A methodology for semantic integration of metadata in bioinformatics data sources
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Taxonomy alignment for interoperability between heterogeneous virtual organizations
Expert Systems with Applications: An International Journal
Semantic business process integration based on ontology alignment
Expert Systems with Applications: An International Journal
A structure-based clustering on LDAP directory information
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
A Clustering-Driven LDAP Framework
ACM Transactions on the Web (TWEB)
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Directories provide a well-defined general mechanism for describing organizational resources such as the resources of the Internet2 higher education research community and the Grid community. Lightweight directory access protocol directory services enable data sharing by defining the information's metadata (schema) and access protocol. Interoperability of directory information between organizations is increasingly important. Improved discovery of directory schemas across organizations, better presentation of their semantic meaning, and fast definition and adoption (reuse) of existing schemas promote interoperability of information resources in directories. This paper focuses on the discovery of related directory object class schemas and in particular on clustering schemas to facilitate discovering relationships and so enable reuse. The results of experiments exploring the use of self-organizing maps (SOMs) to cluster directory object classes at a level comparable to a set of human experts are presented. The results show that it is possible to discover the values of the parameters of the SOM algorithm so as to cluster directory metadata at a level comparable to human experts