| 人工智能时代情报学发展走向之辨——对本体论、感知论、方法论、服务论的再思考 |
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| 引用本文： | 曹文振,赖纪瑶,王延飞.人工智能时代情报学发展走向之辨——对本体论、感知论、方法论、服务论的再思考[J].情报学报,2020,39(5):557-564. |
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| 作者姓名： | 曹文振 赖纪瑶 王延飞 |
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| 作者单位： | 北京大学信息管理系,北京 100871;北京大学信息管理系,北京 100871;北京大学信息管理系,北京 100871 |
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| 基金项目： | 国家社会科学基金重大项目“情报学学科建设与情报工作未来发展路径研究”(17ZDA291)。 |
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| 摘 要： | 人工智能相关技术的迅猛发展和逐步普及,使得情报学难以避免人工智能的融合趋势,无论这种融合是主动为之或是被动选择。然而学界对人工智能时代情报学学科的发展走向并未予以充分探讨,大部分研究均将焦点置于大数据与下一代互联网环境中进行论述。本研究将人工智能时代情报学学科走向解构为"本体论""感知论""方法论""服务论"四个论题,对每个论题借由理论面向与实践面向的二分法展开阐释,并从整体视角上提出应在人工智能洪流中找准情报学定位,不能忽视"人"在情报学中的价值以及重视跨学科融合、跨领域应用的发展趋势。
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| 关 键 词： | 人工智能 情报学 学科发展 本体论 感知论 方法论 服务论 |
Trends of Information Science in the Era of Artificial Intelligence:Rethinking Theories of Ontology,Perception,Methodology,and Service |
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| Cao Wenzhen,Lai Jiyao,Wang Yanfei.Trends of Information Science in the Era of Artificial Intelligence:Rethinking Theories of Ontology,Perception,Methodology,and Service[J].Journal of the China Society for Scientific andTechnical Information,2020,39(5):557-564. |
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| Authors: | Cao Wenzhen Lai Jiyao Wang Yanfei |
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| Institution: | (Department of Information Management,Peking University,Beijing 100871) |
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| Abstract: | With the rapid development and gradual popularization of artificial intelligence(AI) technologies,it is difficult for information science to avoid the trend of integration with AI,irrespective of whether the integration is an active or passive choice. However,the development trend of information science in the era of AI has not been fully discussed,and most of the studies focus on issues concerning the environment of big data and the Next Generation Internet. In this study,these trends are deconstructed into four topics,including ontology,perception,methodology and service,and each topic is interpreted using the dichotomy that includes theory-oriented and practice-oriented. From the overall perspective,it is suggested that the orientation of information science should be placed accurately in the flood of AI,the value of "human"in information science should not be neglected,and the trend of interdisciplinary integration and cross-domain applications should be carefully considered. |
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| Keywords: | artificial intelligence information science disciplinary development ontology perceptual theory methodology service theory |
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