Complementing method for stair design specification default subjects based on mind map

A mind mapping and design specification technology, applied in computing, natural language data processing, special data processing applications, etc., can solve the problems of difficult subject recognition and high false detection rate, and achieve improved completion efficiency, low false detection rate, and economical human effect

Active Publication Date: 2018-10-30
XIAN UNIV OF TECH
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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for complementing the default subject of the staircase design specification based on a mind map, which solves the problem that the subject of some sentences in the staircase design specification is incomplete and difficult to identify
[0004] The invention provides a method for completing the default subject o

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  • Complementing method for stair design specification default subjects based on mind map
  • Complementing method for stair design specification default subjects based on mind map

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[0019] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] The present invention is based on the method for complementing the default subject of the staircase design specification based on the mind map, comprising the following steps:

[0021] Step 1: Obtain the specifications about staircase design from the residential building design specifications as the processing corpus, and use the dictionary-based forward maximum matching algorithm to segment the original text, and the method based on the hidden Markov model to segment the text Word strings are part-of-speech tagged to obtain the preprocessed text.

[0022] Step 2: Referring to the description format of the staircase specification in the IFC standard, comb the ontology related to the staircase design and the relationship between the ontology into a mind map, and construct the corresponding index tree.

[0023] Step 3: Use context-free ...

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Abstract

The invention provides a complementing method for stair design specification default subjects based on a mind map. According to the method, through an inheritance relation among bodies in the mind map, the missing subjects of subordinate clauses with an incomplete syntactic structure in a complex sentence can be determined and complemented, and subjects-predicates-objects in a pivotal sentence anda consecutive predicate sentence can be extracted, therefore, natural language processing can be better performed, a knowledge graph of stair building specifications is finally constructed, and automatic map review is realized. Through the method, uncertain factors possibly occurring in the map reviewing process are effectively avoided, the false detection rate is low, operation is easy, manpoweris saved, and the completion efficiency of engineering projects in the building industry is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of computer natural language processing technology, and in particular relates to a method for complementing the default subject of a staircase design specification based on a mind map. Background technique [0002] With the development of computer science and technology, various engineering fields have introduced the concept of knowledge graphs. Knowledge graphs can describe the entities in the world and the connections between entities, and provide an ability to analyze problems from the perspective of relationships. co-construction, query, sharing and reuse. Industry fields that currently use knowledge graphs include medicine, military, education, and more. However, the information construction of the construction industry is still in its infancy. A project in the construction industry first needs to be planned and designed by the design institute, and then the designed models and drawings are reviewed, a...

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Application Information

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IPC IPC(8): G06F17/27G06F17/30
CPCG06F40/211G06F40/221G06F40/289
Inventor 朱磊陈晨姚全珠黑新宏赵钦陈毅杨明松王一川
Owner XIAN UNIV OF TECH
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