100 results about "Business knowledge" patented technology

The present invention is directed to a system for managing business knowledge expressed as statements, preferably sentences using a vocabulary, where such statements may be automated by the generation of programming language source code or computer program instructions. As such, the present invention also manages software design specifications that define, describe, or constrain the programming code it generates or programs with which it or the code it generates is to integrate. The present invention facilitates the creation of composite sentences. In one embodiment, the present invention also interprets a composite sentence as a logical formula in first order predicate calculus or similar logic formalism supporting conjunction, disjunction, and negation as well as existentially and universally quantified variables. The invention further interprets natural language, including singular common count noun phrases and connectives, as variables in formal logic. Further, the invention then implements the logical interpretations as rules.

Meta-Rules are a special set of business rules whose purpose is to enable business rules selection and subsequent rule invocation by a business rules manager. Contained within a Meta-Rule are business policy and other information that enables the selection of a business rule used by a business application. Meta-rules allow the system to dynamically select and identify specific business rules to be executed within a given business application. By enabling a higher level of abstraction, and relying on rules to resolve specific business rule selection and invocations, Meta-rules further separate the binding of business knowledge and practice from application programming logic. The application programmer is freed from having specific knowledge of the business rule; all that is required is an assertion that a rule is to be used.

A system for a website building system includes a component database storing website building system component types of websites of users, the component types being visually editable; a data gatherer to gather related information based on answers to at least one questionnaire and available business identifying information from sources external and internal to the website building system, a content element generator to generate content elements based on the related information, a matcher to match the content elements to pre-defined layout related elements, business family related site structure, business industry related media and a design kit, a layout solution handler to generate multiple layouts based on the above mentioned layout types, a site generation system to generate a generated website from a user selected layout solution and where the visual editor enables the user to edit the generated site.

The invention belongs to the field of dispatching automation systems and especially relates to a construction and application method of knowledge map of a dispatching automation system. The method comprises following steps: 1. the construction of knowledge map: the bottom-up and top-down combination method is used to construct the knowledge map of the basic platform and detailed business logic ofan intelligent grid dispatch control system; 2. the storage and maintenance of knowledge; 3. the display and application of the knowledge map: a front page shows the basic platform of the system and the detailed business knowledge map; the knowledge map of the basic platform shows the overall framework knowledge, and the knowledge map of the business logic shows the detailed logical relationship.The knowledge map constructed by the invention presents the abstract dispatching automation system business knowledge in a graphical manner, so that the user has an intuitive understanding of the business knowledge of the entire system. At the same time, users can operate the corresponding entities to selectively view the business knowledge they care about, with strong interactivity and availability.

Systems and methods are described that mine and track archived business documents for discovering business knowledge and intelligence using data mining, machine learning, statistics, and computational linguistics, from different linguistic sources according to their meaning.

The present disclosure includes a system and method for learning (or discovering and extracting) business knowledge from a collection of source code. The collection of source code is abstracted to generate an abstracted data stream, which is then transformed to an Extensible Markup Language (XML) format. The transformed data in XML format can be further converted to target formats or processed to satisfy different needs such as software system documentation, migration, impact analysis and security analysis. The disclosure also includes an implementation and operation for a pattern abstraction engine configured to receive an input data stream and format it for abstraction into a standard format using a pattern matching mechanism. The disclosure also includes an implementation and operation for a contextual pattern decoder engine configured to extract knowledge attributes and contextual taxonomy from classified blocks of an input data stream.

The present invention is directed to a system for managing business knowledge expressed as statements, preferably sentences using a vocabulary, where such statements may be automated by the generation of programming language source code or computer program instructions. As such, the present invention also manages software design specifications that define, describe, or constrain the programming code it generates or programs with which it or the code it generates is to integrate. All information managed within the present invention is maintained within a relational database that is encapsulated within an object-oriented model. Each object in this model is subject to version control and administration using permissions. Each user of the system is an object and belongs to one or more groups. Users and groups may be granted privileges. Objects may be created, examined, used, modified, deleted, or otherwise operated upon only if corresponding permission or privilege has been granted. The vocabulary managed by the present invention consists of the function words commonly used in a language, such as the auxiliary verbs, prepositions, articles, conjunctions, and other essentially closed parts of speech in English, as well as open parts of speech, such as nouns, verbs, adjectives, and adverbs.

The present invention discloses a voice robot. The voice robot comprises an acquiring module, an analyzing module, a retrieving module and an output module. The acquiring module is configured to acquire voice of business consultation of a user; the analyzing module is configured 6to analyze the acquired voice of the business consultation so as to obtain a keyword in the voice of the business consultation. The retrieving module is configured to retrieve the business information matched with the keyword in a preset business knowledge database, and retrieve the business information matched with the keyword in a preset network database when no matched business information is found in the business knowledge database. The output module is configured to output the retrieved business information to the user in a broadcasting and / or displaying manner. The voice robot provided by the present invention solves the problem that the cost of providing business information for users is high and the provided business information is not comprehensive in the prior art.

The invention provides a method and system for determining faults of a heterogeneous system based on machine learning, and the method comprises the steps: carrying out the analysis of the safety of historical system faults and major events, preliminarily building case library data and a fault tree model, arranging and analyzing index data and labeling data, and respectively training data models ofdifferent application scenes; according to the collected current index data and the data model, calculating and analyzing the operation health condition of the system, and triggering fault diagnosisand alarm for the grabbed abnormal index data; and automatically diagnosing a fault reason according to a relation graph established by machine learning and the collected abnormal stack annotation data, determining a fault repair scheme according to the fault reason, and triggering fault repair. According to the method and the system, the dependence of operation and maintenance personnel on professional business knowledge is reduced, intelligent and rapid fault discovery and fault generation reason diagnosis are realized through machine learning, self-repair is automatically completed, and theoperation safety and stability of the distributed heterogeneous system are greatly improved.

The invention discloses an intelligent questioning and answering system based on a client feature library. The system comprises a WEB page, an APP (application), a WeChat program, an online questioning and answering interface, an intelligent questioning and answering engine, a business knowledge base and the client feature library, wherein the WEB page, the APP and the WeChat program are connectedwith the online questioning and answering interface, the online questioning and answering interface is connected with the intelligent questioning and answering engine, and the intelligent questioningand answering engine is connected with the business knowledge base and the client feature library. The system is an effective means for deepening understanding of clients, increasing the client differentiated service level and improving user experience, the multi-level multi-view three-dimensional client feature library is constructed, and comprehensive depiction of client features is realized. Therefore, through the questioning and answering system, the fineness and differentiation degree of client services can be increased quickly based on basic information, personal preferences, sensitivecontent, real-time emotions and other fine features of the clients, and the pertinence and effectiveness of answer content are improved.

The invention relates to a method and system for discovering and documenting the business knowledge contained in the functions of each program of existing software applications as expressed in the source code of each program using a novel method of dynamic business rule extraction that overcomes the inherent limitations of previous methods. The novelty of the method results from the deterministic relationship between program functions and the program code executed to perform each function as revealed by empirical analysis of the actual code execution, hence “dynamic” business rule extraction. This compares to previous methods which utilized a manual process, a fully automated process, and / or a process of analysis against the non-executing source code of each programs in which the analyst must infer the execution path, hence “static” business rule extraction. Furthermore, dynamic business rule extraction can deliver results without errors or omissions and document forensically that it has done so.

The invention discloses a department business knowledge training management system, and the system comprises a data integration service module, a business knowledge storage module, a training course building module, a training course learning module, a training course check module, and a training demand adjustment module. The invention also discloses a department business knowledge training management method based on the system. The method comprises the steps: enabling each department of an enterprise to upload its own professional knowledge points through its data integrated interface, building a department professional business knowledge base with the characteristics of the departments, thereby achieving a purpose of distributing training and learning and business knowledge check tasks for business learns of each line according to the demands of employees.

The invention discloses a public opinion association analysis method based on a knowledge graph, and the method comprises the steps: extracting the attributes and relationships of entities in Internetpublic opinion knowledge, and constructing a public opinion business knowledge base based on the knowledge graph; determining a plurality of same or different types of entities needing association analysis, and combining the plurality of same or different types of entities in an intersection, combination or subtraction manner; and determining the result composition of association analysis of eachcombination mode of a plurality of same or different types of entities to obtain an analysis result. The invention further provides a public opinion association analysis system based on the knowledgegraph. According to the invention, association analysis of knowledge of the same type or different types including specific characters, specific organizations, specific events, specific topics and the like can be realized; and multi-dimensional deep analysis and association mining of the associated entities are realized, and the service users are helped to accurately grasp association conditionsof various different groups and intelligent analysis results of the associated entities so as to assist in decision making.

The invention discloses an abnormal event classification method and system based on text processing, and the method comprises the steps: carrying out the classification of a text through naive Bayes, and proving that the text is highly correlated with a label; performing abnormal event label classification by utilizing a BERT model; judging according to the combination of a BERT model and a service logic model, adjusting the output weight of the BERT according to an artificial rule, learning joint probability distribution from input to output by taking the independence among naive Bayesian model feature words as a premise hypothesis, and solving an output enabling the posterior probability to be maximum under an input condition according to the probability distribution; and in combination with naive Bayes, a BERT model and a service logic model, automatic classification and labeling of abnormal event data are realized, so that an abnormal event analysis service of the security industry is assisted. The BERT model is used for abnormal event classification and is combined with the naive Bayesian model, related business knowledge is fused for different types of label classification tasks, and different model adjustments are carried out.

A system and method that utilizes knowledge representation system to express relationships among consumers, between consumers and businesses, within a specific business, and across businesses. The system and method supports defining which businesses consumers patronize, which locations they prefer, and what products and services they intend to secure from what businesses. The system can supports defining how businesses are structured, what businesses are similar, and how businesses relate both to consumers and to other businesses. By combining this consumer knowledge and business knowledge the system enables a number of mutually compatible applications across a matrix of consumer and business interactions (consumer-to-consumer, consumer-to-business, and business-to-business.)

A business specification is extracted so as to be represented by performing an analysis in a data item level by employing information which can be readily defined by a person who inputs business knowledge. While business functions and interfaces such as a series of screens corresponding to the business functions are employed as inputs, such a data item is extracted which is updated by employing an interface analysis and a program analysis. If a data item required for producing data which is updated in one business function is not inputted within this business function, the data item is defined as a preconditional condition item so as to be specified. If it is required that a business function for updating the preconditional condition item prior to the business function has been processed, a dependent relationship established between two pieces of the above-explained business is extracted so as to be represented.

The invention discloses an equipment, business and data association display method and device based on a knowledge graph, and the method comprises the steps: displaying a business and data entity object related to the equipment when the equipment is displayed through the equipment knowledge graph; when the business is displayed through a business knowledge graph, also displaying equipment and a data entity object related to the business; wherein the equipment in the equipment knowledge graph is associated with a data entity object, related to the equipment, in a data knowledge graph and a service, related to the equipment, in the service knowledge graph in advance; wherein the business in the business knowledge graph is associated with a data entity object related to the business in the data knowledge graph in advance. By applying the method and the device, the user can visually check the business process and the associated data related to the specified equipment or directly check theequipment and the data related to the business at present, so that the user can quickly understand the business, and the purpose of efficiently utilizing the data is achieved.

The invention discloses an intelligent question-answering system based on business knowledge graph retrieval. According to the system, first, business correlation judgment is performed on consulting input of a client, and a business guidance module is called when it is discovered that user input is uncorrelated with business; when the user input is correlated with the business, business content and activity content in the user input are acquired through a business recognition module and an activity recognition module respectively, and then graph information retrieval in a knowledge semantic network is performed with reference to a knowledge base; and knowledge content obtained by a graph retrieval engine is output as business knowledge after being subjected to organization and representation, and a part of path loss is fed back to the business guidance module through a loss prompting module to be supplied to a user for reference. Through the system, general content storage demands for an intelligent business system can be reduced, and system speed is increased; compared with general keyword retrieval, by used of the graph retrieval method, the input content of the client can be subjected to intention recognition to the maximum extent, and a maximum amount of most relevant business knowledge can be fed back to the client.

The invention provides a credit risk control model generation method. The method comprises the steps of obtaining one or more combined features corresponding to original attribute data of a credit business object; determining segmentation points and segmentation intervals according to the feature conditions of the combined features; determining a new feature condition according to the segmentationpoint and the segmentation interval; and performing training according to the combined features and new feature conditions corresponding to the combined features to obtain a credit risk control model. According to the credit risk control model for generating the second-order feature combination score card based on the gradient boosting tree, business personnel can clearly master details in the decision process of the model and can introduce business knowledge to check and finely adjust each detail, so that the requirement of credit risk control business for model interpretability is met.

The invention relates to the technical field of knowledge maps, in particular to a multi-source heterogeneous data processing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring service data from a trusted source system; wherein the trusted source system comprises a service system used by a terminal of each service domain; constructing a knowledge graph according to the business data; wherein the knowledge graph can indicate a relationship between business data of different business domains and business domain indexes; according to the knowledge graph, obtaining resource entities of a to-be-fused service domain and a relationship between the resource entities so as to construct a service domain knowledge graph library; and executing cross-business domain and cross-resource entity business domain information synchronization, fusion and sharing operations based on the business domain knowledge graph database. According to the method, information of different internal and external organizations and cross-business fields can be efficiently extracted, and business knowledge can be rapidly and iteratively integrated.

The invention relates to a method for generating a nursing record sheet. The method comprises the steps of selecting a nursing record sheet template as required, and creating a nursing record sheet; performing automatic filling of input items, receiving user input to the input items, and presenting the input in the input items; inputting a strongly-related entry item at the first level; and when auser saves the nursing record sheet, generating an evaluation value based on the input items in the nursing record sheet. According to the method, through the structured nursing item template, the entry of the nursing record sheet is simplified, so that it is ensured that doctors timely know patients' conditions while nurses' manual entry workload is reduced, attention is paid to the patients' conditions at the first time, and related treatment is given. In addition, the structured nursing item content can be dynamically added with the development of the medical technology, to form the achieve of a knowledge base, and nurses can be helped to learn nursing points and treatment measures of nursing items, which helps the nurses to learn business knowledge and improve their work ability.

The invention discloses a rich text storage and display method for a dialogue system, taking into account both the comprehensiveness of the content and the aesthetics of the form, By presenting the business knowledge needed by users in various forms of knowledge presentation, it effectively avoids the drawbacks brought about by a single voice broadcast, provides customers with multi-dimensional business content to the maximum extent, improves the experience effect of human-computer interaction, and has a strong practical value and commercial value.

The invention provides a method and a system for assessing the business knowledge of hydrological employees. The method includes the following steps: on an examination paper management page, acquiring an examination paper selection instruction in an examination paper category list; randomly generating an examination paper from a knowledge base according to the examination paper selection instruction and preset rules to get a random examination paper, and displaying the random examination paper on an examination interface, wherein the knowledge base includes knowledge bases for a plurality of professional fields, and the random examination paper includes various question types; and getting the answers of examinees to the questions on the random examination paper within a predetermined period of time according to the random examination paper, automatically generating scores, and displaying the answers and the scores on the examination interface, thus completing evaluation. According to the method for assessing the business knowledge of hydrological employees, questions are set intelligently and randomly according to preset rules, and online automatic assessment is carried out, which not only saves labor cost, but also improves the fairness of assessment.

The embodiment of the invention provides an insurance knowledge graph generation method, a device, equipment and a storage medium. The method comprises the steps of collecting multiple pieces of insurance information; determining a plurality of combination relationships among the plurality of sub-insurance categories according to the plurality of sub-insurance categories and the sub-insurance attribute corresponding to each sub-insurance category; taking the insurance category as a node entity, and taking the plurality of sub-insurance categories as sub-nodes of the node entity; generating aninsurance knowledge graph according to the node entity and each child node; and displaying the thumbnail, so that a user clicks the thumbnail according to the sub-insurance type description information to query insurance premium information of the sub-insurance type corresponding to the sub-node and the various combination relationships between the sub-insurance type and other sub-insurance typesassociated with the sub-insurance type. According to the method provided by the embodiment of the invention, the insurance business knowledge can be intuitively and effectively queried.

The invention discloses a business knowledge association relationship determination method and device. The method comprises the following steps: querying a plurality of pieces of knowledge related toa business request of a customer from a knowledge base according to the business request of the customer; determining the weight of each piece of knowledge according to the correlation between each piece of knowledge and the customer service request; screening out a plurality of pieces of knowledge of which the weights are greater than a threshold value, establishing a frequent pattern tree FP-tree according to the screened-out plurality of pieces of knowledge and the corresponding weights, and determining a frequent item set of each element contained in the screened-out plurality of pieces ofknowledge; and according to the frequent item set of each element contained in the plurality of screened knowledge, determining the association relationship of the plurality of screened knowledge. The knowledge with relatively high correlation with the customer service request can be obtained based on weight calculation, the association relationship among the plurality of knowledge is mined basedon the FP tree, and the accuracy of the knowledge association relationship is improved.

The invention discloses a department business knowledge training management system, comprising a business knowledge input module, a business knowledge database, a training course assessment module, amanagement server and a display terminal. The business knowledge input module and the business knowledge database are connected. The management server is connected with the business knowledge database, the training course assessment module and the display terminal. The business knowledge database and the training course assessment module are connected. According to the department business knowledge training management system provided by the invention, through setting of the business knowledge input module and the training course assessment module and through combination of the management server, business knowledge of staff is assessed and the business knowledge grasp condition of each staff is grasped, so a manager can carry out targeted training, the grasp degree of the staff for the business knowledge is improved, and the practical business capability is improved.