Abstract: An upper-level integrated processing device recognizes an inquiry, generates a search request in a primitive form to be output to each of the individual AI search devices in response to the inquiry, receives an individual reply and the probability thereof corresponding to the search request in the primitive form from a plurality of individual AI search devices, normalizes the probabilities of the individual replies from the individual AI search devices to acquire normalized probabilities, and generates an inquiry reply corresponding to the individual replies and the normalized probabilities thereof, and the lower-level individual AI search device searches Individual AI database using artificial intelligence in response to reception of the search request in the primitive form, acquires an individual reply and the probability thereof, and outputs the same in the primitive form to the integrated processing device. The upper-level devices output reply using a plurality of AI search devices in combination.

Abstract: A risk management system, which is a risk management system of upper layer system connected with a plurality of types of lower layer systems, includes an acquisition unit that acquires first sensing data acquired by a first lower layer system capable of acquiring first type data and second sensing data acquired by a second lower layer system capable of acquiring data of a different type from first sensing data; a normalization processing unit that generates integrated normalized data by performing arithmetic processing for generating first normalized data based on the first sensing data and generating second normalized data based on the second sensing data, and performing first arithmetic process for generating integrated normalized data by performing second arithmetic process for generating first normalized data and second normalized data as one piece of data; and a prediction processing unit that generates predicted risk data based on the integrated normalized data.

Abstract: An upper-level integrated processing device recognizes an inquiry, generates a search request in a primitive form to be output to each of the individual AI search devices in response to the inquiry, receives an individual reply and the probability thereof corresponding to the search request in the primitive form from a plurality of individual AI search devices, normalizes the probabilities of the individual replies from the individual AI search devices to acquire normalized probabilities, and generates an inquiry reply corresponding to the individual replies and the normalized probabilities thereof, and the lower-level individual AI search device searches Individual AI database using artificial intelligence in response to reception of the search request in the primitive form, acquires an individual reply and the probability thereof, and outputs the same in the primitive form to the integrated processing device. The upper-level devices output reply using a plurality of AI search devices in combination.

Abstract: In an information processing apparatus capable of communicating with a plurality of computer systems, an input interpreter separates an input character string from a user into commands and parameters, and a first degree of similarity calculating unit calculates the degree of similarity between context information representing the parameters and metadata of the computer systems. A second degree of similarity calculating unit revises the degree of similarity based upon the processing cost of a command. A command execution unit selects the computer system for which the revised degree of similarity is greatest, converts the input character string to language employed by the selected computer system, outputs the converted character string to the selected computer system and transmits the results obtained to a user terminal. Thus, a computer best suited to execution of processing can be selected from a plurality of computers connected by a network without requiring that the user make any designations.

Abstract: A data processing apparatus for extracting, from a set of data having a vector format stored in a database, a first prescribed number of items of data having a high degree of similarity with a query vector includes a list creation unit and a candidate output unit. The list creation unit creates lists of data in each of which data of the database is sorted in order of decreasing strength of respective one component of a vector. The candidate output unit decides the priority of each list, successively selects, from the lists based upon the list priority and ranking in each list, a second prescribed number of items of data not yet output, and outputs one item of data, from the second prescribed number of items of data selected, based upon degree of similarity between each item of the above-mentioned data and the query data.

Abstract: An integrated database system for performing data processing utilizing plural types of databases. A Meta level system 15 includes a script interpreter 8 which interprets an inquiry represented by a script form which has been addressed to a database to issue a primitive corresponding to the inquiry and combines replies represented by a primitive form received from plural types of databases 11. A local database system 14 includes a primitive processor 9 which transforms the primitive into a control command corresponding to the type of the database 11, outputs the transformed command to the plural types of databases 11, and replies to the Meta level system 15 with the process result represented by the primitive form.

Abstract: A semantic data processing apparatus for retrieving one or a plurality of words, having a close meaning to that of an inputted word, in consideration of context or condition, comprises: a communication apparatus 101 for inputting a keyword and context word group; a projective transformation generating module 104 for transforming the inputted keyword and context word group into a keyword vector and a context word vector group indicative of respective meanings, and generating a projector which projects the keyword and a comparison-subjected vector group into a subspace corresponding to the context word group, in a semantic space which is generated in correspondence with a predetermined space generation word, on the basis of the obtained context word vector group; an input/output apparatus 102 for inputting a comparison-subjected word group; a comparison-subjected word group mapping module 107 for transforming the inputted comparison-subjected word group into a comparison-subjected vector group indicative of mea