SOM Clustering to Promote Interoperability of Directory Metadata: A Grid-Enabled Genetic Algorithm Approach

: Directories provide a general mechanism for describing resources and enabling information sharing within and across organizations. Directories must resolve differing structures and vocabularies in order to communicate effectively, and interoperability of the directories is becoming increasingly important. This study proposes an approach that integrates a genetic algorithm with a neural network based clustering algorithm - Self-Organizing Maps (SOM) - to systematically cluster directory metadata, highlight similar structures, recognize developing patterns of practice, and potentially promote homogeneity among the directories. The proposed approach utilizes the computing power of Grid infrastructure to improve system performance. The study also explores the feasibility of automating the SOM clustering process in a converging domain by incrementally building a stable SOM map with respect to an initial reference set. Empirical investigations were conducted on sets of Lightweight Director...

• Type: Journal
• Year: 2010
• Where: JUCS
• Authors: Lei Li, Vijay K. Vaishnavi, Art Vandenberg
• Keywords: Directory Metadata, JUCS 2010, LDAP Directory Metadata, Stable Som Map