Research on Big Data Governance for Science and Technology Forecast
From imitation to innovation,from following to leading,is not only a major change in the development of science and technology in China at this stage,but also a major strategic demand for national development.In recent years,relevant scholars at home and abroad have carried out the research of scien...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2021-09-01
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| Series: | Jisuanji kexue |
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| Online Access: | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-36.pdf |
| _version_ | 1818366985666297856 |
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| author | WANG Jun, WANG Xiu-lai, PANG Wei, ZHAO Hong-fei |
| author_facet | WANG Jun, WANG Xiu-lai, PANG Wei, ZHAO Hong-fei |
| author_sort | WANG Jun, WANG Xiu-lai, PANG Wei, ZHAO Hong-fei |
| collection | DOAJ |
| description | From imitation to innovation,from following to leading,is not only a major change in the development of science and technology in China at this stage,but also a major strategic demand for national development.In recent years,relevant scholars at home and abroad have carried out the research of science and technology development trend analysis and hot spot tracking,but due to the lack of systematic big data collection and governance system,the scope of data analysis and mining is often limited to the single data sample of science and technology literature.Aiming at the goal of forward-looking prediction of science and technology development,this paper comprehensively analyzes the massive heterogeneous data that affect the development process of science and technology,such as all kinds of scientific and technological literature,scholar dynamics,forum hot spots and social comments.By building a data-driven big data governance system,this paper solves the data remediation problems in the process of detection and discovery,accurate collection,cleaning and aggregation,fusion processing,model construction,prediction and calculation.At the same time,on the basis of big data remediation,LDA model is used to achieve technology trend prediction and ana-lysis.The research results provide technical support for the system to solve the problem of hidden information discovery and relationship reasoning in massive scientific and technological big data. |
| first_indexed | 2024-12-13T22:44:52Z |
| format | Article |
| id | doaj.art-fb0ae6171d584d68b0051269817fa3a3 |
| institution | Directory Open Access Journal |
| issn | 1002-137X |
| language | zho |
| last_indexed | 2024-12-13T22:44:52Z |
| publishDate | 2021-09-01 |
| publisher | Editorial office of Computer Science |
| record_format | Article |
| series | Jisuanji kexue |
| spelling | doaj.art-fb0ae6171d584d68b0051269817fa3a32022-12-21T23:28:46ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2021-09-01489364210.11896/jsjkx.210500207Research on Big Data Governance for Science and Technology ForecastWANG Jun, WANG Xiu-lai, PANG Wei, ZHAO Hong-fei01 School of Management Science and Engineering,Nanjing University of Information Science Technology,Nanjing 210044,China <br/>2 East War District General Hospital,Nanjing 210000,China <br/>3 College of Media Technology,China Communication University,Nanjing 211172,ChinaFrom imitation to innovation,from following to leading,is not only a major change in the development of science and technology in China at this stage,but also a major strategic demand for national development.In recent years,relevant scholars at home and abroad have carried out the research of science and technology development trend analysis and hot spot tracking,but due to the lack of systematic big data collection and governance system,the scope of data analysis and mining is often limited to the single data sample of science and technology literature.Aiming at the goal of forward-looking prediction of science and technology development,this paper comprehensively analyzes the massive heterogeneous data that affect the development process of science and technology,such as all kinds of scientific and technological literature,scholar dynamics,forum hot spots and social comments.By building a data-driven big data governance system,this paper solves the data remediation problems in the process of detection and discovery,accurate collection,cleaning and aggregation,fusion processing,model construction,prediction and calculation.At the same time,on the basis of big data remediation,LDA model is used to achieve technology trend prediction and ana-lysis.The research results provide technical support for the system to solve the problem of hidden information discovery and relationship reasoning in massive scientific and technological big data.http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-36.pdfbig data|big data governance|forward looking forecast|system research|lda model|data cleaning |
| spellingShingle | WANG Jun, WANG Xiu-lai, PANG Wei, ZHAO Hong-fei Research on Big Data Governance for Science and Technology Forecast Jisuanji kexue big data|big data governance|forward looking forecast|system research|lda model|data cleaning |
| title | Research on Big Data Governance for Science and Technology Forecast |
| title_full | Research on Big Data Governance for Science and Technology Forecast |
| title_fullStr | Research on Big Data Governance for Science and Technology Forecast |
| title_full_unstemmed | Research on Big Data Governance for Science and Technology Forecast |
| title_short | Research on Big Data Governance for Science and Technology Forecast |
| title_sort | research on big data governance for science and technology forecast |
| topic | big data|big data governance|forward looking forecast|system research|lda model|data cleaning |
| url | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-36.pdf |
| work_keys_str_mv | AT wangjunwangxiulaipangweizhaohongfei researchonbigdatagovernanceforscienceandtechnologyforecast |