On December 10, 2021, the "Knowledge Graph Selection and Implementation Guide" was released at the 2nd Knowledge Graph Industry Development Forum, which was held both online and offline in Nanjing and organized by the China Electronics Technology Standardization Research Institute, co-hosted by the Knowledge Graph Industry Promotion Array Organizing Committee and the Artificial Intelligence Sub-committee of the National Information Standardization Committee Knowledge Graph Working Group. At the conference, the "Knowledge Graph Selection and Implementation Guide," led by the China Electronics Technology Standardization Research Institute and co-compiled by Futong Dongfang and other units, was successfully released. The "Knowledge Graph Selection and Implementation Guide" aims to build a platform for docking, communication, and collaboration in the field of knowledge graphs, to cultivate and strengthen suppliers, integrators, and supporting service providers in the field of knowledge graphs, to jointly promote the mining, sharing, flow, and application of knowledge elements in various industries, and to promote the construction of new types of infrastructure for knowledge mining and application services across industries and fields. It contributes to the construction and improvement of the knowledge graph industry ecosystem and the transformation and upgrading of enterprises and industries driven by knowledge.

During the compilation process of the "Knowledge Graph Selection and Implementation Guide," Futong Dongfang participated throughout and was responsible for the writing of several core chapters. The company elaborated on its views and suggestions in sections such as the overview of knowledge graphs, the current state of knowledge graph development, the selection of knowledge graph application systems, the choice of service providers for the construction of knowledge graph application systems, and conclusions and recommendations, contributing to the smooth progress of the compilation work.

In the field of knowledge graphs, Futong Dongfang possesses an automatic knowledge graph construction model and has successfully built a general medical knowledge graph that supports intelligent diagnosis and guidance services across all specialties. Concurrently, the company has collaborated with top-tier industry institutions and universities, including the Beijing Xinlian George Heart Health Research Institute, Beijing Jishuitan Hospital, Beijing Sport University, and Beijing Normal University, to construct knowledge graphs covering medicine, nutrition and dietetics, and sports. To date, they have completed specialized knowledge graphs for hypertension, cardiovascular diseases, and sports injuries, which support refined decision-making services.

As an AI company, Futong Dongfang has adhered to independent innovation and research and development for many years, obtaining multiple invention patents. It integrates artificial intelligence technology with various industries, applying cutting-edge technologies such as algorithm models, machine learning (ML), neural networks, and deep learning to innovative business practices within those industries. Currently, Futong Dongfang has participated in national and provincial key research and development programs such as the "Winter Olympics Smart Medical Security Key Technologies" special project and the dynamic perception of the COVID-19 pandemic based on big data. The research results led by the company, "Intelligent Diagnosis and Treatment Key Technologies and Applications Based on Hybrid Cloud Architecture," have won the Second Prize of the Wu Wenjun Artificial Intelligence Technology Invention Award. Additionally, with its technological accumulation and application practices in the AI field, Futong Dongfang has become a director unit member of the Chinese Association for Artificial Intelligence.

Knowledge graphs, as the cornerstone of cognitive intelligence, play a significant role in advancing the intelligent development of various industries. In the future, Futong Dongfang will continue to leverage its strengths to promote the construction and improvement of the knowledge graph industry ecosystem, contributing to the deepened integration and application of knowledge graphs in various fields.