MICROCONCEPTUAL-KNOWLEDGE SPREADING IN FUNGRAMKB

摘要

In Artificial Intelligence, the main problem in the successful development of natural language understanding systems lies on the lack of an extensive common-sense knowledge base. Common sense is mainly made up of semantic and procedural knowledge, which FunGramKB stores in the form of meaning postulates and cognitive macrostructures respectively. The objective of this paper is to describe the reasoner running on the ontology with the aim of minimizing redundancy as well as maximizing informativeness in the semantic knowledge repository of FunGramKB.