支撑科技服务的知识计算引擎数据集

构建支撑科技服务的知识计算引擎数据集，整合企业、高校、投资服务机构等多类型实体信息与未来产业产业链划分数据，形成覆盖全面、关联紧密、质量可靠的数据资源。
该数据集的发布，一方面可为知识计算引擎提供高质量训练与应用数据，助力其实现语义理解、关联推理等核心功能；另一方面可支撑科技资源对接、产业链分析、政策制定等多场景应用，为科技服务智能化升级与未来产业创新生态构建提供重要数据支撑，具有显著的学术价值与实践意义。数据集共包括3个二级文件夹，分别是未来产业实体数据、未来产业产业链划分数据、相关成果数据。文件夹1为Entity数据内容为(1) company_base.json 是企业实体数据；(2) college_base.json 是高校实体数据；(3) inverstor_base.json 是投资服务机构数据；文件夹2为Industry，数据内容为 industry.json 是未来产业产业链划分数据。文件夹3为相关成果，包含2项专利、2项软著、2项标准。总数据量130MB。

This dataset is developed for the knowledge computing engine supporting technology services, integrating multi-type entity information including enterprises, universities, investment service institutions and future industry industrial chain classification data, to form a comprehensive, closely interconnected and high-quality data resource.

The release of this dataset can, on one hand, provide high-quality training and application data for the knowledge computing engine, enabling it to achieve core functions such as semantic understanding and relational reasoning; on the other hand, it can support multiple scenario applications including technology resource docking, industrial chain analysis and policy formulation, providing critical data support for the intelligent upgrading of technology services and the construction of future industry innovation ecosystems, thus holding significant academic and practical values.

The dataset consists of 3 secondary folders, namely Future Industry Entity Data, Future Industry Industrial Chain Classification Data and Related Achievements Data.

Folder 1 is Entity Data, with its contents including: (1) company_base.json: enterprise entity data; (2) college_base.json: university entity data; (3) investor_base.json: investment service institution data.

Folder 2 is Industry, whose content is industry.json, which contains future industry industrial chain classification data.

Folder 3 is Related Achievements, which includes 2 patents, 2 software copyrights and 2 standards. The total data volume is 130 MB.