83 results about "Knowledge application" patented technology

The invention relates to a system and method for creating, editing, using one or more multi-relational ontologies and applying knowledge contained in one or more ontologies to one or more applications. The system may extract concepts, relationships, assertions and other information from a domain specific corpus of documents. The system may also create rule-based assertions that are then curated and published as one or more ontologies that can be used in various ways.

A context knowledge modeling method is provided. The context knowledge modeling method includes the steps of: a) defining a context knowledge space as a two-dimensional space based on an abstract level and an application domain of knowledge; b) locating a share ontology as a highest level of the abstract level for defining a common ontology concept at a plurality of applications and services performed in various environment and domains; c) locating at least one of domain ontologies as a lower abstract level than the share ontology by taking over the ontology concept defined at the share ontology and defining a class and an attribute specialized at a corresponding domain and a developing application; and d) locating one or more instance bases expressing knowledge about real objects to have a lower abstract level than the domain ontologies.

A method, apparatus, and program product for designing, implementing, distributing, and deploying computer programs that consist of packaged knowledge components written in modem object oriented programming languages. A meta model defines a model for representing facts, intelligence, and packaging facts and intelligence into readily usable knowledge components implemented in off the shelf object oriented programming languages and tools. In addition, the meta model defines knowledge algebra to assemble and cascade knowledge components into larger and more powerful knowledge components and knowledge oriented software applications. A kernel is provided that links and executes knowledge components and knowledge oriented applications. The kernel dynamically links logical definition of knowledge components and the knowledge application to real implementations.

The invention provides a method for organizing and applying design knowledge supporting product innovation, comprising the following steps of (1) dividing the design knowledge supporting the product innovation into principle knowledge, comprehensive knowledge and field knowledge; the comprehensive knowledge and the field knowledge are collectively called design fact knowledge; (2) expressing the design fact knowledge using a physical characteristic layer, expressing the principle knowledge by using an innovation property layer, and expressing the incidence relation between the physical characteristic layer and the innovation property layer using a knowledge semantic layer; (3) constructing an internal semantic network side to organize the principle knowledge; (4) constructing an external knowledge resource network side to organize the design fact knowledge; (5) constructing the relation between the internal semantic network side and the external knowledge resource network side; and (6) constructing a design knowledge base application system facing the product innovation, and providing brand new, tracking and improved three different knowledge application models for product innovation design according to the requirements of design tasks.

Systems, software, and methods are provided for providing simpler and more secure ARSs that operate to separate and isolate configuration details from connecting systems by: moving most of the connection information to the easily secured ARS; requiring endpoints to initiate outbound connections to that server instead of exposing the systems to inbound connections from the internet; consolidating policy enforcement and routing decisions from the individual endpoints to an ARS; and consolidating network packet traffic filtering and monitoring in an ARS. The present invention substantially reduces the complexity of endpoint configurations by offloading most of the connection and endpoint validation, policy enforcement, information leakage management, and routing decisions from the endpoints to an ARS.

The invention discloses a knowledge management system, to be concrete, it is a kind of software to manage and demonstrate the knowledge, in this invented method, the knowledge is in the form of discrete and is neatened through the tree models; the knowledge applications are implemented via the tree nodes. Tree model which is adapted to the business processes, workflow, organizational structure, position structure, application process and so forth, can be described by the order and branches of Enterprise Application logic, tree model has its own model attributes, tree model consists of a series of nodes in a model. The tree model attributes include: model description, model attributes, model priority, model managers and other attribute information; the node model is divided into two categories: general-node model and macro-node model. In the process of implementing, the model should meet the relations between the data structures, and then based on this fundamental relations we can build more extensive tree model with attributes correlation, finally creating the lush tree structure, that is how to implement the function of combining the complex processes and knowledge and displaying them in the way of knowledge maps.

The invention discloses an automatic grading method used in C, Pascal, Fortran and Basic programming subjects. Its steps include: input program (S) designed by students and standard key; respectively analyze grammar and accidence of program (S) and standard key (Ti) and generate system dependency graph (Gs), (Gt.i); Normalize the two graphs; represent the two graphs in syntax tree to eliminate code diversification; match process result in scale, construction, depth and knowledge application four layers; give once matching score (108) and select the highest score from all matching results of (S) and (Ti) as the final score (110). With a full consideration of kinds of grading factors, the invention has a higher precision than manual grading.

The invention discloses a knowledge base management system. A Browser/Server mode structure is taken as an overall architecture of the system to perform effective knowledge wealth induction of massive files to form a methodic file classification system, and users can perform file management operations conveniently through the system. By putting user experience in the first place, the system realizes functions of top-speed file dynamic state, multi-platform file interconnection, intelligent full-text retrieval, individual rule customization, class window operation and the like. The system is characterized in that knowledge is efficiently stored in a server in a centralized manner, and a web management mode is adopted to realize knowledge assisted management and comprehensive knowledge application. In terms of the system architecture, a file server and a Web server are configured to guarantee high efficiency in file storage for the users. The system assists individuals and organizations in better utilization of knowledge wealth by effective induction, reorganization and analysis.

The invention discloses a device knowledge base creation method in the field of device operation and maintenance. The method comprises the following steps of in a data accumulation stage, performing data collection, performing data processing on the collected data, and storing the processed data to generate a database; in a demand-driven stage, performing judgment processing on the data in the database in combination with judgment criteria through a data model, locating the data to specific fault points, and outputting suggested measures of corresponding faults; and in a knowledge application stage, performing connection with SCADA, MES, remote operation and maintenance monitoring and system management software to realize knowledge application. Through the data collection, data processing, data model, code indexing, measure suggesting and knowledge application stages, targeted quick establishment and maintenance of a device knowledge base are realized; and the method has the functions of device locating, problem recognition and open integration, and can be used in device operation and maintenance.

The invention discloses a hydrological experimental simulation system and method based on a parallel system. The system of the invention comprises a procedure parameter and data forecasting and analyzing module and a learning and memory module, wherein the procedure parameter and data forecasting and analyzing module is connected with data, and a data integration module and a forecasting model module are connected with the forecasting result, and data, the data integration module, the forecasting model module and the forecasting result are connected in turn. The invention also discloses a method for performing the hydraulic experimental simulation with the system of the invention. The method comprises the following steps: determining the combination of components for data fitting, data mining, problem analysis, knowledge application and parameter analysis according to an actual demand, performing data integration, selecting a forecasting model, performing learning and memory, etc. By using the system and method of the invention, the problems in the existing hydrological applications that high performance computing requires a great quantity of computing resources, the effective integration of hydrological data and the simulation of applications are difficult to perform.

The invention discloses an ontology-based knowledge base query method and system. The method comprises the steps of defining a hierarchical knowledge structure and establishing a plurality of knowledge bases in different domains; establishing descriptive specifications of a domain ontology and a descriptive ontology based on knowledge nodes in the knowledge bases, and generating an XML specification-based ontology description document; and performing a comparative query on a query demand and the knowledge bases based on knowledge semantic query of the ontologies, and comprehensively giving out a query result of the query demand. According to the technical scheme provided by the method and system, the query of multi-domain knowledge can be realized based on knowledge base query of the ontologies, the use convenience of the knowledge bases can be improved, and the knowledge application can be facilitated.

The invention discloses a water pollution emergency analysis system based on digital earth, which mainly comprises a data integration module, a water pollution event simulation module, a water pollution event emergency analysis module and a water pollution information visualization module. The data integration module is connected with the water pollution event simulation module, the water pollution emergency analysis module and the water pollution information visualization module. The present invention can determine multi-source data fusion, water pollution incident problem analysis, water pollution incident knowledge application, component combination between parameters required for water pollution incident emergency analysis, and form practical data integration, water pollution emergencyanalysis, and water conservancy information visualization according to actual requirements. The emergency analysis system of the invention solves the problems that the data in the existing water pollution emergency analysis is difficult to be effectively integrated, the simulation effect is not ideal and the emergency analysis result is inaccurate, thereby scientifically providing decision support for responding to the water pollution emergency.

The invention provides an electric power marketing metering mobile operation system based on cloud computing. The overall architecture of the system comprises: a basic service layer comprising physical resources and management resources, the physical resources comprising a physical machine, a virtual machine, a storage and a network, and the management resources comprising an elastic computing service, a load balancing service, an elastic scaling service, a virtual network service and an object storage service; the platform layer comprises a service layer and a container layer, and the servicelayer comprises a cloud monitoring service and an access control service; and the application layer comprises micro-applications, and the micro-applications comprise on-site business application, operation and maintenance closed-loop management, knowledge application management, statistical analysis business, GIS and patrol inspection and measurement full business. According to the scheme, the problem that a system architecture database of an existing electricity marketing metering mobile operation system is poor in performance is solved, the demand change response capability and the new business access capability of the existing electricity marketing metering mobile operation system are improved, and the business service efficiency is improved.

The invention relates to comprehensive designing experiment equipment for measuring a Young modulus of a metal wire. The equipment comprises a vertically arranged bracket, a freely suspended metal wire, a micrometer eyepiece, a convex lens and a scale ruler, wherein an upper cross beam is arranged at the upper end of the vertically arranged bracket; the upper end of the freely suspended metal wire is clamped by an upper clamp and fixed on the cross beam; the lower end of the freely suspended metal wire is clamped by a lower clamp and penetrates through a central hole of a platform; the upper clamp and the upper cross beam or the lower clamp and the platform are insulated; the micrometer eyepiece, the convex lens and the scale ruler are used for being used in match with an optical lever; the micrometer eyepiece can be used for watching an image of the scale ruler in a planar reflecting mirror of the optical lever through the convex lens. According to the comprehensive designing experiment equipment and a method for measuring the Young modulus of a metal wire, comprehensive knowledge of relevant courses such as dynamics, optics, electricity and the like is organically combined together, so that a large comprehensive designing experiment which relates to multiple courses and multiple knowledge points and which is used for examining multiple experiment skills and comprehensive knowledge application is designed.

The invention discloses a BIM-based electromechanical pipeline comprehensive specification automatic inspection system, which comprises a data management module, an information processing module and aknowledge application module, and is characterized in that the data management module provides basic data support for a system platform; the knowledge application module is used for checking the distance between the MEP professional pipelines through the MEP pipeline topology rule checking module; on the pipeline with the collision problem, the selected MEP pipe comprehensive coordination measureis matched through the MEP pipe comprehensive coordination measure rule application module, the rule checking result is imported into the model, and the rule checking result is displayed in the lightweight model through the MEP pipe comprehensive knowledge base visualization module. According to the system, the phenomenon of information fault between a BIM engineer and precious expert experienceis solved, compared with a traditional working mode depending on the expert experience and a CAD drawing, the working efficiency and the quality level of pipeline comprehensive deepening design can begreatly improved, and the probability of change and rework in the actual construction process is reduced.

The invention relates to a scheduling knowledge management system for intelligent manufacturing. The system comprises a scheduling knowledge learning module driven by data, which is used for knowledgemining of scheduling data samples to obtain scheduling knowledge. A scheduling knowledge application module, responsive to receiving a scheduling request, for calling the scheduling knowledge to generate a scheduling policy matching with an intelligent workshop production state and obtaining a scheduling result; An on-line scheduling knowledge evaluation module, responding after obtaining a scheduling result, for judging the validity of the scheduling knowledge according to the scheduling result; The scheduling knowledge updating module responds when the scheduling knowledge is judged to be invalid, and is used for applying an online learning method to adjust the scheduling knowledge on the basis of adding updated samples. Compared with the prior art, the invention can better improve theadaptability of the scheduling knowledge, ensure the scheduling effectiveness, and has the advantages of continuously optimizing the overall performance of the intelligent workshop.

The invention discloses a fault diagnosis method based on a wavelet convolutional neural network, and the method comprises the steps: training a preliminary diagnosis model through employing a CNN algorithm, and enabling faults to be divided into three types: normal faults, easy diagnosis (ETD) faults and difficult diagnosis (HTD) faults; feature extraction is achieved by stacking a convolution layer and a pooling layer, and finally fault diagnosis is achieved through two full connection layers and softmax. Compared with the prior art, the method has the advantages that 1) a multi-model diagnosis framework is developed, the calculation amount of models is reduced, and valuable prior knowledge application in black box process monitoring is facilitated; 2) the rectangular convolution kerneland the pooling function are applied to the chemical data so that the feature extraction capability of the WCNN is improved, and the method can be popularized to other industrial data; and 3) the fault detection and diagnosis performance of the chemical production process is improved, and meanwhile, the calculation burden and the monitoring performance are balanced.

The invention discloses an electric power marketing knowledge system platform and an application method, and the platform comprises: a data layer which mainly comprises an electric power file, 95598 work order data, and a 95598 knowledge base; a processing layer which is used for extracting electric power knowledge from two perspectives of machine automatic mining and user self-building; an auditing layer which is used for auditing, publishing and warehousing knowledge requirements built by machines and users; a storage layer which mainly comprises an electric power document material library,an electric power entry library and an electric power question and answer experience library; and a consumption laye which is used for applying the stored knowledge to different consumption scenes. According to the knowledge system platform constructed by the invention, multi-source, heterogeneous and fragmented data are effectively integrated into knowledge which can be called by the system, so that the power marketing knowledge data processing capability is improved, the user experience is optimized, and meanwhile, the manual maintenance cost is reduced.

The invention discloses an intelligent heat supply valve control knowledge graph construction method and system, and the system comprises a data collection module, a knowledge graph module, a deep learning module, and a data storage module, and the data collection module comprises a historical data module, a network knowledge module, and a real-time data module. The knowledge graph module comprises a data classification module, a knowledge precipitation module and a knowledge application module, the deep learning module comprises an online learning module, an incremental learning module and anassociation analysis module, and the data storage module comprises a relational data module, a graph data module and a data warehouse module. A heat supply valve control knowledge graph is a typicalapplication scene in the field of heat supply knowledge, the knowledge graph can be called by business systems in various fields to provide expert-level knowledge support, the knowledge graph is builtin a cloud environment or an independent data environment, data analysis and disposal are independent of the business systems, and any resource of the business systems is not consumed.