78 results about "Mind map" patented technology

The invention discloses a four-layer progressive mind map generation system which comprises an input module which can receive input of various document formats, supports simultaneous receiving of multiple documents and adopts a multi-source heterogeneous data adapter to unify the formats; the hierarchical preprocessing module is connected with the input module, receives the converted DOCX document data, and performs hierarchical feature enhancement and hierarchical rule configuration on the data; the bimodal processing module fuses a hierarchical driving structured extraction mode and a large language model generation mode, the hierarchical driving structured extraction mode constructs a hierarchical incidence matrix and the like, and the large language model generation mode provides task instructions and the like; and the structured output module is used for providing multi-format conversion, mind map downloading and interaction functional components. The system has the advantages that all the modules work cooperatively, multi-format document processing is achieved, multiple modes are fused to generate the mind map, rich output functions are provided, and a user can conveniently and efficiently generate and use the mind map.

The invention discloses a tumor medical record time axis generation method based on multi-modal recognition and dynamic cue words, which thoroughly solves the problem of disordered stage division of a traditional method by introducing a dynamic cue word mechanism into an operation discrimination node. Through a multi-mode OCR + NLP fusion strategy, the accuracy of medical record information extraction is greatly improved; the medical compliance of the time axis is ensured through time sequence verification and field completion driven by the knowledge graph; and through front-end mind map or medical history outline visualization, the complex medical record can be clearly displayed. Practice shows that compared with manual arrangement, the time consumption of sequential output of the complete medical record is reduced by more than 90%, the item missing rate is reduced by more than 80%, and the method can be widely applied to scenes such as clinical decision support, follow-up visit management, scientific research data integration and medical insurance quality control.

The invention provides an electronic health record enhanced reasoning method and system based on a thinking map and reinforcement learning, and the method comprises the steps: carrying out the definition and classification of an electronic health record EHR analysis task, and dividing the EHR analysis task into a clinical decision task and a risk prediction task; constructing an EHR reasoning data automatic generation process, including entity extraction and co-occurrence analysis, construction of a thinking graph based on a knowledge graph, reasoning path synthesis and data generation; and performing reasoning enhanced EHR analysis large language model training, including continuous pre-training, EHR reasoning data instruction fine tuning and EHR analysis task reinforcement learning. According to the method, the external medical knowledge graph is utilized to construct the thinking graph, two-stage post-training and reinforcement learning strategies are combined, and the reasoning ability, diagnosis accuracy and generalization of LLM in various EHR analysis tasks are improved.

The invention discloses a multilevel intelligent mind map generation device based on a large model, and the device comprises a multi-modal data conversion module which processes audio and video data through a multi-modal large model, and converts the input text data and the audio and video processing data into a unified structured text format; the data preprocessing module is used for performing deep semantic analysis on the structured text, extracting key information elements, and performing document slicing and entity structure processing to obtain structured data; the graph fusion module is used for constructing a knowledge graph based on the structured data and ensuring the data quality through an entropy increase resistant mechanism; the graph generation module is used for extracting a community structure from the knowledge graph and generating hierarchical node data of the mind map; the mapping module is used for rendering the node data into a multi-level mind map; and the output module provides interactive display and file export functions of the mind map. According to the device, automatic and multi-level generation of the mind map is realized, and the generation efficiency and accuracy are remarkably improved.

The invention relates to a visual reasoning analysis method and device based on a relation graph and a thinking brain graph, computer equipment and a storage medium. The method comprises the following steps: constructing a plurality of theme libraries of network-related cases; obtaining knowledge points or case reasoning analysis points from each theme library according to case characteristics and case investigation demand information of the target network-related case, and constructing a thinking brain map by taking the target network-related case as a central theme, taking a fraud-related application, a fraud-related website, an application server and a third-party application service as main branches and taking the knowledge points as sub-branches; obtaining entities of the target network-related case and relationships among the entities from the theme libraries, constructing a relationship map according to the entities and the relationships among the entities, and associating the relationship map to a thinking brain map; performing visual display on the thinking brain map; and carrying out visual display on the relation graph. According to the method, the relation graph and the thinking brain graph are associated to analyze the clues of the network-related cases, the complex case data relation can be clearly displayed, the analysis accuracy is improved, and the investigation efficiency is improved.

The invention discloses an education evaluation method and system based on visual identification data analysis, and relates to the technical field of education analysis, and the method comprises the steps: presetting the understanding difficulty for each mapping node, and taking the understanding difficulty as a teaching path reference; performing semantic analysis on the explanation scheme, extracting knowledge points and secondary and supplementary key phrases, and associating the knowledge points and the secondary and supplementary key phrases to corresponding mapping nodes to realize content structuring; acquiring real-time classroom voice information, extracting and analyzing characters to determine real-time keywords, positioning corresponding nodes in the mind map, sequentially connecting the nodes to form a real-time map node sequence line, and capturing an actual explanation path; calculating student initial state evaluation, combining node difficulty correction to obtain final evaluation, and accumulating all student evaluation as a teaching effect; taking a preset explanation order line teaching effect corresponding to the real-time order line as a standard, determining the relative positioning of actual evaluation, and achieving deviation quantification; according to the invention, through multi-modal fusion and a dynamic order line mechanism, the real-time performance and accuracy of evaluation are improved, and teaching improvement guidance is provided.

The invention provides a smart home instruction understanding method based on fusion voiceprint and environment context. Firstly, by means of scene mental atlas dynamic construction and graph neural network reasoning, modeling is conducted on family multi-source heterogeneous information, high-level scene embedding is generated, single-dimension limitation is broken through, and implicit or fuzzy intention recognition precision is improved. And secondly, an intention-behavior probability potential field is introduced and combined with a generator module of a generative adversarial network thought, joint probability distribution of user intentions and system behaviors is dynamically modeled, and fine demand prediction and active equipment operation are realized in cooperation with a deep reinforcement learning module. And finally, through a scene disturbance and causal anti-fact reasoning module, quantitatively learning a causal relationship between a key scene variable and a probability potential field, optimizing a map causal edge weight, avoiding a wrong decision, and enhancing system generalization ability and decision reliability.

The embodiment of the invention provides a document generation method and device. According to the method, the test item can be hierarchically split through mind map node arrangement provided by the editing window, so that a tester can more clearly control the test coverage range, the risk of case omission is reduced, and the document generation precision is improved. Based on the document template and the target mind map, a test design document and a test case document are generated, and a demand tracking table is generated in the test design document. Due to the fact that the test design document and the test case document are from the same target mind map, the problem of information splitting of traditional scattered documents is avoided in the mode, the test design, the test requirements and the test cases have strong relation, and efficient tracking is facilitated.

This paper provides a content display method, an interaction method, a device, an electronic device, and a storage medium. The content display method includes: displaying a first visual mind map, the first visual mind map being editable; and, in response to a first display operation, displaying first content, the first content corresponding to either the first visual mind map or a second visual mind map, the second visual mind map being edited from the first visual mind map, and the first content being used by virtual objects as retrieval-enhanced data. This paper utilizes the above technical solution to improve the efficiency of information retrieval based on visual mind maps.

The application discloses an interactive thought map knowledge base device, which can be used for constructing a fusion type knowledge base based on natural language and without limitation of language types, and can be used as a component module of other artificial intelligence systems to provide a knowledge representation or a function of answering questions based on reasoning. The application allows knowledge and thought methods to be represented based on natural language texts, has strong representation capability, and is easy to understand and use. The application supports progressive fusion of knowledge represented based on different languages. The application supports establishment of a large knowledge base in a progressive fusion manner. Knowledge and thought methods are cooperatively represented in a mutually related manner, reasoning calculation results can further drive new reasoning calculation processes, autonomous driving thinking is realized, new information can be actively acquired on demand during the reasoning calculation process, and the reasoning calculation process is based on facts when the thought map content in the knowledge base is consistent with facts, and the reasoning calculation results also necessarily reflect the facts.

The application provides a website multilevel menu processing method, device and equipment and a storage medium. The method comprises the following steps: receiving a mind map file established based on the hierarchical relationship of a target website menu, parsing the mind map file, calling a corresponding network request, updating the multilevel menu of a website to be maintained, and obtaining the updated multilevel menu consistent with the target website menu. The method can realize one-key update processing of the multilevel menu of the website to be maintained through the mind map, thereby avoiding the complex operation of repeatedly expanding the entire menu layer by layer when updating the multilevel menu. The processing process is convenient and fast, and the processing efficiency is high.

The invention relates to a mind map generation method and device, and the method comprises the steps: obtaining a to-be-converted document, and extracting a content outline set and a content element set in the to-be-converted document; on the basis of the hierarchy of the content outline in the content outline set, constructing a document content outline skeleton, and for any leaf content outline in the document content outline skeleton, executing the following operations: determining content elements belonging to the leaf content outline from the content element set, and generating leaf nodes of the leaf content outline according to the content elements; and generating a mind map based on the document content schema skeleton and the leaf nodes of the at least one leaf content schema. The problem that a mind map is incomplete due to the fact that an existing scheme cannot process non-text content is solved. Meanwhile, the lightweight processing flow gets rid of dependence on a large GPU server, the deployment cost is reduced, the flexibility is improved, and different scene requirements are met.

1. The name of the design product: business voice recorder (H11 / H12 / H13). 2. The use of the design product: for recording, transcription, translation, summary, mind map. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The application provides a method and system for automatically generating a network security test task outline based on subjects, comprising the following steps: S1, based on task information file decomposition index requirements, analyzing network security index keywords related to network security test in the index requirements; S2, based on the network security index keywords, using a related entity discovery technology to obtain recommended subjects corresponding to the index; S3, using a mind map to display the corresponding relationship between the measured system, the index and the subject; and S4, based on the corresponding relationship between the measured system, the index and the subject, using a network security test task outline template to automatically generate a test task outline.

1. Name of the product in this design: Graphical User Interface (Business Knowledge Guide) for Water Resources Business Analysis and Management System for Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Uses of the graphical user interface: for building a learning system for project-related knowledge, evaluating work statistics, compiling and querying information on honors and awards, and assisting in work. 6. Human-computer interaction method of graphical user interface: Click "Knowledge Map" in the upper left corner of the main view to enter the interface change state diagram 1, which can view mind maps of various knowledge categories. Clicking "Add Knowledge Category" on the upper right of the interface change state diagram 1 will take you to the interface change state diagram 2. This interface allows you to add a root node. By entering information such as "Knowledge Title", "Sorting" and "Knowledge Content Type", you can add a new knowledge category. In the interface, "XXX" represents text, numbers, letters, or symbols.

This invention relates to the field of R&D management technology, and discloses a method, apparatus, device, and medium for converting mind maps to tables. The method includes: parsing a mind map file to form a node tree structure; establishing a mapping relationship between the node tree structure and table fields; traversing branch paths and extracting text in reverse to generate data entries containing path fields, name fields, step fields, and result fields; detecting the tag attributes of nodes at a specified level to generate priority identifiers; generating an output file name and writing the data entries and priority identifiers into a table file. This invention can be applied to business scenarios such as fintech and healthcare. By mapping the node tree structure to table fields and extracting text in reverse from branch paths, it achieves automatic conversion between mind maps and tables, reducing manual processing and improving the accuracy of field correspondence.

The invention relates to a multi-span collaborative study and judgment method based on a thinking brain map. The method comprises the following steps: constructing the thinking brain map by taking a case event as a central point and taking a case element as a node; in response to a collaborative editing operation of any user on the thinking brain map in multi-span collaboration, identifying an operation type of the collaborative editing operation; if the operation type is a modified node type, identifying a first target node corresponding to the collaborative editing operation in the thinking brain map, and obtaining editing content of the collaborative editing operation; standardizing the edited content through a preset data format to obtain standardized edited content, and updating a first target node in the thinking brain map according to the standardized edited content; and encrypting the updated thinking brain map, and pushing the encrypted thinking brain map to each user of the intranet from the extranet by adopting a secure data transmission technology, so that each user carries out case research and judgment through the updated thinking brain map. According to the method, cross-network and cross-department multi-person collaborative research and judgment can be realized, and the research and judgment efficiency and the data security are improved.

The invention discloses a test case generation method and device, electronic equipment and a storage medium, and relates to the field of financial science and technology or other related technical fields, and the method comprises the steps: receiving a topological node selected by a user side and an input test demand; the mind map is called, test case generation strategies are obtained based on the topological nodes, the topological nodes are nodes in the mind map, and the test case generation strategies are configured for each topological node in the mind map in advance; calling a test case knowledge base, and identifying the change content of the stock test case based on the topological node and the test requirement; and executing a test case generation task based on the test case generation strategy and the change content of the stock test case, and generating a target test case. According to the method and the device, the technical problems of low efficiency and high possibility of test content omission due to dependence on manual test case generation in related technologies are solved.

The invention relates to the technical field of audio and video data processing, in particular to an audio and video mind map generation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining audio and video data which comprise audio data and video data; identifying the audio data to obtain a time sequence audio text; determining a time sequence audio topic according to the time sequence audio text; identifying the video data to obtain a time sequence video text; judging whether the time sequence video text is associated with a time sequence audio topic in a preset time difference range or not to obtain a first association result; when the first association result shows that association exists, combining the associated time sequence video texts into the corresponding time sequence audio texts according to the association relationship to obtain first audio and video time sequence texts; and generating a mind map according to the first audio and video time sequence text. The problem of summarizing accuracy of the audio and video mind map is well solved.

The invention discloses a teaching and learning knowledge graph and mind mapping construction system based on multi-modal digital intelligence, relates to the technical field of education informatization, and is used for solving the problem of knowledge logic extraction and visualization of teaching multi-modal data. The method comprises the following steps: firstly, establishing a space-time three-dimensional coordinate system, locking an effective time period by utilizing the interaction density of writing actions and voice accent, and intercepting an audio-visual synchronous data packet; then, geometric coordinates and indentation features of the text entities are analyzed, and an initial structured entity tree representing the hierarchical relation of the static space is constructed; the analyzed teaching operator constructs a cross-space implicit association edge through a logic tension coefficient and executes reverse pruning to generate a dynamic semantic topology network; and finally, executing a minimum spanning tree algorithm based on the multi-modal reproduction weighted value, reserving a backbone path, converting the backbone path into hierarchical tree data, and generating a mind map, thereby realizing intelligent construction from unstructured teaching field data to a structured knowledge graph.

The embodiment of the invention provides a test data synchronization method and device, and relates to the technical field of software testing. The method comprises the steps that a triple is constructed on the basis of a demand document, so that a function block, a test case and brain map data have a three-party incidence relation on the basis of the triple, and the triple comprises a function block address, a test case address and a brain map node address; monitoring an editing operation on any one of the function block, the test case and the brain map data; and in response to the editing operation, positioning and updating the data of the other two parties associated with one of the three parties. Through one embodiment of the invention, the problem of low change and maintenance efficiency during software testing in the prior art is solved, and the effect of improving the change and maintenance efficiency during software testing is further realized.

Embodiments of the present disclosure relate to a test case processing method, device, equipment and medium, wherein the method comprises: obtaining a first test case file in table format; performing format conversion on first data corresponding to the first test case file to obtain second data in mind map data structure; performing deduplication and integration processing on element node data of multiple test cases in the second data to obtain third data; and converting the third data into a second test case file in mind map format through a mind map tool. With the above technical solution, in the conversion process of the test case file from the table format to the mind map format, through the deduplication and integration processing, the data redundancy problem existing in the converted mind map format is avoided, the user can quickly find the required data, the readability of the data is improved, and in subsequent maintenance, the repeated work of repeated content is avoided, and the maintenance efficiency is improved.

Embodiments of the present application provide a test case generation method and related equipment, which relate to the field of automatic testing technology, and the method comprises: obtaining related parameters of a target mind map based on a target command line; reading the target mind map to determine target information according to the related parameters; and generating a target test case population according to the target information; wherein the target information comprises entity information, relationship information, and / or event information. In this way, the test case population can be automatically generated without human intervention, thereby improving the generation efficiency, coverage rate and applicability to frequent iteration scenarios of the test case population.

The invention discloses a task generation method, system and device in a work item management system and a medium, and relates to the technical field of project development and project management. The method comprises the following steps: firstly, calling an application program interface of a work item management system through a server, and converting first structure information of a task obtained by analyzing a mind map carrying a task hierarchical relationship contained in an item and description information of the task into second structure information of the task in the work item management system; generating task nodes in the work item management system according to the second structure information; and determining the second description information of the task node according to the first description information, thereby completing the creation of the task in the work item management system, and realizing the automatic importing of the task in the mind map into the work item management system. Moreover, compared with a mode of artificially creating the tasks in the work item management system one by one based on the mind map, the method has the advantages that the influence of human factors is reduced, and the tasks in the work item management system are efficiently and accurately generated.

The application discloses a front-end and back-end code call chain generation method and device and a storage medium. It relates to the field of artificial intelligence, and the method comprises the following steps: receiving a code directory corresponding to a target project to be generated with a call chain, and extracting front-end code files and back-end code files from the code directory; using a target model to perform multi-thread parallel analysis on a webpage structure file, a front-end logic file and a back-end code file; determining front-end interface call information according to a webpage structure analysis result and a front-end logic analysis result; associating the front-end interface call information with a back-end code analysis result based on a service name to obtain a call chain association result, and performing mind map rendering according to the call chain association result to obtain a front-end and back-end code call chain. Through the application, the problem of low generation efficiency of the front-end and back-end code call chain in related technologies is solved.

The invention belongs to the technical field of computers and artificial intelligence, particularly relates to an auxiliary teaching material generation method and system based on an artificial intelligence technology, and aims to solve the problems that existing teaching materials are low in production efficiency, insufficient in individuation degree and difficult to generate visual materials. The method comprises the steps of obtaining and analyzing a teaching material generation request to determine a teaching range requirement and a core knowledge point; according to the requirements and the core knowledge points, aggregating related contents from a plurality of resource libraries, and extracting and generating a hierarchical knowledge point structure by using an artificial intelligence large model; and generating at least one teaching material including an interactive animation, a knowledge card or a mind map based on the knowledge point structure. According to the invention, the teaching materials can be automatically, intelligently and individually generated, the lesson preparation efficiency is remarkably improved, the expression form of the teaching resources is enriched, and the teaching effect is improved.

This application provides a method for adjusting the position of nodes in a mind map, comprising: responding to a user's operation, displaying hidden child nodes of existing nodes or creating new nodes based on existing nodes in the mind map, wherein the existing nodes or existing nodes and new nodes include a first node and a second node, and the mind map also includes preset anchor points; constructing a first edge box and a second edge box for the first node and the second node respectively, wherein the first node includes an adjustment label, and the second node is the node among the remaining nodes that is closest to the preset anchor point, wherein the remaining nodes are the nodes among the existing nodes excluding the first node, or the remaining nodes are the nodes among the existing nodes and new nodes excluding the first node; calculating a first distance between the first edge box and the second edge box; and when the first distance is negative, moving the second node according to the first distance. The method for adjusting the position of nodes in a mind map provided by this application can quickly adjust the occlusion of nodes in a mind map.

The invention discloses an English four-day deep thinking training method, and relates to the technical field of education and teaching methods, in particular to an English four-day deep thinking training method, which realizes deep thinking cultivation through high-intensity centralized training of multiple classes every day in continuous four days. Target-oriented curriculum design is adopted, and students are graded according to the level and personalized teaching is carried out; learning of each text follows four stages of processes of passion starting, immersion input, memory output and result acceptance, and is manually guided by a teacher and timed and controlled; the input and output circulation is strengthened through the modes of layered follow-up reading, passion reading, double translation, mind map retelling, group relay PK and the like; and interesting interaction mechanisms such as an integral excitation system, inter-group competition and mortality moments are fused, and inter-class game work and rest are combined. A back-connected challenge is set in the last day, and the sense of ceremony is enhanced through opening and closing ceremony. The method can effectively stimulate the internal driving force and improve the language comprehensive application ability and team cooperation spirit.

The application discloses a method for keeping the display position of a target node stable in a graphical knowledge structure, which is suitable for a mind map, a knowledge graph, a tree-shaped knowledge structure or a graph-shaped knowledge structure. The method determines the target node when or before and after a structure change event occurs, records the reference display position before the change, updates the local position parameters of the affected nodes and the global position parameters of the target node, determines the display position of the target node after the update, calculates the view compensation parameters according to the position difference between the reference display position and the display position after the update, adjusts the current canvas view, keeps the display position of the target node unchanged or within a preset deviation range, thereby reducing the view jump, improving the editing continuity and the collaborative display stability.