Abstract
In this paper, we present a mechanism to deal with short text structures in relational databases. Text fields are transformed into a special knowledge representation named AP-structure based on the Apriori algorithm of the mining area. Once the abstract data type is obtained, the text fields can be summarized, mined, and queried in a easy way. The operations to query these fields are the main aim of this paper.
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References
Agrawal, R., Imielinski, T., Swami, A.: Mining Association rules between set of items in large databases. In: Proceedings of ACM SIGMOD Conference, Washington DC, USA (May 1993)
Agrawal, R., Srikant, R.: Fast Algorithms for mining Association rules. In: Proceedings of VLDB, Santiago, Chile (September 1994)
Berzal, F., Cubero, J.C., Marín, N., Serrano, J.M.: TBAR: An efficient method for association rule mining in relational databases. Data and Knowledge Engineering 37(1), 47–64 (2001)
Celko, J.: SQL for smarties. In: Advanced SQL Programming. Morgan Kaufmann, San Francisco (2005)
Justicia, C., Martín-Bautista, M.J., Sánchez, D., Vila, M.A.: Text Mining: Intermediate Forms for Knowledge Representation. In: Proceedings of the conference Eusflat 2005, Barcelona, Spain, September 2005, pp. 1082–1087 (2005)
Martín-Bautista, M.J., Prados, M., Vila, M.A., Martínez-Folgoso, S.: A knowledge representation for short texts based on frequent itemsets. In: Proceedings of the 11th Conference of Information Processing and Management of Uncertainty (IPMU), Paris (July 2006) (to appear)
Mack, R., Hehenberger, M.: Text-based knowledge discovery: Search and mining of life-sciences documents. Drug Discovery Today 7(suppl. 11) (2002)
Prados, M., Peña, C., Prados-Suárez, B., Vila, M.A.: Generation and use of one ontology for intelligent information retrieval from electronic health medical record. In: 8th International Conference on Enterprise Information Systems, Cyprus (May 2006) (to appear)
Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)
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Marín, N., Martín-Bautista, M.J., Prados, M., Vila, M.A. (2006). Enhancing Short Text Retrieval in Databases. In: Larsen, H.L., Pasi, G., Ortiz-Arroyo, D., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2006. Lecture Notes in Computer Science(), vol 4027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11766254_52
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DOI: https://doi.org/10.1007/11766254_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34638-8
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