实物地质资料知识库建设初探

    A preliminary study on the construction of physical geological data knowledge base

    • 摘要: 知识库是人工智能和数据库等当前两项重要计算机技术的有机结合,将知识库应用于实物地质资料管理服务领域,可以为用户在利用实物地质资料时提供更多信息知识参考,加速服务智能化转变。本文首先分析了实物地质资料知识库建设的实际需求,包括馆藏机构的发展需要、资源体系建设的重要内容以及社会化服务的发展趋势。然后探讨了知识库建设的基本要素,主要包括资源要素、技术要素和服务要素。最后提出了建设建议,包括要完善相关配套资料的收集,为知识库建设提前做好完整丰富的材料储备;开展配套资料收集管理技术方法研究,对所收集的资料进行系统化加工和归档;以及与相关单位建立合作机制,夯实信息共享合作基础。

       

      Abstract: The knowledge base represents an organic integration of two significant current computer technologies: artificial intelligence and databases. Applying the knowledge base to the management and service of physical geological data can provide users with more informational and knowledge-based references when utilizing physical geological data, thereby accelerating the transition towards intelligentized services. This paper first analyzes the practical requirements for constructing a knowledge base for physical geological data, including the development needs of repository institutions, the key elements of resource system construction, and the trend towards socialized services. Subsequently, it explores the fundamental elements for constructing a knowledge base, mainly including resource elements, technological elements, and service elements. Finally, it proposes construction suggestions, including the need to improve the collection of related supplementary materials to prepare a comprehensive and rich repository for the knowledge base construction in advance; to conduct research on the technical methods for collecting and managing supplementary materials, ensuring systematic processing and archiving of collected data; and to establish cooperation mechanisms with relevant entities to strengthen the foundation for information sharing and cooperation.

       

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