12 results about "Tacit knowledge" patented technology

This invention discloses a system for converting tacit knowledge into explicit knowledge based on knowledge graphs and large models. It includes a knowledge system ontology modeling and management module for constructing and maintaining the knowledge system ontology model in large model applications; a data access and knowledge graph construction module for mapping and loading multi-source heterogeneous data onto the knowledge system ontology; an ontology virtual business environment engine module; a tacit knowledge mining and explicit knowledge generation module that, in a virtual environment, uses graph analysis and large model reasoning to mine tacit knowledge and generate explicit knowledge; and a business strategy planning and workflow orchestration module that transforms explicit knowledge into executable business strategy plans and workflow orchestrations. Through the knowledge system ontology modeling and management module, a systematic knowledge framework is constructed, achieving systematic accumulation of enterprise tacit knowledge, effectively preventing knowledge loss, and improving knowledge reusability and scalability.

This invention discloses a method, apparatus, device, and medium for solidifying tacit knowledge, relating to the field of artificial intelligence technology. The method includes: acquiring the current task context; using a generative agent to determine unprocessed items; and having the generative agent search for these unprocessed items in a preset factual knowledge base and / or normative knowledge base to generate valid search records; assembling first prompt words and invoking a large language model to reason about the first prompt words, obtaining preliminary results; comparing the preliminary results with standard examples in the current task context to generate a difference report; assembling second prompt words and invoking a large language model to reason about the second prompt words; extracting tacit knowledge based on the difference report; and solidifying the tacit knowledge contained in the standard examples. This invention mines and extracts the tacit knowledge of experts, achieving the solidification of tacit knowledge and realizing the accumulation, reuse, and structured management of enterprise knowledge assets.

Examples described herein provide a method for capturing and representing tacit knowledge to enhance artificial intelligence (AI) aided decision making. The method includes capturing raw data from the user interaction and extracting a tacit knowledge representation from the raw data. The method also includes generating recorded tacit knowledge by systematically recording tacit knowledge representations in the knowledge management system, the tacit knowledge representations including individual actions and decisions taken during the particular task. The method also includes classifying the recorded tacit knowledge to create a structured knowledge representation. The method also includes integrating the structured knowledge representation into the AI system, wherein the AI system utilizes implicit knowledge to improve the quality of the data input and enhance decision making ability. The method also includes providing a personalized knowledge management system that allows individuals to record their decision making processes.

A processing device (10) comprises: a question extraction unit (11) that, using an LLM (20), extracts, from a plurality of dialogues between an expert and a user, questions asked by the expert in order to elicit information from the user; a proposal extraction unit (12) that, using the LLM (20), extracts, from the plurality of dialogues, proposals made by the expert in order to solve the problem of the user; a structuring unit (13) that, using the LLM (20), converts a dialogue between the expert and the user into a flow having information indicating a question, the user's answer to the question, and the proposal accepted by the user; and a chart construction unit (14) that statistically constructs, on the basis of a plurality of the flows, one flowchart indicating the tacit knowledge and judgment of the expert.

The invention discloses a method, a device, equipment and a medium for solidifying implicit knowledge, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring a current task context, determining an unprocessed item by utilizing a generation agent, and performing retrieval in a preset fact knowledge base and / or a standard knowledge base by the generation agent according to the unprocessed item, generating an effective retrieval record; assembling the first cue word, and calling a large language model to reasone the first cue word to obtain a preliminary result; comparing the preliminary result with a standard example of the current task context to generate a difference report; and assembling a second cue word, calling the large language model to reasone the second cue word, extracting the implicit knowledge according to the difference report, and solidifying the implicit knowledge contained in the standard paradigm. According to the method, implicit knowledge of experts is mined and extracted, solidification of the implicit knowledge is realized, and accumulation and reuse of enterprise knowledge assets and structured management are realized.

According to the modern industry college industry-university-research project full-life-cycle management and contribution degree metering system provided by the invention, by fusing multi-source heterogeneous data such as codes, documents and communication and extracting multi-dimensional features, the limitation of single metering dimension of a traditional method is overcome; an adaptive weight adjustment algorithm based on a project stage is introduced, so that the importance of contributions of different dimensions such as code development, technical documents and collaborative communication can dynamically change along with a project process, and the timeliness and situation adaptability of evaluation are improved; an influence propagation model based on a complex network theory is utilized to quantify implicit knowledge transmission and leadership contribution in a project collaborative network for the first time, and the problem that indirect contribution is difficult to measure is solved; the comprehensive contribution degree obtained through calculation is directly linked with management decisions such as resource allocation and authority management, and the crossing from static statistics to dynamic intelligent decisions is achieved. According to the invention, the collaborative efficiency, resource utilization efficiency and management intelligence level of industry-university-research projects are effectively improved.

The examples described herein provide a method for capturing and representing tacit knowledge to improve AI-supported decision-making. The method involves capturing raw data from user interactions and extracting representations of tacit knowledge from this raw data. It further involves generating documented tacit knowledge by systematically recording representations of tacit knowledge, including individual actions and decisions taken and made during specific tasks, in a knowledge management system. Finally, the method includes categorizing the documented tacit knowledge to generate structured knowledge representations.The process further includes integrating the structured knowledge representations into an AI system, whereby the AI ​​system uses the implicit knowledge to improve the quality of data inputs and enhance decision-making capabilities. The process also includes providing a personalized knowledge management system that allows individuals to document their decision-making processes.

This technology quantifies and visualizes the intuitive information that was previously the tacit knowledge of the practitioner, enabling objective decision-making support. [Solution] A program for operating a computer 20 comprising a processor 29 and memories 25 and 26, wherein the memories 25 and 26 store a trained model that takes acoustic data acquired in an environment where vascular treatment is being performed as input and outputs risk assessment information regarding vascular treatment procedures. The program causes the processor 29 to perform a first step of receiving acoustic data, a second step of inputting the acoustic data received in the first step into the trained model and acquiring risk assessment information output from this trained model, and a third step of outputting the risk assessment information acquired in the second step in a form that can be perceived by humans.

Provides information on operational processes, including tacit knowledge. [Solution] A program for causing one or more computers to execute the following steps: an action type receiving step for receiving an action type; a tentative process information obtaining step for obtaining tentative process information indicating a tentative action process by inputting a prompt including an instruction to generate an action process corresponding to the action type into a generation model; a tentative process information presenting step for presenting the tentative process information to an actor; a video obtaining step for obtaining an action video of the actor to whom the tentative process information was presented performing the action process; a process information obtaining step for obtaining process information by inputting a prompt including the action video and an instruction to generate process information indicating the action process into a generation model; and a process information output step for outputting the process information.

Collect tacit knowledge from experts. [Solution] The agent system 2 is characterized by comprising a video playback unit 26 that displays a video of the site on a display 41 and presents it to the user 4, a questioning unit 27 that asks the agent using a large-scale language model 200 questions of the user 4 about how to respond to each situation in the manufacturing site 1, and a data collection unit 28 that collects dialogue between the agent and the user 4.

The invention provides a silence knowledge reasoning and analogy decision-making method for an AGI, which solves the problem that the AGI lacks deep structure analogy and mapping of situations and allusions, and the like, and comprises the following steps: S1, training a philosophy semantic understanding model; s2, constructing a structured allusion knowledge base; and S3, executing situation-allusion analogy reasoning. The method has the advantages of being high in interpretability, wide in universality and the like.

Methods and systems for capturing tacit knowledge data from an expert user and methods and systems for using the captured tacit knowledge data to assist a novice user. Steps of a computer-implemented method for capturing tacit knowledge data from an expert user comprise: receiving expert data, analysing the expert data, and storing the sequence of expert actions in a database. The expert data comprises expert real-time data received while the expert user performs a task. The expert real-time data comprises expert sensor data from a first plurality of sensors monitoring the expert user and / or the surroundings of the expert user. Analysing the expert data uses a machine learning system to determine what actions the expert user has performed. The analysing comprises classifying the expert data to determine expert actions that the expert has performed and clustering the expert actions into a sequence of expert actions.