10 results about "Knowledge base management systems" patented technology

1. The name of the design product: knowledge base management system graphical user interface for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: new energy photovoltaic material management system. 6. The human-computer interaction mode of the graphical user interface: in the front view, click the first "knowledge base" on the right side of the top menu bar to enter the interface change state diagram 1; click "role management" in the left menu of the interface change state diagram 1 to enter the interface change state diagram 2, and user settings personnel can be added, departments can be added, and management permissions can be edited. 7. Other circumstances that need to be explained: "X" in the interface represents replaceable text, numbers, letters or symbols, and the gray block is the replaceable content screen.

This invention discloses an enterprise intelligent knowledge base management system and method based on a vector model, relating to the fields of intelligent information retrieval and natural language processing. This invention parses unstructured documents in various enterprise formats, extracting semantic structure information such as text heading levels and paragraph boundaries, and segmenting them into a set of text fragments. The text fragments are then cleaned to obtain effective text fragments. These effective text fragments are integrated into semantic text blocks with the same topic. Sentence vectors are generated using a pre-trained semantic encoding model. Semantic segmentation points are located based on the semantic similarity of adjacent sentences to obtain standardized knowledge units. A dual-database collaborative query is constructed. After receiving user queries, structured pre-filtering is performed through a relational database, followed by semantic retrieval through a vector database. The intersection of the results from both databases is taken, and a comprehensive score is calculated based on multi-dimensional weights. After filtering, aggregation, and tracing, the results are output. If no matching results are found, a tiered fallback process is triggered, completing the entire retrieval loop.

The invention proposes an intelligent knowledge base management system, and relates to the technical field of knowledge maps, and the system comprises a knowledge map construction module which is used for constructing a hierarchical knowledge map; the scene sensing module is used for collecting scene features of the current operation state of the power grid in real time and fusing the scene features to obtain a scene embedding vector; the knowledge retrieval module is used for executing directional propagation in the hierarchical knowledge graph according to user query to obtain candidate knowledge nodes; the risk assessment module is used for calculating the overall risk of the candidate knowledge nodes based on the topological attribute vector and the scene embedding vector; the dynamic shielding module is used for shielding the candidate knowledge nodes of which the anti-fact risk differences exceed a risk threshold value to obtain the candidate knowledge nodes which are not shielded; and the recommendation output module is used for sorting the candidate knowledge nodes which are not shielded from low to high according to the overall risk and outputting the candidate knowledge nodes. According to the method, knowledge retrieval and recommendation which conform to a power grid operation rule and can avoid the situation that a scene depends on high-risk operation can be realized.

The application provides an intelligent knowledge base management system, and relates to the technical field of knowledge graph, which comprises a knowledge graph construction module, a scene perception module, a knowledge retrieval module, a risk assessment module, a dynamic shielding module and a recommendation output module; the knowledge graph construction module is used for constructing a hierarchical knowledge graph; the scene perception module is used for collecting and fusing the scene features of the current operation state of the power grid in real time to obtain a scene embedding vector; the knowledge retrieval module is used for performing directional propagation in the hierarchical knowledge graph according to user query to obtain candidate knowledge nodes; the risk assessment module is used for calculating the overall risk of the candidate knowledge nodes based on a topology attribute vector and the scene embedding vector; the dynamic shielding module is used for shielding the candidate knowledge nodes with a counterfactual risk difference exceeding a risk threshold to obtain unshielded candidate knowledge nodes; and the recommendation output module is used for sorting the unshielded candidate knowledge nodes according to the overall risk from low to high and outputting the unshielded candidate knowledge nodes. The application can realize knowledge retrieval and recommendation which conforms to the operation law of the power grid and can avoid high-risk operations depending on the scene.

The application relates to the technical field of data interaction, and discloses a medical teaching training business problem solving method and system based on a knowledge base management system. The method comprises the following steps: collecting multi-source heterogeneous data and cleaning, constructing a knowledge graph containing problem-regulation-solution association based on a BERT model and a graph database, monitoring policies and business indexes in real time to trigger dynamic updating of the graph, generating an individualized training scheme in combination with student characteristics, monitoring a teaching process through multi-modal data and dynamically adjusting, and constructing a multi-dimensional index system to optimize the knowledge graph. The system comprises data access and cleaning, knowledge graph construction, dynamic updating, individualized scheme generation, intelligent monitoring and effect evaluation modules. The application solves the problems of special population teaching adaptation, real-time policy response and business process optimization, realizes a closed loop of 'data collection-knowledge construction-application verification' through the knowledge graph and AI algorithms, improves teaching quality and efficiency, and reduces training cost and compliance risk.

The invention relates to the technical field of vehicle-mounted intelligent cabins, and discloses an RAG-based vehicle function knowledge base management system and method for vehicle-mounted desktop generation. The system comprises a vehicle function knowledge base, a vehicle-mounted HMI design specification knowledge base and a user behavior habit knowledge base. The dynamic updating module is used for triggering a retrieval instruction according to the difference between the new user behavior characteristics and the historical portrait; and the retrieval output module is used for responding to an instruction, constructing a composite query based on behavior characteristics, jointly retrieving the three knowledge bases, and outputting a corresponding function definition set, an interaction specification constraint and a related user behavior mode so as to drive a large model to generate or update a vehicle-mounted desktop application. According to the method, personalized, precise and compliant generation of the vehicle-mounted desktop application is realized through behavior driving and multi-source knowledge fusion retrieval.

The invention relates to the technical field of computers, discloses a production command knowledge base management system and method based on a graph database, and aims to solve the problems of data islands, low multi-dimensional association query efficiency, difficulty in mining implicit knowledge, difficulty in tracing fault root causes and the like caused by adoption of a relational database in the prior art. The method comprises the following steps: constructing a production knowledge graph ontology model, and defining entity nodes such as equipment, personnel, materials, process and faults and relation types such as'operation ', 'cause', 'solution 'and the like; data are collected from heterogeneous data sources such as a manufacturing execution system, an enterprise resource planning system, a sensor network and an unstructured log, and are cleaned, converted and subjected to entity alignment. According to the scheme, global correlation modeling of production total elements is achieved, the complex query response speed and the fault diagnosis accuracy are remarkably improved, and dynamic evolution of a knowledge base and intelligent decision assistance are supported.

The invention relates to the technical field of distributed computing, in particular to an intelligent iterative knowledge base management system and method for on-site technical services, and the system comprises an edge layer which is used for collecting multi-modal data of on-site equipment in the operation process; the data acquisition layer is used for collecting multi-modal data and preprocessing the multi-modal data to obtain preprocessed multi-modal data; the distributed storage layer is used for carrying out distributed storage and deduplication storage on the preprocessed multi-modal data; the intelligent analysis layer is used for processing the preprocessed multi-modal data and constructing a technical service iteration knowledge graph; performing causal reasoning on the technical service iteration knowledge graph, and updating a pre-constructed technical iteration tree; the application service layer is used for providing field technical services for technicians according to the technical service iteration knowledge graph and the technical iteration tree, and the problems that multi-modal data fusion is low in efficiency, technical iteration manual dependence is high, knowledge and operation collaboration is poor and the like can be solved.

The invention discloses a multi-type knowledge base management system, which belongs to the technical field of artificial intelligence and database management, and comprises a query interface module, a retrieval execution module, an adaptive optimization module and a service interface module, the retrieval execution module executes multi-modal retrieval according to the matrix and provides knowledge service in an AI friendly format through the service interface module, and the self-adaptive optimization module performs closed-loop automatic updating on a retrieval Prompt template and a retrieval strategy by utilizing downstream application feedback, so that unified management, collaborative calling and intelligent self-adaption of multiple types of knowledge are realized.

1. The name of the design product: knowledge base management system graphical user interface for electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for the management and maintenance of the knowledge base system. 6. The human-computer interaction mode of the graphical user interface: the front view displays the overview interface of the knowledge base management system; clicking the "add" button on the front view switches to the interface change state diagram, which displays the new knowledge base configuration interface; entering numbers or characters in the input box after the label "this level classification name" can create a new knowledge base in the front view. 7. Other circumstances that need to be explained: "XX" in the interface represents variable numbers or characters.