semantic representation
1.This paper makes a contrastive study of the semantic representation and pragmatic situation of negation in English and Chinese, the purpose of which is to further the study of negation in English and Chinese to improve the foreign language teaching and the cross-cultural communication.
2.This paper presents a technique for generating Chinese sentences from the interlingua used in a knowledge based machine translation project, KANT. Based on the features of Chinese language and a unification based generation formalization, it generates Chinese sentences or phrases directly from the semantic representation, which eliminates the need for intermediate syntactic structures and simplifies the generation procedure.
3.Ontology provides theoretical basis and technical support for semantic information representation and organization.
4.The Semantic Web is similarly plagued: you can never demonstrate that you have an accurate representation, but you can hope to eventually falsify it.
5.There is a weakening tendency of sound representation in semantic-phonetic complexes, mainly due to the intention of word building, characteristics of sound representation, obstacles of word building methods, influence in using words, and the influence of sound shift.
6.2.A DFG representation of basic block is designed and implemented, the representation not only expresses the semantic of Lcode sufficiently but also adapts to the need of tree matching algorithm.
7.The Semantic Web is to add a machine-readable meaning to Web pages, use ontologies for a pre-cise definition of shared terms in Web resources, make use of Knowledge Representation technologyfor automated reasoning of Web resources, and apply cooperative agent technology for informationprocessing on the Web.
8.Except representation web information, we also need intelligent process of these information, so that machine can process automatically, that is to say we need inference engine based on Semantic Web.
