Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

111 results about "Knowledge mining" patented technology

System and method for heterogeneous information mining and visual analysis

The invention relates to the field of heterogeneous information retrieval, in particular to an intelligent retrieval and analyzing method based on domain ontology and information mining and a visual analyzing system comprising the method. The system mainly comprises a field data acquisition subsystem, a corpus resource processing subsystem, an information mining subsystem and a visual analyzing subsystem, wherein the field data acquisition subsystem is used for acquiring data by network capturing and local uploading, the field data acquisition subsystem is used for pre-processing field related data, the field data acquisition subsystem is used for analyzing and mining related information in corpus, and the visual analyzing subsystem is used for dynamically displaying and counting and analyzing retrieval results. Concepts in a domain ontology base and mutual relations of the concepts are fully used by the system for heterogeneous information mining and visual analysis, requirements of users can be correctly understood to automatically cluster hierarchical structural information of a certain field so as to support the users to inquire key words, phrases and simple sentences and optimize retrieval results, relevant concepts and extension concepts can be found by ontological reasoning to support graphic display preview of each information meaning in the inquiry results, and the professional-field information retrieval performance can be remarkably improved to realize dynamic information display.
Owner:BEIJING ZHONGJIKEHAI TECH & DEV

Knowledge graph construction method for power grid main equipment

The invention discloses a knowledge graph construction method and device for power grid main equipment, and belongs to the technical field of power grid operation and inspection. Through continuous exploration and test, basic information, operation data and operation content of power grid main equipment are subjected to structured processing, knowledge triple extraction, ontology construction and knowledge graph completion and reasoning of the power grid main equipment are achieved through a system tool, and then a knowledge graph of the power grid main equipment is constructed; the method is suitable for the power grid equipment, can be applied to a power grid operation and maintenance management and control platform, can provide an auxiliary decision for operation and maintenance commanders, effectively improves the processing capability of personnel and equipment abnormality and faults, improves the quality and efficiency of knowledge analysis and processing of the power grid equipment, reduces the operation and maintenance cost of the power grid equipment, and improves the power transformation operation and maintenance efficiency. According to the invention, the knowledge mining capability and the intelligent analysis service capability of the equipment management business can be effectively improved, and the informatization and intelligence level project range of power grid operation and maintenance is comprehensively improved.
Owner:ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +1

Computer auxiliary report and knowledge base generation method

InactiveCN101334784AImprove acquisitionImprove the efficiency of classifying informationSpecial data processing applicationsInformation resourceComputer-aided
The invention relates to a computer assistant reporting and knowledge-base generation method including the following steps: a server system receives requests of information search from users and searches all structured and unstructured web pages and websites matching the search requirements of users on the internet and a third-party database and also feeds the search results back to a client digital terminal system after classification, de-emphasis and compilation while matching the third-party database; the server system records the search behavior of a user and detects the updating of information resource and catches and classifies the updated information in real time so as to remind the user of the updating of the information resource when the user goes on line; the user selects the required information from the search results and collects the information into the system and the knowledge mining method is adopted to generate reports and derive files. The invention has the beneficial effects that the efficiency of searching, collecting and classifying the information is enhanced for the user, and the unstructured information can be converted into structured information and the semantic relevance between information can be preserved by human-computer interaction.
Owner:施章祖 +1

Large-scale medical data knowledge mining and treatment scheme recommendation system

ActiveCN110880362ATreatment refinementDrug Therapy UpdatesMedical data miningDrug and medicationsMedical recordData set
The invention discloses a large-scale medical data knowledge mining and treatment scheme recommendation system. The system comprises a data set preprocessing module which is used for obtaining real electronic medical record data and carrying out preprocessing on the electronic medical record data composed of a plurality of types of heterogeneous data sources; a disease severity prediction module which is used for obtaining disease severity scores of each patient in the treatment process; a treatment effectiveness measurement module which is used for obtaining effective treatment measurement information; a patient similarity measurement module which is used for constructing a similarity measurement relationship of patients; and a drug therapy scheme recommendation module which is used for obtaining drug therapy scheme recommendation of the next stage. According to the invention, the severity degree of the illness state of the patient is judged and predicted through the multitask bidirectional heterogeneous LSTM, the effectiveness measure of treatment is defined, the fine grit similarity of the patient is calculated, and the treatment scheme of the next stage is recommended accordingto the historical treatment records of the patient and the effective treatment schemes of other patients with high pathology similarity.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Map visualization system and method for knowledge mining based on spatial big data

The invention discloses a map visualization system and method for knowledge mining based on spatial big data. The method comprises the following steps: drawing a visualization area space-time basic map: drawing the determined visualization area space-time basic map according to a GIS geographic information system; realizing a spatio-temporal data acquisition step: according to the geographic position information of the determined area range, acquiring spatio-temporal data with geographic attributes and time attributes in the area range based on a GIS geographic information system; realziing adata analyzing and processing step: analyzing and processing the obtained space-time data; and realzing a visualization model display step: inputting the output result of the data analysis processingstep and the space-time basic map into a visualization model to realize visualization display of the determined area map. The space-time basic map for determining the urban area and the collected space-time data are imported into the visual model to be processed, and finally visual display of the map is achieved through the space-time visual display terminal, so that map representation is more visual.
Owner:黎慧斌

Knowledge base construction method and device

The invention relates to a knowledge base construction method and device. The knowledge base construction method includes the steps that text linguistic data are obtained, and whether the text linguistic data contain first information is judged according to a preset attribute description mode, wherein the first information includes attribute information of entities in a preset entity set; when it is determined that the text linguistic data contain the first information, the first information is extracted, and a knowledge base is constructed according to the first information and entities corresponding to the first information. According to the embodiment of the knowledge base construction method and device, in the process of constructing the knowledge base, it is unnecessary to perform knowledge mining in a manual mode, in this way, labor is saved, and the construction speed of the knowledge base is increased.
Owner:XIAOMI INC

Enterprise quality credit data acquiring method and system

The invention discloses an enterprise quality credit data acquiring method. The method comprises the following steps: S1, preprocessing data which are associated with enterprise quality credits to obtain corpus data; S2, carrying out knowledge mining on the corpus data to obtain template data; and S3, extracting key data which correspond to the template data from the corpus data, and taking the key data as the enterprise quality credit data. By the enterprise quality credit data acquiring method, consistency, accuracy and comprehensiveness of data acquisition are ensured.
Owner:全国组织机构代码管理中心

Formal semantic reasoning and deep learning-based natural language knowledge mining method

The invention discloses a formal semantic reasoning and deep learning-based natural language knowledge mining method. The method comprises the following steps: a machine learning step used for combining a formal semantic reasoning method with a machine learning method and performing machine learning including semanteme, an intention learning step used for learning a descriptive intention of a to-be-mined natural language, a text topic extraction step used for analyzing a text topic content and paragraph content descriptive intention according to an LDA model, and a document structure classification model building step used for performing model training according to a deep convolutional neural network, automatically modifying and perfecting the neural network in a training process and building an automatic document structure classifier. According to the method, a non-structured data group represented by literatures, voices and the like is directly processed and the intention is reasoned by depending on the combination of automated semantic reasoning, a deep learning technology and natural language processing, thereby obtaining a real intention of text description; and mined and retrieved knowledge is used for analysis and construction of a new knowledge structure, so that knowledge mining and retrieval can be performed in an efficient, intelligent, learnable and self-evolution manner.
Owner:EAST CHINA NORMAL UNIV

Matrix dynamic attribute reduction method with simultaneous addition of object and attribute

PendingCN109062867AJane calculation timeSolve the problem of fast calculation of minimum reductionComplex mathematical operationsMatrix methodGranularity
The invention discloses a matrix dynamic attribute reduction method in which objects and attributes are simultaneously added, which relates to the technical field of rough set and granular computing theory in data mining. Firstly, the minimum attribute reduction REDU of a decision table before change is calculated. When objects and attributes are added to the decision table at the same time, whether the relative knowledge granularity of the minimal attribute reduction of the decision table is equal to the relative knowledge granularity of the changed decision table is calculated, If so, REDU is the minimum attribute reduction after the change, otherwise, the matrix method and incremental mechanism are used to calculate the external importance of all attributes of the changed decision tableexcept REDU, Select the largest attribute to add to the minimum attribute reduction, calculate the relative knowledge granularity until it is equal to the relative knowledge granularity of the changed decision table, delete the redundant attributes, and obtain the minimum attribute reduction of the changed decision table. The invention effectively solves the problem that the minimum attribute reduction can be quickly calculated when the objects and the attributes in the decision table are simultaneously increased, and contributes to improving the efficiency of the dynamic data knowledge mining.
Owner:YUNCHENG UNIVERISTY

Intelligent managing cockpit of power supply system

ActiveCN104463444AMonitor and perceive the real state of operationResourcesDecision makerRadar
The invention relates to an intelligent managing cockpit for a power supply system. The intelligent managing cockpit is a one-stop decision support system with the cockpit as a form. The key indication state of electric power system operation is shown through various visualization technologies such as a speedometer, a volume column, early warning radar and a radar ball, a decision maker and a manager are helped to orderly tease the mass information of an electric power system, and the real-time states of the electric power system are easily and visually monitored and sensed; by means of the state sensing means, the abnormal key index is sensed in time; by means of the knowledge finding and other advanced computing technologies, tendency preconceiving, knowledge mining and situation early warning are achieved, and the managing cockpit suitable for the characteristics of a power supply system is manufactured.
Owner:PINGDINGSHAN POWER SUPPLY ELECTRIC POWER OF HENAN +1

Method for construction of construction project risk knowledge base

InactiveCN103942739AImprove securityAvoid Repeated Security IncidentsData processing applicationsEngineeringEnvironmental impact of meat production
A method for construction of a construction project risk knowledge base is characterized by comprising the steps of first performing combing, statistics and analysis according to collected project risk events and accident cases, establishing knowledge expressions of environment factors and engineering factors of the project risk events and the accident cases, classifying risk knowledge, and constructing a risk knowledge map; designing and establishing the risk knowledge base of engineering project construction of factors such as comprehensive scheduling, investment, safety, quality and environmental influence, enabling the risk knowledge base to comprise attribute establishment of the environment factors and the engineering factors; and finally updating data of the knowledge base through data collection and handing of projects in construction. According to the method, by utilizing disasters occurring in the engineering projects under construction or having been constructed, performing knowledge mining on the disasters and combining a computer-assisted construction risk knowledge base to analyze risks of projects to be constructed, project risk prediction and early warning on the projects to be constructed are performed, repeated occurrence of safety accidents to the projects to be constructed is avoided, and safety of the construction project is improved.
Owner:SHANGHAI JIANKE ENG CONSULTING

Cam shaft intelligent grinding process software database system based on numerical control system

The invention discloses a cam shaft intelligent grinding process software database system based on a numerical control system. The system comprises a technological problem definition module, a technological integrated database module, an expert knowledge base, a decision optimization module, an automatic programmable module and a grinding application module. The technological problem definition module is used for storing a plurality of pieces of process case information according to generalized technological problem definition information model normalization requirements and building other modules with data and knowledge mining and rule-knowledge self-learning ability. A complete set of software is integrated and embedded by the aid of Siemens (original equipment manufacturer) system development communication interface programs. The system solves the problems of complicated and changeable current cam shaft grinding environments, process parameter optimization and decision-making difficulty, complex numerical control programs, low similar part decision-making and programming efficiency and the like. Cam shaft part decision-making processing time can be remarkably shortened, processing efficiency is improved, and the performance of a numerical control machine tool is brought into full play.
Owner:HUNAN UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products