Abstract: Provided is a geospatial information system which can be applied to a wide range of different usages or user needs. The geospatial information system 1 includes: a database 11; a content registration unit 13 which registers, in the database, geospatial content uploaded from a user; and a content display unit 19 which provides, to a user terminal, a geospatial information screen on which the registered geospatial content is displayed. The registrable geospatial content includes a mono image, an orthoimage, a moving image, three-dimensional model data, analysis result data thereof, and the like. In the geospatial information screen, an overlap display and a divisional display may be selected. For the overlap display, content display arrangement is in the order of a map, an orthoimage, and other content icons from the rear surface toward the front surface.

Abstract: A diagnostic assistance system for assisting a person in performing diagnosis of an object includes target data storage means for storing target data indicating a state of the object, diagnostic task means for providing each of a first user and a second user with the target data to enable each of the first user and the second user to perform a diagnostic task of the object, diagnostic result means for receiving a result of diagnosis of the object by each of the first user and the second user, and sharing means for enabling the first user and the second user to share result of diagnosis by each of the first user and the second user. The diagnostic task includes a first sub-task of investigating the target data to output a first diagnostic result and a second sub-task of using the first diagnostic result to output a second diagnostic result.

Abstract: The present invention makes an efficient diagnosis of an object. A general server 3 of a diagnostic assistance system 1 provides data (a large volume of photographic images) concerning an object managed by each client, to said client and a plurality of analysts and experts, and allows such diagnosers to diagnose the object and enables sharing of diagnosis results among the diagnosers. The plurality of analysts each partially contribute in viewing the large volume of photographic images so as to find an abnormal site in the object. The client and the experts then conduct a more detailed diagnosis on the abnormal site discovered by the analysts. An AI server 5 of the diagnostic assistance system 1 creates training data from the diagnosis results provided by the plurality of diagnosers, performs machine learning on the diagnosis results, and carries out automated diagnosis using the learned method.