随着互联网的广泛普及,档案资源的使用者对档案开发的需求正日益增长。作为全球科技创新的焦点,人工智能技术正被众多学科领域密切关注,并被有效融入各自的研究与实践之中,取得了诸多成果。因此,档案资源的开发工作也应紧跟时代步伐,充...随着互联网的广泛普及,档案资源的使用者对档案开发的需求正日益增长。作为全球科技创新的焦点,人工智能技术正被众多学科领域密切关注,并被有效融入各自的研究与实践之中,取得了诸多成果。因此,档案资源的开发工作也应紧跟时代步伐,充分利用人工智能技术来推动档案事业高质量发展。笔者通过归纳总结人工智能赋能档案资源开发的典型技术,进一步分析人工智能应用于档案资源开发中面临的困境,最终针对性地提出了优化策略。With the widespread popularity of the Internet, the demand of the users of archive resources for archive development is growing. As the focus of global technological innovation, artificial intelligence technology is closely monitored by numerous disciplines and effectively integrated into their research and practice, achieving many results. Therefore, the development of archival resources should also keep pace with the times and fully utilize artificial intelligence technology to promote high-quality development of the archival industry. The author summarizes typical technologies for empowering archive resource development with artificial intelligence, further analyzes the challenges faced by the application of artificial intelligence in archive resource development, and ultimately proposes targeted optimization strategies.展开更多
文摘随着互联网的广泛普及,档案资源的使用者对档案开发的需求正日益增长。作为全球科技创新的焦点,人工智能技术正被众多学科领域密切关注,并被有效融入各自的研究与实践之中,取得了诸多成果。因此,档案资源的开发工作也应紧跟时代步伐,充分利用人工智能技术来推动档案事业高质量发展。笔者通过归纳总结人工智能赋能档案资源开发的典型技术,进一步分析人工智能应用于档案资源开发中面临的困境,最终针对性地提出了优化策略。With the widespread popularity of the Internet, the demand of the users of archive resources for archive development is growing. As the focus of global technological innovation, artificial intelligence technology is closely monitored by numerous disciplines and effectively integrated into their research and practice, achieving many results. Therefore, the development of archival resources should also keep pace with the times and fully utilize artificial intelligence technology to promote high-quality development of the archival industry. The author summarizes typical technologies for empowering archive resource development with artificial intelligence, further analyzes the challenges faced by the application of artificial intelligence in archive resource development, and ultimately proposes targeted optimization strategies.