

In this paper we perform a preliminary analysis of semantic networks to determine the most important terms that could be used to optimize a summarization task. In our experiments, we measure how the properties of a semantic network change, when the terms in the network are removed. Our preliminary results indicate that this approach provides good results on the semantic network analyzed in this paper.

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References

  1. Borgatti, S.P.: Identifying sets of key players in a network. Computational, Mathematical and Organizational Theory 12(1), 21–34 (2006)

    Article  MATH  Google Scholar 

  2. Shetty, J., Adibi, J.: Discovering important nodes through graph entropy the case of enron email database. In: LinkKDD 2005: Proceedings of the 3rd International Workshop on Link Discovery, pp. 74–81. ACM, New York (2005)

    Chapter  Google Scholar 

  3. Latora, V., Marchiori, M.: How the science of complex networks can help developing strategies against terrorism. Chaos, Solitons and Fractals 20(1), 69–75 (2003)

    Article  Google Scholar 

  4. Ortiz-Arroyo, D.: Discovering Sets of Key Players in Social Networks. In: Abraham, A., Aboul-Ella, H., Vaclav, S. (eds.) Computational Social Network Analysis: Computer Communications and Networks, pp. 27–47. Springer, London (2010)

    Chapter  Google Scholar 

  5. Huang, C., Tian, Y., Zhou, Z., Ling, C.X., Huang, T.: Keyphrase Extraction using Semantic Networks Structure Analysis. In: ICDM 2006, Sixth International Conference on Data Mining, pp. 275–284. IEEE (2006)

    Google Scholar 

  6. Steyvers, M., Tenenbaum, J.B.: The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth. In: Cognitive Science, vol. 29, pp. 41–78 (2005)

    Google Scholar 

  7. Litvak, M., Last, M.: Graph-Based Keyword Extraction for Single-Document Summarization. In: Coling 2008: Proceedings of the Workshop on Multi-Source Multilingual Information Extraction and Summarization, pp. 17–24 (2008)

    Google Scholar 

  8. Volchenkov, D., Blanchard, P.: Discovering Important Nodes Through Graph Entropy Encoded in Urban Space Syntax. In: eprint arXiv:0709.4415, ARXIV (2007)

    Google Scholar 

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Ortiz-Arroyo, D. (2013). Analysis of Semantic Networks Using Complex Networks Concepts. In: Larsen, H.L., Martin-Bautista, M.J., Vila, M.A., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science(), vol 8132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40769-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-40769-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40768-0

  • Online ISBN: 978-3-642-40769-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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