87 results about "Knowledge processing" patented technology

A communication and analysis system can manage data operations with a vehicle centric system. A vehicle that is in a communications link with a network can also manage its activities based on real-time, historical and predictive knowledge, without having this knowledge processing on-board. Such data processing includes the geo-spatial, internal functions and operator specific requirements. The rule based system also incorporates the use patterns of a specific vehicle, or a specific user. A use pattern can be transferred from one operator to another or be shared to assist with navigation and operations. A vehicle operator or vehicle multiple operators can share or upload information that can assist with efficient operations, including fuel conservation and time management. Use patterns can be assigned to geospatial regions and be used for comparative analysis for such activities as efficient operation, safe travel and navigation.

Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of disparate data sources, indexing the data, and mapping the data. Embodiments transform raw data into relevant data through the use of natural language processing, synonymy and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a one record that includes information necessary to understand and represent that patient.

The present invention provides a communication and analysis system that can manage data operations with a vehicle centric system with a planned route path. A vehicle that is in a communications link with a network can also manage its activities based on real time, historical and predictive knowledge, without having this all knowledge processing on board. Such data processing would include a cluster analysis of geo-spatial, internal functions and operator specific requirements. The rule based system would also incorporate the use patterns of a specific vehicle, or a specific user. A vehicle operator or vehicle multiple operators could share or upload information that would assist with efficient data processing and display, including fuel conservation and time management. Cluster weighting patterns can be assigned based on activities as efficient operation, safe travel and navigation.

The invention discloses a disease knowledge map construction method and a system, a device and a storage medium thereof, belonging to the technical field of disease knowledge maps. The disease knowledge map construction method comprises the following steps: extracting or learning entity, attributes and relationships among entities from a multi-source database to form ontological knowledge representation; B. knowledge fusion: integrate knowledge to eliminate contradictions and ambiguity; C. Knowledge processing: After quality assessment, the fused knowledge is added to the knowledge base. It also includes disease knowledge mapping platform system, equipment and storage medium. Aiming at the problems existing in the prior art, it extracts entities, attributes and their relationships from multiple data sources, and fuses and processes them, so as to quickly construct a normalized and standardized disease knowledge map.

The invention discloses a method for dynamic construction of a professional field mapping knowledge domain based on term paraphrase knowledge units and relates to the field of computer information management and information processing. The method is characterized in that a natural knowledge processing technology is used to extract and update knowledge units automatically from a real text; real contents of professional knowledge can be reflected by finer granularity contents; dynamic updating and management can be achieved; traditional problems such as insufficient timeliness, excessive subjectivity and difficult updating and maintenance caused by pure dependence on manual judgment could be solved; and a better technological manner can be provided for construction of a large knowledge library in professional fields. In addition, a mesh-shaped topological structure is adopted, so correlation between the knowledge units is closer, and semantic dimensions become diversified; a visualized knowledge map manner is used for visualized display, so a good knowledge foundation can be laid for automatic finding, inference and computation of knowledge; and the method can support engineering application effectively.

Art asset rendering systems and methods in which pre-processing is performed in a compilation process. Geometric data are processed in the compilation process with knowledge of associated shading programs. The data are converted into data structures targeted directly to a target hardware platform, and a code stream is assembled that describes the manipulations required to render these data structures. The compiler includes a front end configured to read the geometric data and attributes (an art asset) output from a 3D modeling package and shaders in a platform independent form and perform platform-independent optimizations, and a back end configured to perform platform-specific optimizations and generate platform-targeted data structures and code streams.

The invention discloses a knowledge graph-based mechanical fault diagnosis knowledge base construction method, and belongs to the field of mechanical fault diagnosis. A mechanical fault diagnosis knowledge base reflects fault generation essences and domain expert experiences; and through a knowledge processing module, the fault generation essences and the domain expert experiences are stored in the knowledge base, thereby providing support for mechanical fault diagnosis. A conventional knowledge graph is represented in a network form; nodes represent entities; connection lines represent relationships; and for the representation form, a special graph algorithm needs to be designed for storing and utilizing a database, so that the disadvantage of time and labor waste exists. According to a representation learning technology represented by deep learning, a triple object is mapped to a vector space and represented as a dense low-dimensional vector, and efficient calculation and reasoning are realized through vector conversion. The knowledge graph-based mechanical fault diagnosis knowledge base construction method is established; mechanical fault diagnosis knowledge is represented as atriple, and the tripe is represented as the vector by utilizing a TransD model, so that the problems of inaccurate case representation, difficult maintenance and modification, low reasoning and calculation efficiency and the like of a conventional knowledge base can be optimized; and the method has important significance for the field of fault diagnosis.

The invention discloses a method for constructing a public safety knowledge map. The method comprises the following steps of 1 carrying out the ontology modeling according to data sources and businesscharacteristics covered by the public safety field; 2 carrying out knowledge extraction from that current public safety data source; 3 storing that extracted knowledge in a combine manner of a graphdatabase, a relational database and a document database; 4 fusing knowledge collected from each data source; 5 performing the knowledge processing on the knowledge map which is used to complete the knowledge fusion. The invention makes the knowledge covering the public safety field more comprehensive under the condition that the data source is sufficiently supported.

The invention discloses an energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment. A process interface module is connected with a cold, heat and electricity triple supply subsystem and a load subsystem. The system comprises a demand forecasting module, a boundary analysis module, a constraint processing module, an optimizing module, a performance evaluation module, a knowledge processing module, a data storage module and the process interface module which are interconnected with a man-machine interface module. Through energy demand forecasting and related optimized calculation on the load system, the system finishes optimization and dispatch of energy yield of energy conversion equipment, can realize dynamic balance between the cold, heat and electricity supply and the demand, and fulfills the purposes of improving the utilization efficiency of energy, saving energy and reducing emission.

The present invention tightly integrates and significantly leverages media capture systems to realize a ubiquitous collaborative multi-user environment, referred to as TalkingPaper, taking full advantages of what each unique medium can offer and further enhancing their respective functions and utilities. The invention comprises a paper-pen based knowledge capture subsystem A and a knowledge processing subsystem B. A user uses a subsystem A compliant pen to sketch on a piece of subsystem A enabled paper. The sketching activity, speech and gesture are recorded by the pen, which sends the captured data to a multi-threaded application server of subsystem B for further processing. The server converts and indexes the data to associate and synchronize each line stroke with corresponding audio time frames and enable the content interaction. Thus, users can easily find, select, and replay a session with synchronized speech, text, and video to understand the rationale behind certain ideas or decisions.

The invention discloses a method for obtaining irregular knowledge used for constructing a mechanical product design knowledge base. Aiming at the requirements for knowledge processing and knowledge base system development in the mechanical product design field, the invention defines the irregular knowledge, discloses a computation module for dividing irregular knowledge granularity by adopting granularity calculation principle, studies mechanical product design irregular knowledge base structure system and basic format, discloses an irregular knowledge base display method based on metadata, and invents a method for obtaining semantic matching, irregular knowledge base in serial data source, and multi-mode irregular knowledge based on irregular example knowledge obtaining of cluster analysis; and on the basis, designs a system frame and a prototype software system for mechanical product design knowledge base system construction and application. The invention can be used to solve the technical problem of treating irregular knowledge in an information processing system such as CAD (computer-aided design), CAM (computer-aided manufacturing), CAE (computer-aided engineering) or PDM (products data management) in manufacturing industry, so as to satisfy the requirements for the deepening development of the manufacturing industry information project technology.

The invention discloses a domain knowledge processing method and device. The method comprises the steps that target text data is obtained, wherein the target text data comprises at least one piece of domain knowledge; the target text data is analyzed based on a preset semantic description rule, and two knowledge entities of each piece of the domain knowledge in the target text data and an entity relationship between the knowledge entities are obtained; the two knowledge entities in each piece of the domain knowledge and the corresponding entity relationship are combined, and a knowledge ternary group of each piece of the domain knowledge is generated; a structured domain knowledge ontology corresponding to the target text data is constructed based on the knowledge ternary groups. Differing from the situation that in the prior art, structured processing is conducted on the domain knowledge in a manual sorting mode, and the efficiency is low, according to the domain knowledge processing method, a semantic parsing scheme is utilized for obtaining the knowledge entities in the domain knowledge and the entity relationships, structured knowledge ternary combinations are formed, the domain knowledge ontology is constructed, and therefore the efficiency of structured processing of the domain knowledge is improved.

The invention relates to a Shanghai dialect phonetic recognition information processing method, which includes steps that: 1) a voice input device inputs Shanghai dialect signals; 2) a preprocessing module preprocesses the input Shanghai dialect phonetic signals; 3) a feature extraction module extracts feature parameters reflecting signal features; 4) a training module performs preprocessing and feature parameter extraction on training phonetic signals input by users for a plurality of times to obtain feature vector parameters and then a feature modeling module builds a reference model base for training voice; 5) a recognition module carries out similarity comparison on feature vector parameters of the input voice and models in the reference module base and outputs the input model with the highest similarity as a recognition candidate result; 6) a postprocessing module performs phonetic knowledge processing on the recognition candidate result in step 5) to obtain the final recognition result; and 7) the final recognition result is output through a voice output device. Compared with the prior art, the Shanghai dialect phonetic recognition information processing method has the advantages of being high in recognition speed and the like.

A knowledge processing system that guides massive numbers of human agents and artificial agents to define, explore, and develop solutions for complex, problematic situations, that facilitates a seven-step process that proceeds from instance initiation, problem definition, problem exploration, approach selection, solution selection, to a time-sequenced action plan, and enables agents to subsequently modify process outputs and the action plan; a hybrid facilitation system in which machine and human agents jointly select the content and order of process steps and the system prompts that guide the problem-solving process; and an information-overload mitigation system which reduces the amount of information agents are required to process by means of natural language processing and graphical processing algorithms that characterize agent inputs and background materials, and identify, tag, sequester, and eliminate identical content and direct useful content to agent-defined points of application in the process.

The invention discloses a wireless sensor network data transmission method based on a double-layer fuzzy algorithm. The wireless sensor network data transmission method comprises the following steps:initializing a network and determining a node position; determining an energy consumption model; determining the quantity of cluster heads; carrying out clustering by adopting an improved algorithm; carrying out fuzzy knowledge processing to determine the cluster heads; sending information to the cluster heads by in-cluster nodes; sending the fused data of the in-cluster nodes between the clusterheads by utilizing a fuzzy rule processing manner to a base station; finally, judging whether conditions of finishing a network life cycle are met or not; after all the nodes in the clusters are dead,carrying out next-time clustering so as to effectively prolong the life cycle of the network, balance the energy consumption of the network and optimize the performance of the network.

The invention discloses a knowledge graph construction method, which comprises the steps of constructing an ontology model, and constructing the ontology model according to data sources and service features related to a domain where a preset application scene is located; carrying out knowledge extraction and knowledge fusion, and removing repeated entities, attributes and relations; carrying out entity disambiguation, calculating similarity according to the extracted keywords, and removing entities of which the similarity is lower than a first preset threshold in the text information; carryingout knowledge processing, processing the knowledge graph after knowledge fusion and entity disambiguation, and constructing the knowledge graph of the enterprise. The invention further discloses a knowledge graph construction system and computer equipment. In the steps of knowledge fusion and entity disambiguation, repeated entities with ambiguity, polysemy and the like are removed, and a high-quality knowledge graph is constructed.

The invention provides a system for automatically analyzing a patent text, which comprises an expert knowledge processor, an ontology processor, a language knowledge base, an expert knowledge base and an ontology knowledge base; the working relation between the expert knowledge processor and the ontology processor is the parallel relation; and the expert knowledge base and the ontology knowledge base also have the parallel relation. The invention also provides a method for automatically analyzing the patent text; with the language knowledge base, the expert knowledge processor is utilized to carry out extraction and structuralized expression on patent full-text data of a patent database to generate the expert knowledge base and automatically update the expert knowledge base; and with the language knowledge base, the ontology processor is utilized to extract ontology from the patent full-text data of the patent database and identify the ontology relation to generate the ontology knowledge base, and automatically update the ontology knowledge base.

The present invention discloses methods, systems, and tools for knowledge processing by building maps of ontological subjects for compositions or the contents accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject power spectrum to each composition or ontological subject. The resulting power spectrum and the adjacency matrix of the map are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery. The invention serves knowledge seekers, knowledge creators, inventors, discoverer, as well as general public by assisting and guiding users to assess their work, identify their unknowns, optimize their research trajectory, and provide higher quality contents. The method and system, thereby, is instrumental in increasing the speed and efficiency of knowledge acquisition, discovery, retrieval, as well as faster learning and problem solving.

The invention relates to a reinforcement learning based law cognition method and device and a medium, and aims at improving the artificial intelligence (AR) level, especially the AR level in the law field, via machine reinforcement learning and law knowledge feedback by utilizing machine learning technologies in the field of AR. According to the method, device and computer readable medium, law knowledge atlas is called, law concepts are obtained, the confidence of the law concepts is evaluated, a law cognition result is obtained, an evaluation network of the law cognition results is established, and the law knowledge atlas is back fed and reinforced via the evaluation network. An evaluation mechanism is introduced to law knowledge identification and processing, and the law knowledge processing capability of AR is improved.

The invention relates to a Mongolian digital knowledge base system construction method, comprising the following steps of: acquiring Mongolian roots / stems and describing relevant knowledge attribute information of roots / stems, and generating a knowledge processing field unit of roots / stems; acquiring members with different forms of Mongolian roots / stems to form a member database; establishing a regular system for defining the regulations of the combinable members of roots / stems, carrying out free combination in the members and encapsulation and nestification of the members; generating an attribute filed unit used for limiting word combination relation of Mongolian; and generating a statistic tool unit for carrying out Mongolian real-time statistics. The Mongolian digital knowledge base system dynamically acquires Mongolian information by a known Mongolian keyboard input mode and a Mongolian OCR identification input mode, converts the Mongolian information into rich knowledge of Mongolian in real time, and provides technical support for digital application, digital teaching, digital learning, digital study and digital development of Mongolian.

The invention provides an intelligent plan recommendation method based on a knowledge graph, and the method comprises the steps: building the knowledge graph in a mode from bottom to top, completing the preliminary construction of the knowledge graph through three steps: information extraction, knowledge fusion and knowledge processing, and carrying out the iteration, optimization and updating ofthe knowledge graph through repeating the three steps. According to the recommendation method, entities, relationships and attributes in massive structured data, semi-structured data and non-structured data can be extracted by processing the massive structured data, semi-structured data and non-structured data, and a comprehensive and practical knowledge graph is constructed; and based on the knowledge graph, a plan recommendation technology is researched, a plurality of schemes matched with the scene is optimized from a plan library, and the schemes are recommended to commanders and fighters.

The invention belongs to the technical field of traditional Chinese medicine knowledge processing and discloses a method for establishing a knowledge map of traditional Chinese medicine. The system for establishing the knowledge map of traditional Chinese medicine comprises a data acquisition module, a data mining module, a data processing module, a knowledge map output module and a retrieval module. The invention outputs the processed data through a data mining module in the form of a structural network, which is easier to visualize, and can accurately express the special association betweenthe prescription of traditional Chinese medicine and the medicament, thereby solving the problem that the prior art is unable to accurately analyze the prescription of traditional Chinese medicine andthe medicament. By improving the existing Gibbs sampling method, the derivation process is simplified, the solution effect is good, and the data processing time is reduced. At the same time, throughthe analysis and processing of a set of keywords provided by the user, the retrieval module can infer the user's retrieval intention, and organize the retrieval results appropriately according to theinference results, so as to better meet the user's retrieval expectations and improve the accuracy of the retrieval results.

The invention relates to an address knowledge processing method and an address knowledge processing device based on graph. The method comprises the following steps: (10) syncopating an address text into an address word sequence; (20) performing part-of-speech tagging on each address word in the address word sequence according to a predefined part-of-speech tagging set which reflects features of address words; (30) performing dependency grammar analysis on the tagged address word sequence according to a predefined address word dependency rule, and using physical address words as nodes, so as to obtain a side which reflects the dependency among the physical address words; (40) comparing with the original content of an address knowledge base, and inputting the newly added nodes or side into the address knowledge base. The invention further provides the address knowledge processing device based on the graphs. According to the address knowledge processing method and the address knowledge processing device based on the graphs, address information can be organized according to the inherent logic among addresses, so as to form the address knowledge base; the address query precision can be increased by utilizing the address knowledge base; a reasoning function based on address knowledge can be supported.

Described is a knowledge representation language and knowledge processing environment. Embodiments described include an environment for storing, retrieving, transmitting, and reasoning over knowledge. Knowledge is represented using three basic elements: (1) there are concepts, which represent objects or ideas; (2) there are relations, which represent structures and describe the roles concepts play in relation to each other within those structures; and (3) there are graphs, which represent situations or collections composed of concepts, relations, and graphs.

The present invention involves a system for processing and acting on information comprising a processor and associated storage with a plurality of knowledge units. Each knowledge unit includes at least one item of data or a sequence of further knowledge units. An observation software module obtains experiential data from external events and stores experiential data in a Universe of Information Units. An operator software module acts on information units in a plurality of operations including at least one of: conditional association, causal relationship, assignment of a value, editing operation, self-observation, shock initiation, shock resistance, threshold determination, and generalization. A dynamic engine software module coordinates interaction of the observation and operator software modules and modifies contents of the knowledge units. An energy software module directs activation of at least one knowledge unit. A goal software module applies rules for determining actions of the dynamic engine module. An object software module encapsulates information units. A domain software module provides a predetermined set of information units relating to a particular domain, and has a rules software module that determines dynamic rules for the predetermined set of information units.

The invention discloses a method for automatic identification and comprehension of engineering drawing, including the following steps: a CAD electronic engineering drawing is input by a user; according to the type of the input engineering drawing, a knowledge representation file which contains the knowledge description of the engineering filed is automatically selected; the engineering object graphic definition and the object correlation and constraint of the knowledge representation file are read by a knowledge processor and then are transmitted to an object recognizer for fast search and recognition of the designated object from the input engineering drawing. The method which realizes automatic identification and comprehension of engineering drawing by means of computer program ensures effective identification and comprehension of complex engineering drawing by a computer along with accurate result and high reliability, thereby effectively solving the problem of inefficiency of computer program in automatic identification and comprehension of engineering drawing.

Techniques disclosed herein decouple a document's structure from its general content wherein the structure is retained in plaintext (both at a client device and in a server system) and the data is retained in cyphertext, and where the cloud-based server system is not tasked with the saving or management of the relevant cryptographic keys. Because the network- or cloud-based server system has “zero-knowledge” about the document's data content or the relevant cryptographic keys, an attack on the server system does not put the security of the document's data at risk. In addition, the network- or cloud-based server system may be used to perform the computationally intensive tasks of converting the document between a first format (often associated with a full-function document processing application not supported by the client device) and a second format (easily displayed and manipulated by a client device).

The invention discloses a method for monitoring shopping center business type development. The method mainly includes the following steps that firstly a data tag is built; secondly, sedimentation of mass enterprise data is formed; thirdly, a data scientific collection scheme is achieved; fourthly, a knowledge processing procedure is simulated; fifthly, a dynamic analysis index is built; fifthly, a visual diagram is formed. Formatting definition is conducted on networks and brands, frequent conversion relations between the networks and the brands can form a visual interactive diagram through large data processing, all industries in the market, the development scale changes of all business types, the capacity of the market and the area hotness and coldness are objectively described, market risks and consumption conversion signals are revealed, and referential standards are available for industry and area investment. Investment groups can study to make market decisions according to the information, blind expansion is reduced, if the whole society has the risk warning vane, the whole market change rate can be reduced to 15 percent from 20 percent, and therefore the waste of social resources can be greatly reduced.

The invention discloses an indoor environment feature extraction method based on entropy and gray correlation degree. The indoor environment feature extraction method includes that related technology in an information theory is utilized to complete gradual cognition of environment through a knowledge processing method simulating human processing environment information; environment feature extraction is realized by utilizing entropy and gray correlation degree, calculation and information storage cost is reduced to greatest extend, and data processing robustness is improved; environment features are updated through entropy when a robot wanders, so that instantaneity and accuracy of sonar data processing are improved; indoor environment feature extraction based on entropy and gray correlation degree can be effectively used in moving robot positioning, map building and path planning, so that accuracy and robustness of robot navigation tasks are improved.