Hierchical visual structure of generating semantic network

A technology of semantic network and semantic generation, which is applied in the field of data processing, and can solve problems such as inconvenient operation, proportional reduction, and inability to read text clearly

Inactive Publication Date: 2005-08-24
IBM CN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the display is reduced in this way, the displayed text cannot be seen clearly, so it is inconvenient to operate
Moreover, because important and unimportant concepts or relationships are reduced in the same proportion, it is difficult for users to select desired content for step-by-step and gradual browsing

Method used

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  • Hierchical visual structure of generating semantic network
  • Hierchical visual structure of generating semantic network
  • Hierchical visual structure of generating semantic network

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Embodiment Construction

[0015] Various preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0016] A Method for Generating a Visual Hierarchy of Semantic Networks

[0017] The present invention provides a method for generating a visualized hierarchical structure of a semantic network. In order to better understand the present application, before describing the embodiments of the present invention, some terms used therein are firstly explained.

[0018] Concept set (concept set): is a semantic set C={c 1 ,...,c n}, where each element in C is a specific semantic object, which is called a concept or a concept item, for example, the elements of a concept set can be a person's name, a place name, and so on.

[0019] Relation set (relation set): relation set R={r 1 ,...,r m} is a specific predicate (relation type) to determine the semantic connection between two conceptual items, called a relation item or relation type, for e...

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PUM

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Abstract

This invention provides a method of visual layer structure of semantic producing network and device, the method of browsing semantic network and semantic network browse. The relating semantic network includes many ideas and the relation examples that connect two ideas. And the method includes: according to the connection relation of the ideas in the semantic network, assure the similarity of the two ideas; orderly unite the ideas with high similarity in order to form the visual layer structure of the semantic network.

Description

technical field [0001] The invention relates to data processing technology, in particular to the technology of using computer to carry out layered visualization processing on semantic network. Background technique [0002] Semantic network is an important knowledge representation method used in artificial intelligence and knowledge engineering, and is widely used to define and describe domain knowledge. A general semantic network consists of nodes and arcs (connections), where nodes represent events and concepts, and arcs represent relationships between nodes. Figure 1A shows an example of a visualized semantic network, which includes multiple concepts (represented by nodes such as triangles, squares, pentagons, and polygons in the figure), and connections between concepts (represented by lines in the figure ). [0003] The semantic network has the following advantages: 1. It has strong expressive ability. It can express the binary relationship in the predicate logic, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F7/00G06F17/30G06N5/00G06N5/02
CPCG06N5/02
Inventor 刘世霞苏中潘越张俐
Owner IBM CN
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