Retrieval and query method and system for science and technology resources subject and research subject information

Abstract

The present invention provides a retrieval query method and system for subject and research subject information of scientific and technological resources, including: acquiring keywords of scientific and technological resources information data, and constructing a keyword thesaurus; generating word vectors of keywords through BERT pre-training model and The word vector of the subject name of each discipline; based on the word vector of each subject name and the word vector of keywords, cluster analysis of keywords through clustering algorithm; obtain the results under the research topics to which various keywords belong in the historical predetermined period Publish historical data, and predict the development trend of the results of the research topics to which various keywords belong within a predetermined period of time in the future according to the historical data of each achievement; The influence index of the research topic; determine the ranking order of each research topic according to the publication development trend of the research topic and the influence index of the research topic, so as to determine the search query results according to the ranking order.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a retrieval method and system for science and technology resource disciplines and research subject information. Background technique [0002] In recent years, with the continuous development of various information retrieval platforms, more and more users tend to find the scientific and technological resource information they need on the retrieval platform. develop. Under such circumstances, when users want to browse and refer to scientific and technological resource information in a certain field, such as natural foundations, academic papers, patent information, etc., they will search different resource platforms and systems. However, these platforms have the problem of high content repetition in terms of the attributes of scientific and technological resources. Users need to retrieve, manually integrate and filter these data one by one to obtain the desired ...

AI Technical Summary

Problems solved by technology

However, due to the uniqueness of scientific and technological resources, traditional theories and models are difficult to directly apply to the analysis and processing of information and data of scientific and technological resources with multi-source heterogeneous characteristics

For example, in a scientific research field, there are both published papers and applied for natural fund projects, as well as relevant news and news. The attributes of these information are different, but they are all closely related to the scientific research field. In addition, due to the interdisciplinary nature of disciplines, the information may belong to different disciplines; and the current traditional theories and models cannot accurately retrieve the disciplines and research topics hidden in the scientific and technological resource information for the keywords entered by users, so It is impossible to realize efficient retrieval and query of science and technology resource disciplines and research subject information

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