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Knowledge Processing and Data Analysis: First International Conference, KONT 2007, Novosibirsk, Russia

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This volume collects the proceedings of two related international conferences on foundations and practical applications of mathematical methods of data analysis, of Formal Concept Analysis and of methods for information extraction from natural language texts. The first conference, named Knowledge - Ontology - Theory 2007 (KONT 2007), was held during September 14–16, 2007 in Novosibirsk (Russia) at the Sobolev Institute of Mathematics in cooperation with the Russian Foundation for Basic Research and the Association for Pattern Recognition and Image Analysis of the Russian Federation. The second conference, the International Conference on Knowledge Processing in Practice (KPP 2007), was held during September 28–30, 2007 in Darmstadt (Germany) at the University of Applied Sciences in cooperation with the Ernst Schr¨oder Center for Conceptual Knowledge Processing and the Darmstadt University of Technology.

The aim of both conferences was to bring together practitioners and researchers in the interdisciplinary field of mathematical and concept-based knowledge processing. Knowledge processing today spans a broad spectrum of approaches and techniques from data analysis and pattern recognition over artificial intelligence with information retrieval and machine learning to conceptual knowledge processing with its graphical tools for knowledge visualization. From a lifecycle perspective, the field of knowledge processing covers the following main stages: data collection and pre-processing, discovery of regularities, creation of subject domain theories, application of formal knowledge structures, formal reasoning and interpretation in the application domain.

At both conferences, particular emphasis was placed on the technology and experience transfer aspects between practitioners and academic researchers in order to foster mutual learning and application-oriented research and development in the area of knowledge processing based on real empirical needs.

The contributions were all refereed and the accepted papers are collected in this volume. They cover four main focus areas which should, however, not be understood as mutually exclusive. Rather, all contributions share the common foundation that conceptual structures are essential to semantically meaningful and valid representation and processing of formal knowledge structures. The main focus areas are as follows: I: Applications of Conceptual Structures, II: Concept-Based Software, III: Ontologies as Conceptual Structures and IV: Data Analysis.

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