Abstract: [Purpose/Significance] This paper aims to study the organization and construction methods of the intelligence cognition models database to help scientists and information analysts to have an accurate understanding of the research area within a short period of time, and assist them in identifying technological opportunities and threats. [Method/Process] The intelligence cognition models database contains various technical elements and literature information across different subjects, so it consists of literature library, algorithm library, scientific/technical knowledge library, application cases library, etc. It has functions including research hotspots identification, technical performance comparison, information analysis methods recommendation, algorithm-aided design and so on. The construction process of the database includes the collection, verification, storage, organization, and utilization of the "intelligence cognitive models", among which the verification of the models is a crucial step. [Results/Conclusions] The intelligence cognition models database is of great significance to the scientific and technological information study and it can play the role of data infrastructures and information analysis toolboxes. The construction of the database requires the cooperation of the information analysts, scientists, and information technology specialists. In the future, the maintenance, application and upgrading of the models library need to be further considered.

Key words: intelligence cognition model, models database, information research infrastructure, academic information research