A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Metadata domain-knowledge driven search engine in "HyperManyMedia" E-learning resources
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Visual Ontology-Based Information Retrieval System
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
Metadata as seeds for building an ontology driven information retrieval system
International Journal of Hybrid Intelligent Systems
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In this paper, we evaluate a visual search engine that is designed to solve the real problem of browsing and searching for documents in a vast repository of colleges/courses located at Western Kentucky University (WKU). The architectural design of this interface combines Formal Concept Analysis (FCA) with Semantic Factoring to decompose complex, vast concepts into their primitives in order to develop knowledge representation for the HyperManyMedia plat-form. The main objective of this study is to test: (a) the efficiency of ranking the documents using precision, and (b) the usability of the visual search engine. This approach has been implemented and used by online students at WKU.