Conceptual structures: current research and practice
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Conceptual graphs summary representing and reasoning with set references and numerical quantifiers extending conceptual structures - representation issues and reasoning operations the conceptual programming environment towards a deep-knowledge semantics for conceptual graphs compiled hierarchical retrieval induction on conceptual graphs - finding common generalizations and compatible projections a framework for negotiating conceptual structures normalizing conceptual graphs a neural-network approach to implementing conceptual graphs temporal intervals conceptual graphs and modalities extending the conceptual graph model for differentiating temporal and non-temporal knowledge analyzing multiple views of software requirements adding semantics to semantic data models analysis and generation of Italian sentences representing word senses for semantic analysis conceptual parsing using the situation data model to construct a conceptual basis set conceptual graphs as a framework for text retrieval an analogical tool - based on evaluations of partial correspondences linear forms for conceptual structures.