发明名称 |
DESCRIPTION BASED MODEL SEARCH |
摘要 |
Methods for product data management and corresponding systems and computer-readable mediums. A method includes receiving a model library comprising a plurality of library objects, identifying a plurality of relevant words and a plurality of word tuples from the description sentences in the plurality of library objects, determining a word frequency for each of the plurality of relevant words in the model library, determining a tuple frequency for each of the plurality of word tuples in the model library, determining a conditional probability for a first relevant word to occur in a description sentence with a second relevant word for each of the plurality of relevant words, and creating a controlled vocabulary for the model library. |
申请公布号 |
US2016140183(A1) |
申请公布日期 |
2016.05.19 |
申请号 |
US201414542907 |
申请日期 |
2014.11.17 |
申请人 |
Siemens Product Lifecycle Management Software Inc. |
发明人 |
Witte Martin |
分类号 |
G06F17/30;G06N7/00 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
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主权项 |
1. A method for product data management, the method performed by a data processing system and comprising:
receiving a model library comprising a plurality of library objects, wherein each of the plurality of library objects comprises a description sentence; identifying a plurality of relevant words and a plurality of word tuples from the description sentences in the plurality of library objects, each of the plurality of word tuples comprises multiple relevant words; determining a word frequency for each of the plurality of relevant words in the model library; determining a tuple frequency for each of the plurality of word tuples in the model library; determining a conditional probability for a first relevant word to occur in a description sentence with a second relevant word for each of the plurality of relevant words; and creating a controlled vocabulary for the model library comprising the plurality of relevant words, the word frequency for each of the plurality of relevant words, the plurality of word tuples, the tuple frequency for each of the plurality of word tuples, and the conditional probabilities for each of the plurality of relevant words. |
地址 |
Plano TX US |