Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Analysis of social communities with iceberg and stability-based concept lattices
ICFCA'08 Proceedings of the 6th international conference on Formal concept analysis
Social-Based Conceptual Links: Conceptual Analysis Applied to Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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This paper advocates the use of Formal Concept Analysis and Galois lattices for complex systems analysis. This method provides an overview of a system by indicating its main areas of interest as well as its level of specificity/generality. Moreover, it proposes possible entry points for navigation by identifying the most significant elements of the system. Automatic filtering of outliers is also provided. This methodology is generic and may be used for any type of complex systems. In this paper, it is applied to theTopic Map formalism which can be used in the context of the Semantic Web to describe any kind of data as well as ontologies. The proposed Conceptual and Spatial Footprints allow the comparison of Topic Maps both in terms of content and structure. Significant concepts and relationships can be identified, as well as outliers; this method can be used to compare the underlying ontologies or datasets as illustrated in an experiment.