AI4S时代的科技情报领域研究图景与范式重塑

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中图分类号：G351.1 文献标识码：A DOI：10.11968/tsyqb.1003-6938.2025045

Abstract Withtherapid development ofartificial intellgence，anewresearch paradigm，"Artificial Intelligence for Science（AI4S），"has emergedandisreshaping the fundamental logicof scientificresearch.Exploring the impactof AI4Son researchinthe fieldofscientificandtechnical informationand itsresponse mechanisms willhelpprovide theoretical supportand guidance forthefuture developmentofscientificandtechnical information science.This articlereviews the landscape of scientific and technical informationresearch inthe AI4S era，conducts topic identification andevolutionanalysis basedonBerTopicandLLM，andsummarizes theresponsivenessandlimitationsof scientificand technical information research toAI4S.Furthermore，itdiscusses theparadigm shiftand problemreconstruction inthe fieldof scientificand technical informationunder the influenceofAI4S.Anew paradigmforscientificand technical informationresearch in the AI4Seraisproposedfromthe perspectivesoftheoreticallogic，rsearchobjects，researchperspectivesandfuctional positioning.Moreover，theshiftofresearch problems isanalyzed withrespect totraditionalandnewresearch tasks inthe fieldofscientificandtechnological information.Thestudyfindsthatcurrentresearch inthefieldofscientificandtechnical information focuses moreon"leveraging readilyavailabledata intellgence to greatly facilitate intelligent information."Future research should explore information-based intelligence in-depth，fullyleveraging the leadingroleof scientific and technical information.

Keywords AI4S; scientific and technical information; research paradigm; topic evolution; problem reconstruction

2025年3月，《国务院政府工作报告》提出：深入实施“人工智能 + ”行动，7月31日召开的国务院常务会议中又进一步审议通过了《关于深入实施“人工智能 + ”行动的意见》，强调要推动人工智能在各领域的加快普及与深度融合，形成以创新带应用、以应用促创新的良性循环。（剩余14335字）