46 results about "Knowledge base management systems" patented technology

The invention discloses a fault diagnosis expert system based on a decision tree for an industrial Ethernet network. Firstly, an expert system comprising a knowledge base, an inference engine, a knowledge base management module, a knowledge acquisition module, an explanation facility and a control center is established; secondly, the knowledge base is utilized to contact the inference engine and the control center to obtain data required by the modules for storing a diagnosis rule, various pieces of data of the system and an intermediate result generated during the system diagnosis period; thirdly, comparison, commonly called as matching, is carried out between a condition part of a rule base and a content of a global data base through the inference engine, if matching is successful, a conclusion part is displayed, the global data base is modified according to an action part of an enable rule, the changed global data base can trigger a new rule, so that problem solving proceeds to the next state, and so forth, one problem is finally solved; and lastly, post processing is carried out through the inference engine, a new knowledge base is updated by the control center, so that the expert system is gradually improved.

The present invention discloses a dialogue method of an intelligent customer service robot and a knowledge base management system of the intelligent customer service robot. The method comprises: presetting one or more question and answer pairs in a knowledge base, and collecting statistics of association degrees among the question and answer pairs; searching for a corresponding question and answer pair in the knowledge base according to a question raised by a visitor; providing an answer in the question and answer pair for the visitor; and furthermore, by using the question and answer pair as a basic question and answer pair, providing an associated question in an associated question and answer pair corresponding to the basic question and answer pair for the visitor according to the statistical association degrees among the question and answer pairs. Therefore, communication efficiency is greatly improved, and big data of the knowledge base and algorithm management are used to assist the user to obtain a desired result more quickly, and user experience is better.

The invention discloses an intelligent engineering operation and maintenance supervision method. The method comprises an infrastructure layer, an information resource layer, an application support layer, an application layer and a user layer. The infrastructure layer is used for providing a network, hardware and server environment, securing platform operation. The information resource layer provides basic information data and service data, and uploads the data to an application support layer. The application support layer aggregates dispersed and heterogeneous applications and information resources. Through unified access entry, basic services are provided for an application layer. The application layer provides a software operation entrance for the user layer, the user layer provides a system visual operation interface for a user, and the application layer comprises a project management system, a construction management system, an inspection management system, an operation and maintenance management system, a knowledge base management system, an asset management system, a statistical report system, a process management system, a system management system and a WeChat applet. The engineering project is integrally supervised, so that the operation and maintenance management cost is reduced, and the working efficiency is improved.

The invention discloses a fusion knowledge base processing method and a device and a knowledge base management system. The fusion knowledge base processing method comprises the steps of extracting a knowledge classification catalogue from a common problem FAQ library and an ontology knowledge base, wherein the ontology knowledge base comprises a knowledge ontology and a ontology relation, based on the knowledge ontology, ontology relation and the knowledge classification catalogue, mount the contents of the FAQ library into the ontology knowledge base, and generating a fusion knowledge base. The fusion knowledge base processing method solves the problem that in the prior art the performance of the FAQ system can hardly be enhanced because the retrieval question answering system, the question answering system based on the knowledge base and the community cooperative question answering system have many defects in the practical application.

The invention provides a classified management method applied to security baseline software, pertaining to the technical field of host security. The method comprises following respects including nodal point management, strategy management, knowledge base management, resource management, user management, log forms, alarm management and a security center. The classified management method applied to security baseline software has following beneficial effects: the method can be applied to the government, and enterprises and institutions so that comprehensive security kernel configuration services for computer terminals can be provided to help government-related departments set up a system for standardizing terminal security management, thereby obtaining the best management effect. The security and operation and management efficiency of computer terminals can be significantly improved so that security of government information is ensured.

The invention discloses a smart home system and a service generation method thereof. The smart home system comprises a smart home simulation platform, wherein the smart home simulation platform communicates information with a knowledge base management system and a service robot platform, and the smart home simulation platform and the service robot platform respectively receive information collected by a sensor system. In the invention, the corresponding sensor system is deployed to monitor behavioral activities and abnormal activities of a user in the case of being not interfered with the behavioral activities and privacy of the user, such as activity sequence monitoring and tumble detection. Meanwhile, the smart home system can realize real-time environment monitoring and autonomously provide abnormal services such as the environment and behaviors.

The invention relates to a gene detection knowledge base construction method and system. The method comprises the steps of constructing a database entity table, an associative table of public databases and an associative table of text mining; constructing an associative table scoring system; and constructing a matched database management system. According to the method and the system, a knowledge base is constructed in a semi-automatic and semi-artificial manner; not only deviation and omission of artificial construction but also credibility difference of the public databases are considered; a text mining algorithm and public database information collection software are integrated in an automatic collection step; a core library and candidate libraries are designed; entries with fuzzy scores are artificially checked through a check library; database contents are managed in an automatic updating manner; and a matched knowledge base management system is designed, so that the databases can be subjected to content query, check, modification and version management conveniently.

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 relates to a medical knowledge management system, which comprises a service database, a case database and a body database, and is characterized in that the service database is a current isomerous medical information system; the isomerous medical information system is used for providing uniform interfaces by using a Web Service to realize construction, resolution and transmission of messages; and a Service Adapter, a WSDL (Web Services Description Language) Generator assembly and a Service Publisher assembly are arranged in the isomerous medical information system. The invention further relates to a construction implementation method of the management system, which is applied in the field of medical knowledge management. The aims of constructing a medical field knowledge base management system based on an SOA (Service Oriented Architecture) are of integrating a common technology and a medical service key technology by taking a medical service institute as a main body and taking medical resource and information sharing as a goal, constructing a regional collaboration community medical public service system, and maximizing the utilization of the knowledge and experience of experts in the medical field.

The user-defined inference rule is created using a knowledge base search language that is basically provided in a knowledge base management system. Accordingly, the user-defined inference rule is a knowledge base search statement and is processed using a function of searching a knowledge base as a base function of the knowledge base management system. The user-defined inference rule is applied by including a knowledge base search process and a search result in the knowledge base, when the knowledge base is changed. The user-defined inference rule is managed by a user-defined inference rule manager. The user-defined inference rule manager monitors a change in the knowledge base to determine when the user-defined inference rule is applied, executes the user-defined inference rule to obtain the execution result, and includes the execution result in the knowledge base.

An object oriented knowledge base management system includes a knowledge based management module to coordinate one or more rule based application software programs (e.g., expert systems) through a knowledge based management and application inference. The knowledge based management module coordinates one or more database management modules, which includes one or more drama model format rule bases and one or more databases. A drama model format rule base stores dramas defined under particular drama model formats and provides the access of users to edit inference rules through a uniform format. Each drama comprises a group of inference rules and a group of roles, which function as objects of the inference rules. The inference relations may exist between or among dramas, and inheritance relations may exist between and among roles.

The invention relates to the field of artificial intelligence, the invention discloses a file classification method and device of a knowledge base management system, equipment and a storage medium, and aims to set labels for new and old data in the knowledge base management system and classify the new and old data through a natural language processing technology, facilitate convenient management of data by a investor, improve the management efficiency, facilitate data retrieval of a user and improve the retrieval efficiency. The method comprises the steps of obtaining a target data file in a knowledge base management system; obtaining a target data text in the target data file; analyzing key information of the target data text through a preset knowledge base classification model; setting aclassification label of the target data file according to the key information of the target data file; associating the classification label of the target data file with the target data file by establishing an index; and if a retrieval instruction of the user is received, displaying the target data file on the retrieval page according to the target classification label carried in the retrieval instruction of the user.

The invention relates to a special equipment safety risk management and control big data monitoring system and monitoring method, belonging to the field of special equipment safety risk monitoring. The system comprises a special equipment safety risk prior evaluation knowledge base system, a risk object real-time sample data collection system, a storage statistical system, a risk probability calculation system, a safety management and control measure knowledge base management system and an analysis result inquiry system. The risk object real-time sample data collection system uploads data to the storage statistical system through a cloud server. The risk probability calculation system carries out real-time big data calculation and analysis on the data of the special equipment safety risk prior evaluation knowledge base system and the storage statistical system. The risk probability calculation system carries out analysis judgment and then calls the safety management and control measureknowledge base management system, and a judgment result and countermeasures are transmitted to the analysis result inquiry system through the cloud server.

The invention provides a multi-language unified IT operation and maintenance knowledge base implementation method. The method comprises the following steps: saving characters to be translated in a translation database so as to build a pre-translation pool; matching and replacing corresponding characters in a source file by using the characters to be translated in the pre-translation pool so as to obtain a pseudo translation file; completely translating the pseudo translation file through the network and / or the machine to obtain a complete translation file, and saving newly-added translation characters in the complete translation file in the pre-translation pool. The method is suitable for building a multi-language IT operation and maintenance knowledge base management system and realizes automatic translation, the automatic translation function can be unceasingly accumulated and perfected along with upgrading and using of the product, and the translation efficiency and quality between different area versions, different upgrading versions, and different language knowledge records are improved.

The invention discloses a block rapid well logging evaluation linkage platform system which comprises a user operation subsystem, a knowledge linkage subsystem and a knowledge base subsystem. The user operation subsystem comprises a data loading module, a material correctness analyzing module, a well logging material standardization module, a main control factor analyzing module, a storage layer parameter modeling module, a parameter accuracy assessing module, a fluid identification module and a material look-up module; the knowledge linkage subsystem comprises a knowledge linkage platform, a file processing platform and a data service platform; the knowledge base subsystem comprises a knowledge base module, a knowledge base management system module and a knowledge base classification integration system module; the knowledge base subsystem, the knowledge linkage subsystem and the user operation subsystem are combined together, so that real-time and complete process guidance, technical support and real-time monitoring are provided for block rapid well logging evaluation conducted by a user. A made evaluation result provides rapid and reliable dependence for strategies of oil and gas field purchase, joint venture management and the like.

The invention discloses an annotation method for the structured analysis of a Chinese electronic medical record text, and belongs to the technical field of big data. The method comprises the steps: establishing an annotation system, wherein a person participating in the annotation to perform Chinese word segmentation, word property and named entity annotation of the original table of the medical record annotation through a Web page to generate an annotation result table, thereby solving the problem of the simple annotation of the word segmentation, word property and named entity of the electronic medical record text. The invention simultaneously stands at the perspectives of a labeler and an algorithm designer. On the one hand, the annotation system is simple and easy to use, the annotation work intensity of the labeler is minimized, and the error rate is reduced; on the other hand, the annotation system is designed to be in seemliness butt joint with a knowledge base management systemand a core algorithm system, i.e., directly injecting original electronic medical record data into the labeling system after the original electronic medical record data is preprocessed, and the output of the labeling system directly serves as the input of the core algorithm system.

The invention provides a knowledge base content sharing and learning system and method based on a distributed network environment. Through the knowledge base content sharing and learning system and method, efficient and secure transmission of knowledge in a knowledge base among distributed nodes is realized, and the hit rate of retrieval of the knowledge in the knowledge base is increased by the adoption of a machine learning algorithm. The system comprises center nodes and child nodes in communicating connection. The center nodes include a message queue server, a knowledge base management system, a search engine server and a machine learning server, wherein the message queue server is used for uploading and issue of the knowledge; the knowledge base management system is used for input andreview of the knowledge; the search engine server is used for knowledge retrieval; and the machine learning server is used for correcting the knowledge retrieval order. The child nodes include a knowledge base management system, a search engine server and a machine learning server in communicating connection. According to the method, the knowledge in the knowledge base provides rich text editingand uploading; vertical bidirectional sharing and horizontal management are performed on the knowledge in the knowledge base; and a search training mechanism is established through the machine learning algorithm to correct the knowledge retrieval order.

The invention discloses an enterprise private cloud-based knowledge base management system and method. The system adopts a Client / server architecture and mainly comprises a client and a server, wherein the server is used for carrying out authority management on different users and carrying out storage, updating and synchronous management on all the files in a knowledge base; and the client is automatically logged in during the startup of each time and is used for automatically synchronizing with files of the server in real time. The method comprises the following steps of: carrying out authority management on different users by utilizing the server and carrying out storage, updating and synchronous management on all the files in the knowledge base by utilizing the client; and automaticallysynchronizing with the files of the server in real time by utilizing the client. Through the system and method, the information safety can be improved; and the server and the client carry out information interaction and the client automatically synchronizes with the files of the server in real time, so that convenience is brought to improve the information share efficiency and then the team cooperation efficiency is enhanced.

The invention relates to a knowledge base management system based on spatial geographic information, comprising an infrastructure layer, a think tank data layer, a system support layer and a user display layer. The infrastructure layer forms a data connection with the think tank data layer, the think tank data layer forms a data connection with the system support layer, and the system support layer forms a data connection with the user presentation layer. The infrastructure layer is used for providing the related hardware support for the storage, exchange and sharing of the related data; the think tank data layer is used for cleaning, synchronously updating and storing the input data; the system support layer is used for providing corresponding functions for data uploading, inquiry, interaction, sharing and analysis; the user presentation layer provides the WEB end and the APP end with the related knowledge base management service for the user. The invention realizes visual uploading,editing and sharing of documents, and provides an efficient path for file management.

The invention discloses a spatial big data mining system based on clustering. The system comprises a data access module, a clustering module, a user interaction module and a knowledge base managementmodule, wherein the data access module is responsible for providing a data access function, can be used as a data access interface of the clustering module and the user interaction module, and completes access to heterogeneous and heterogeneous data in a spatial database at the same time; the clustering module is responsible for receiving and analyzing a data mining task request of the user interaction module, obtaining corresponding data through the data access module and completing clustering analysis, and finally transmitting a corresponding model back to the user interaction module; the user interaction module is responsible for helping a user to complete the interaction process of selecting a data mining algorithm, modeling, loading training data and completing prediction; and the knowledge base management module provides a transparent interface between the clustering module and the user interaction module and provides powerful support for spatial decision.

The invention provides a method and system for automatically combining reports based on chapter labels, which comprises the following steps of: scoring collected historical reports, splitting the historical reports according to report types and report chapters of the historical reports, and storing the split reports into a knowledge base management system according to the report types, the report chapters and project types; the method comprises the following steps: establishing a template according to different report types, calling a report template from a template library, screening high-quality chapter pages from a storage space or recommending the high-quality chapter pages by a system according to the selected report type and project type, combining reports, and adjusting the combined reports according to requirements. According to the method, an enterprise can be helped to accumulate and integrate document resources, an enterprise knowledge base is constructed, waste of massive document resources is avoided, a user can be helped to write a report, and report writing quality and efficiency are improved.

The invention relates to a machining error knowledge base system. The machining error knowledge base system comprises a human-computer interaction interface; the human-computer interaction interface comprises a machining error knowledge construction interface and a machining error knowledge acquisition interface; an expert from a machining error field and knowledge from a machining error knowledge source are converted into a production rule by using a machining error knowledge acquisition mechanism; the production rule is stored into a machining error knowledge base through a knowledge base management system; a user submits a machining error fact to a synthesis database through a machining error knowledge acquisition interface of the human-computer interaction interface; an inference machine is used for carrying out matching processing on the machining error fact submitted by the user in the synthesis database and an antecedent of the production rule in the machining error knowledge base, and then a consequent of a found matched rule is considered as an inference conclusion which is then stored to the synthesis database; the user acquires the inference conclusion through the machining error knowledge acquisition interface. The machining error knowledge base system has the advantages of favorable reliability, expandability, intelligence and the like.

The invention discloses a knowledge competition system and method, and the system comprises an underlying knowledge base management system which is used for creating a competition test question bank,competition participation personal data, a participation unit database, and a parameter regional database; a logic processing system used for carrying out answer verification and test paper submissionverification, and after judgment is completed, information is put into storage; a statistical analysis system used for carrying out data statistical analysis of different dimensions through competition indexes and personal participation scores and information; and a terminal application system used for the participating crowds to participate in the competition through different terminal modes. The method comprises the following steps: selecting a group to start answering; Establishing a Token verification code of the answer; after the question is answered, submitting an answer sheet; Verifying whether the user logs in; if the Token verification code is logged in, verifying whether the Token verification code is correct; if the answer sheet is correct, entering an answer sheet answer processing queue; after entering the answer sheet answer processing queue, waiting for consumption, then performing warehousing processing, and after processing is completed, returning an answer sheet result page to restart answering.

The invention provides a knowledge base management system. The system comprises a knowledge base edition module, a knowledge collection module and a knowledge browsing module, wherein the knowledge base edition module is used for adding knowledge information into a knowledge base and classifying the knowledge information; the knowledge collection module is used for collecting the knowledge information in the knowledge base into personal favorites by users; and the knowledge browsing module is sued for browsing detailed knowledge information by the users. According to the system, fortunes in user knowledges are extracted, effective knowledge fortune conclusion is carried out on mass files on the basis of convenient operation so as to form an organized file classification system, and users can carry out convenient file management operation through the system, so that the functions of top-speed file dynamics, multi-platform file interconnection, intelligent full text retrieval, personalized rule customization and class view window operation are realized.

The invention belongs to the technical field of software, and particularly relates to a knowledge base management system based on agricultural big data and a function design method thereof. The systemis composed of a knowledge base module and a knowledge reasoning module, wherein the knowledge base module comprises rule, case, body, scheme and model unit management and knowledge hypergraph management; the reasoning module comprises reasoning problem input and reasoning process display; a four-layer architecture including a presentation layer, an application service layer, a universal component layer and a database layer is adopted. The system function design method comprises the steps of rule unit management design, case unit management design, ontology unit management design, scheme unitmanagement design, model unit management design and knowledge hypergraph management design. The method has the advantages that resource sharing is achieved, the overall management level is improved,and a large number of semantic descriptions lacking unification are unified.

The invention relates to the technical field of management systems, and particularly relates to a private knowledge base system. The system comprises a private knowledge base management system which is used for a knowledge base development team to develop and update a knowledge base managed by an online system and other managements; a knowledge base connected with the private knowledge base management system and used for storing professional knowledge; a version management tool module connected with the private knowledge base management system and used for monitoring and updating system versions, and a development group C / S client and a development group B / S client connected with the private knowledge base management system and used for development group management and coordination. The technical scheme provided by the invention can effectively overcome the defects of slow version updating, incapability of timely recording new knowledge, complex book propagation, easiness in piracy andlack of coherence and professionality of knowledge inquired and obtained from a network in the prior art.

The invention discloses a metering device installation and inspection skill three-dimensional simulation training system which comprises an intermediate server, the intermediate server is in bidirectional connection with the self-learning system, and the self-learning system comprises a theoretical learning module, a multimedia learning module, a physical simulation learning module and a self-testlearning module, the intermediate server is in bidirectional connection with the big database updating module, the intermediate server and the knowledge base management system relate to the technicalfield of electric power. The metering device installation and inspection skill three-dimensional simulation training system can better realize the simulation of electric energy metering meter wiringand the diagnosis of various error wiring lines, the purposes of enhancing the function and expandability are achieved, and the operation is very simple, the practicability is high, and visual teaching and application are well achieved, so that the purposes of saving training cost and improving the training effect are achieved, and good economic and social benefits are achieved.

The embodiment of the invention provides a data update method, a data update device, a medium and electronic equipment. The method comprises the steps as follows: an intelligent question-answer robotimports historical question-answer records meeting a preset requirement stored in a first knowledge base system into a knowledge base management system, so that knowledge managers label and check eachpiece of question-answer data in the historical question-answer records via the knowledge base management system, and sends the checked question-answer data and determined operating information corresponding to the checked question-answer data to the intelligent question-answer robot; when receiving the checked question-answer data and the operating information corresponding to the checked question-answer data, in accordance with the checked question-answer data, the intelligent question-answer robot executes the corresponding operation on logic question-answer data stored in a second knowledge base system according to the operating information. According to the method, device, medium and equipment provided by the invention, the corpora of the intelligent question-answer robot are enriched, the accuracy of the deep learning algorithm is enhanced, and the timeliness of data update is ensured.