Abstract
In this paper we present a novel approach for identifying and describing the possible subtopics that can be derived from the result set of a topic-based query. Subtopic descriptions rely on the conceptual indexing of the retrieved documents, which consists of mapping the document terms into concepts of an existing thesaurus (i.e. UMLS meta-thesaurus). Subtopic identification is performed by selecting highly probable concept bigrams whose support sets are homogeneous enough. The evaluation of the method has been carried out on a real biomedical example, which demonstrates both the effectiveness and usefulness of the proposed method.
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References
Anaya-Sśnchez, H., Berlanga-Llavori, R., Pons-Porrata, A.: Retrieval of Relevant Concepts from a Text Collection. In: Borrajo, D., Castillo, L., Corchado, J.M. (eds.) CAEPIA 2007. LNCS (LNAI), vol. 4788, pp. 21–30. Springer, Heidelberg (2007)
Aronson, A.R.: Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. In: Proceeding of the AMIA Symposium 2001, pp. 17–21 (2001)
Bodenreider, O.: Lexical, Terminological, and Ontological Resources for Biological Text Mining. Text Mining for Biology and Biomedicine. Artech House (2006)
Dai, W., Srihari, R.: Minimal Document Set Retrieval. In: Herzog, O., Schek, H.-J., Fuhr, N., Chowdhury, A., Teiken, W. (eds.) Proceedings of the 14th ACM International Conference on Information and Knowledge Management, pp. 752–759. ACM, New York (2005)
Jimeno-Yepes, A., Jimenez-Ruiz, E., et al.: Assessment of diseases named entity recognition on a corpus of annotated sentences. BMC Bioinformatics 2008 9(suppl. 3), S3 (2008)
Rebholz-Schuhmann, D., et al.: Text processing through Web services: Calling Whatizit. Bioinformatics 24(2), 296–298 (2008)
Zhai, C., Cohen, W.W., Lafferty, J.D.: Beyond Independence Relevance: Methods and Evaluation Metrics for Subtopic Retrieval. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 10–17. ACM, New York (2003)
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Berlanga-Llavori, R., Anaya-Sánchez, H., Pons-Porrata, A., Jiménez-Ruiz, E. (2008). Conceptual Subtopic Identification in the Medical Domain. In: Geffner, H., Prada, R., Machado Alexandre, I., David, N. (eds) Advances in Artificial Intelligence – IBERAMIA 2008. IBERAMIA 2008. Lecture Notes in Computer Science(), vol 5290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88309-8_32
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DOI: https://doi.org/10.1007/978-3-540-88309-8_32
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