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Titlebook: Conceptual Structures: Integration and Interfaces; 10th International C Uta Priss,Dan Corbett,Galia Angelova Conference proceedings 2002 Sp

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Text Schema Mining Using Graphs and Formal Concept AnalysisThe topics are interconnected in a conceptual graph called the topic map. Results of processing two such structures with the natural transformation and an informal one are reported. Some notes on the implementation in the . prototype are given.
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Processing Negation in NL Interfaces to Knowledge Basestion of types. Thus the paper presents an interface for NL understanding and original techniques for application of CG operations (projection and generalization) as means for obtaining a more ”natural” answer to the user’s negative questions.
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Building Concept Lattices by Learning Concepts from RDF Graphs Annotating Web Documents concepts, organize the documents of the organization’s Intranet and then improve Information Retrieval. The RDF Model is close to the Simple Conceptual Graph Model; our method can be thus generalized to Simple Conceptual Graphs.
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Daniel Parrochia,Pierre Neuvilleppings between relational contexts induce mappings between the standard concept graphs of the relational contexts which can finally be generalized to information transferring mappings between simple concept graphs.
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https://doi.org/10.1057/9780230373150ity of interpretation and manipulation of text data. These include, among others, question answering, information retrieval with structured queries, homepage finding, information retrieval from mobile devices, recommender systems, and mining of specialised collections. As a result, much of the curre
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