Ontology Learning for the Semantic Web
IEEE Intelligent Systems
KIM – a semantic platform for information extraction and retrieval
Natural Language Engineering
Supervised learning of an ontology alignment process
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
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A growing number of organizational enterprises (e.g. government, industry and academia) are adopting and utilizing the Enterprise Architecture (EA) model within their respective domains. The multi-tiered Federal Enterprise Architecture Framework (FEAF) is an example of the expanding role of interoperable web services that span organizational domains (e.g. Navy, DoD, Federal and others). To enable such EA services, lexicon management and associated semantic alignment capabilities are an emerging requirement. The purpose of this paper is to report an initial assessment of currently available tools that in principle facilitate the implementation of a much needed semantic alignment process that helps address this emerging requirement for enterprise-wide lexicon services.