Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
A Sub-Symbolic Approach to Word Modelling for Domain Specific Speech Recognition
CAMP '05 Proceedings of the Seventh International Workshop on Computer Architecture for Machine Perception
A conversational agent based on a conceptual interpretation of a data driven semantic space
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
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The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of subsymbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he wants to insert in the microtheory. Experimental results involving two Cyc microtheories are also reported.