2011•International Conference on Mathematical and Computational Methods in Science and EngineeringRequires access

Plenary lecture 5: knowledge visualization - approaches and application

Wladimir Bodrow

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Abstract

Knowledge Visualization is rather a new area of research and development. Its appearance is caused by the fact that the range of well investigated and established concepts of Data visualization and Information visualization implemented and integrated in different standard tools and applications cannot provide an adequate support for various activities and/or decision making. But exact this is the requirement on modern computing tools and approaches they have to satisfy in the long list of applications in business, administrations etc. The popular visualization of Data and Information in tables, diagrams, and other medial graphical techniques is focused and presupposes the professional knowledge by user in the application area e.g. to be able to make a decision. To improve these visualization approaches and platforms in order to enable the knowledge visualization one has to analyze origin of it and its role in different processes. Outgoing point of such analysis is the subdivision of knowledge into declarative and procedural ones. The first is focused on description of objects, events etc. and its visualization is similar to those of Data and Information. The procedural knowledge is focused on activities, handling etc. and its visualization is consequently differs from those of Data or Information visualization. Presented paper describes the decisive aspects of professional knowledge in the context of its visualization and the utilization of this knowledge in selected application areas.

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What this paper is about

Knowledge Visualization is rather a new area of research and development. Its appearance is caused by the fact that the range of well investigated and established concepts of Data visualization and Information visualization implemented and integrated in different standard tools and applications cannot provide an adequate support for various activities and/or decision making. But exact this is the requirement on modern computing tools and approaches they have to satisfy in the long list of applications in business, administrations etc. The popular visualization of Data and Information in tables, diagrams, and other medial graphical techniques is focused and presupposes the professional knowledge by user in the application area e.g. to be able to make a decision. To improve these visualization approaches and platforms in order to enable the knowledge visualization one has to analyze origin of it and its role in different processes. Outgoing point of such analysis is the subdivision of knowledge into declarative and procedural ones. The first is focused on description of objects, events etc. and its visualization is similar to those of Data and Information. The procedural knowledge is focused on activities, handling etc. and its visualization is consequently differs from those of Data or Information visualization. Presented paper describes the decisive aspects of professional knowledge in the context of its visualization and the utilization of this knowledge in selected application areas.

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Available abstract

Knowledge Visualization is rather a new area of research and development. Its appearance is caused by the fact that the range of well investigated and established concepts of Data visualization and Information visualization implemented and integrated in different standard tools and applications cannot provide an adequate support for various activities and/or decision making. But exact this is the requirement on modern computing tools and approaches they have to satisfy in the long list of applications in business, administrations etc. The popular visualization of Data and Information in tables, diagrams, and other medial graphical techniques is focused and presupposes the professional knowledge by user in the application area e.g. to be able to make a decision. To improve these visualization approaches and platforms in order to enable the knowledge visualization one has to analyze origin of it and its role in different processes. Outgoing point of such analysis is the subdivision of knowledge into declarative and procedural ones. The first is focused on description of objects, events etc. and its visualization is similar to those of Data and Information. The procedural knowledge is focused on activities, handling etc. and its visualization is consequently differs from those of Data or Information visualization. Presented paper describes the decisive aspects of professional knowledge in the context of its visualization and the utilization of this knowledge in selected application areas.

Key concepts: Visualization, Computer science, Information visualization, Context (archaeology), Data visualization, Visual analytics, Data science, Point (geometry)

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