Meaning Representation with Multilayered Extended Semantic Networks

Hermann Helbig, University of Hagen

Multilayered Extended Semantic Networks (MultiNet) have been developed along the general line of semantic networks (SN) for the semantic representation of large stocks of natural language information. They allow for a very differentiated meaning representation of natural language expressions and an adequate modelling of cognitive structures. MultiNet is permanently used for a fully formal semantic characterization of lexemes in a large computational lexicon and as a semantic interlingua in natural language interfaces and question-answering systems. Apart from the structural information defined by relations and functions over the nodes of the SN (which is a feature common to all SN), MultiNet is characterized by embedding its conceptual nodes into a multidimensional space of layer attributes and differentiating between an intensional and a preextensional level within the knowledge representation itself. The paper gives an overview of the expressional means of MultiNet and their use for representing linguistic knowledge and world knowledge.

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