Text mining: intermediate forms on knowledge representation

In this paper we review the main intermediate forms proposed in text mining, and we brie∞y study some fuzzy counterparts. The concept of intermediate form applies to any knowledge representation employed to represent in a structured way the semantic content of a text corpus. Intermediate forms play a central role in the text mining process since it is necessary to transform plain text into a form in order to apply mining techniques. Since the semantics of text use to be imprecise, the use of fuzzy intermediate forms seems to be a natural solution in many cases. We discuss about fuzzy intermediate forms and the corresponding fuzzy text mining techniques that may be applicable on them.

[1]  W. B. Cavnar,et al.  Using An N-Gram-Based Document Representation With A Vector Processing Retrieval Model , 1994, TREC.

[2]  D. Kraft,et al.  Fuzzy Sets and Generalized Boolean Retrieval Systems , 1983, Int. J. Man Mach. Stud..

[3]  William F. Punch,et al.  Automated Concept Extraction From Plain Text , 1998 .

[4]  Philippe Mulhem,et al.  Fuzzy Conceptual Graphs for Matching Images of Natural Scenes , 2001, IJCAI.

[5]  Daniel Sánchez,et al.  Acquisition of Fuzzy Association Rules from Medical Data , 2002 .

[6]  Ramakrishnan Srikant,et al.  Discovering Trends in Text Databases , 1997, KDD.

[7]  Didier Dubois,et al.  Readings in Fuzzy Sets for Intelligent Systems , 1993 .

[8]  Romaric Besançon,et al.  Text Mining, knowledge extraction from unstructured textual data , 1998 .

[9]  R. Schank,et al.  Inside Computer Understanding: Five Programs Plus Miniatures , 1982 .

[10]  M. Klemettinen,et al.  Applying Data Mining Techniques in Text Analysis , 1997 .

[11]  Ido Dagan,et al.  Knowledge Discovery in Textual Databases (KDT) , 1995, KDD.

[12]  Yehuda Lindell,et al.  Text Mining at the Term Level , 1998, PKDD.

[13]  Kalervo Järvelin,et al.  Fuzzy translation of cross-lingual spelling variants , 2003, SIGIR.

[14]  西山 邦彦 AI(Artificial Intelligence)への道程 : 論理学的観点から , 1986 .

[15]  S. K. Morton Conceptual graphs and fuzziness in artificial intelligence , 1987 .

[16]  John F. Sowa,et al.  Conceptual Structures: Information Processing in Mind and Machine , 1983 .

[17]  Chutima Boonthum,et al.  Paraphrasing Recognition through Conceptual Graph , 2003 .