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Improving similarity search of industrial component models

A similarity search and component model technology, which is applied to biological neural network models, computer components, character and pattern recognition, etc., can solve the problem of only changing the result list, etc., and achieve the effect of easy initialization

Pending Publication Date: 2021-11-05
DASSAULT SYSTEMES
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these techniques are not embedded in the search itself and only change the results list

Method used

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  • Improving similarity search of industrial component models
  • Improving similarity search of industrial component models
  • Improving similarity search of industrial component models

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[0066] According to a first embodiment, vectorization is performed using the bag-of-words method. In this case, after all text data has been normalized, a vocabulary reduction operation 520 is performed to keep only the highest frequency terms. Finally, the resulting tokens are vectorized using a bag-of-words representation. It is well known that in bag-of-words representations, each document is mapped onto a space where each dimension of the space corresponds to a word in the vocabulary. The coordinates of a document in each dimension are typically the TFIDF (Term Frequency - Inverse Document Frequency) of the words of that document. Alternatively, instead of TFIDF, a count of the number of occurrences of a word in a document can also be used. Vectorize similarity data by creating a column added to the attributes for each individual hashcode and filling it with 1s if a given component includes a hashcode in its similarity data column the column, otherwise fill the column w...

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Abstract

A computer implemented method for improving a similarity search of an industrial component model (12) comprises: providing a set of industrial component models, each having associated attributes and a similarity embedding (10) being an embedding of at least some of said associated attributes; receiving a similarity request using a given industrial component model as an input, the output of said similarity request being a first subset of industrial component models selected from the set of industrial component models based on the comparison between their similarity embeddings (10) and the similarity embedding of the input industrial component model; receiving a second subset of industrial component models selected by a user from said first subset of industrial component models based on an interchangeability criteria of the input industrial component model with any industrial component model of said second subset of industrial component models; associating a similarity attribute to the input industrial component model (ICM), said attribute being a unique ID defined by said similarity request and / or said second subset of industrial component models (ICMS2); and computing a new set of similarity embeddings (10).

Description

technical field [0001] The present invention relates to a computer-implemented method for improving searches of industrial component models. Background technique [0002] When performing design work, whether for mechanical objects or electronic circuits, it is often preferable to use replaceable parts. Substitutability means that a given part can be replaced by another part in the design without changing the required specifications of the final product. [0003] In this regard, identifying parts that can be used as substitutes for each other is a challenging task, but also an important one, in order to simplify sourcing and reuse parts whose behavior is known, and thus improve the reliability of the design. [0004] In the case of electronic parts, this can be done by the manufacturers themselves by defining standardized data related to the size, form and function of the part. In the case of mechanical parts, this is usually done by creating a signature for each part based...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/44G06K9/62G06N3/04G06N3/08
CPCG06F40/44G06N3/08G06N3/045G06F18/2135G06F18/23G06F18/22G06F30/27G06F2119/20G06N3/088G05B13/027G05B13/048G05B23/0281
Inventor X·格勒昂
Owner DASSAULT SYSTEMES
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