Semantics-based sci-tech information processing method and system
A processing method and technology, applied in the field of data processing, can solve problems such as low efficiency and accuracy, and achieve the effect of solving information overload, eliminating obstacles to content understanding, and improving acquisition accuracy.
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Embodiment 1
[0064] This embodiment provides a semantic-based method for processing scientific and technological information, which is especially suitable for intelligent retrieval and analysis of scientific and technological information, such as figure 1 As shown, the semantic-based scientific and technological information processing method includes the following steps:
[0065] S1. Acquiring website data. The website data may include various contents, which mainly includes webpage content of the website.
[0066] S2. According to the Chinese-English bilingual parallel corpus, the above-mentioned website data is translated into Chinese / English through a decoding algorithm. The Chinese / English translation can be from Chinese to English, or from English to Chinese. The Chinese-English bilingual parallel corpus is a large-scale corpus containing a large number of Chinese-English sentence pairs, which is the basis for building a translation system. Through the steps of corpus cleaning, Chine...
Embodiment 2
[0094] Corresponding to Embodiment 1, this embodiment provides a semantic-based scientific and technological information processing system, such as figure 2 shown, including:
[0095] Obtaining module 1, used to obtain website data;
[0096] The translation module 2 is used to translate the above website data into Chinese / English through a decoding algorithm based on the Chinese-English bilingual parallel corpus;
[0097] The summary module 3 is used to generate a summary according to the translated website data;
[0098] A classification module 4, configured to classify according to the above summary and generate a classification label;
[0099] The storage module 5 is used to store the above-mentioned translated website data, abstracts and classification labels into the full-text search database, refer to as image 3 In the system structure diagram shown, the translation module, summary module, and classification module are respectively connected to the full-text search ...
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