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Abstract

When modelling pieces of unstructured information, such as full text forms, it is often necessary to recognize them based on a semantic principle, through which properties of information can be derived. Since there are several semantic principles that are related to each other, the resulting properties are also mutually relevant. This relevance is called 'relativity of concepts', whose modelling is indispensible to dealing exclusively with such properties of information that are invariant under the change of the underlying semantic principles. This paper uses the self-structured semantic relationship model to account for the relativity of concepts. More specifically, a set of local views rather than a single global view are introduced to the model, which greatly enhances the flexibility of the model's expressive power. Furthermore, semantic equivalence between the view-based information structures is also formalized in the proposed model. This truns out to be useful when integrating pieces of information that are structure based on different principles

Source

International forum on information and documentation. 20(1995) no.1, S.22-30

Type

a

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Abstract

A great deal of information and knowledge is available in the form of full text, multimedia and other databases, as well as traditional information services. One of the issues of using information is to process meanings which are closely related with the sophisticated functiones such as learning, reasoning, inductive inference and problem solving. Automatic classification and intelligent access are straightforward applications and are useful when they are used togehter with thesauri and taxonomies which represent conceptual structures. Describes the basic principles and formulation of a new information model with flexible representation of meaning, and the direction of applications to advanced research of science and technology

Type

a