COMPLEX-ADAPTIVE SYSTEM FOR PROVIDING A FACETED CLASSIFICATION

摘要

A complex-adaptive system is described for providing a faceted classification of a domain of information. A dimensional concept taxonomy classifying a domain may be constructed from a faceted data set comprising facets, facet attributes, and facet attribute hierarchies. An enhanced method of faceted classification provides the taxonomy which assigns facet attributes to objects of the domain to be classified in accordance with concepts (defined using the facet attributes) that ascribe meaning to the objects. Further the taxonomy expresses dimensional concept relationships between concept definitions in accordance with the faceted data set. The complex-adaptive system selects dimensional concept taxonomy information to facilitate varying the faceted data set and subsequent iterations of the taxonomy. The complex-adaptive system may involve a machine-based approach using statistical analysis of source data structures or user interactions with the taxonomy to provide the feedback. Computer system, method and software aspects are provided.