Resources in virtual organizations are classified based on their local taxonomies. However, heterogeneity between these taxonomies is a serious problem for efficient cooperation processes (e.g., knowledge sharing and querying-based interactions). In order to overcome this problem, we propose a novel framework based on aligning the taxonomies of virtual organizations. Thereby, the best mapping between two organization taxonomies has to be discovered to maximize the summation of a set of partial similarities between concepts in the taxonomies. We can consider two levels of alignment processes; (i) intra-alignment in a virtual organization for building an organizational taxonomy and (ii) inter-alignment between organizational taxonomies. Particularly, for intra-alignment, features extracted from resources are exploited to enhance the precision of similarity measurement between concepts. For experimentation, twelve virtual organizations have been built with different local taxonomies. The...
Jason J. Jung