42 results about "Knowledge object" patented technology

The invention features a business method that takes advantage of the ability to convert unorganized information in the form of paper documents, document images, and electronic documents arid converts the information to an organized electronic form referred to as Knowledge Objects. The invention further encompasses forming electronic Business Objects, such as documents and data sets, useful for business decision making and information exchange. The methods of the invention may utilize computerized storage and computerized decision-making systems to enable making more rapid critical business decisions.

The Visual OOKS technology of the present invention comprising an Access Interface, which presents the user's needs and environment in terms of specified goals, outcomes and other related information, a plurality of user interfaces in which learning structures are embedded as navigational and organizational elements, and which are selected and presented to the user on the basis of the users specification of outcome or task goals, and further comprising of a retrieval engine and a tagged database such that the retrieval engine is able to select the appropriate knowledge object from the tagged database, logically organize them, and present to the user in terms of learning structure which has been prior presented to the user. The Visual OOKS platform may have an additional layer for appropriate visual presentation of the document. The Visual OOKS platform uses a unique Universal Classification Knowledge Framework (UCKF).

A method and system for generating knowledge objects from captured process data and identification of user interface information includes knowledge object logic, knowledge object content, knowledge object presentation and knowledge object deployment. After capture of process data, analysis of the process is performed. The context of the process is defined, the best practices are identified, and process documentation and training on the process is performed through an interface. Once these elements are prepared as templates, they are deployed to a user to permit even an untrained user to perform the process as if the user were an expert.

A multidimensional dynamic local knowledge map is composed of a resource layer, a meta-knowledge layer, a logic analysis layer and a presentation layer, the resource layer provides resource and data support for the meta-knowledge layer, the meta-knowledge layer uniformly describes the resources and data and provides required knowledge for the logic analysis layer, the logic analysis layer obtains the knowledge required by the user from the meta-knowledge layer and sets up an incidence relation of knowledge points, and the presentation layer converts the knowledge points and the incidence relation into graphic elements and presents the graphic elements for the user. A constructing method of the multidimensional dynamic local knowledge map comprises the six steps of 1, collecting and clearing up various kinds of information, 2, constructing a body for the collected knowledge, 3, packaging the knowledge, 4, utilizing meta data for describing a knowledge object, 5, setting up the incidence relation of the knowledge units to form a knowledge relevance link, and 6, utilizing a visualization technology for conducting multidimensional presentation on the knowledge nodes and the relevance of the knowledge map.

A novel system for automated metadata generation of learning and knowledge Objects are presented. Such system automates the processes of adding descriptive and contextual information to digital learning content, digital documents, and other objects used in learning and knowledge management. It also automates the process of creating associations among higher level objects and classifications systems used to organize content, and it does so in a way that improves the functionality of existing technologies, that can be tuned to meet the needs of a particular organization or community of practice, and that can be extended and refined to take advantage of new information retrieval technologies. It includes methods that handle aggregate digital objects composed of a plurality of other objects and that improves efficiency by caching data and recognizing the relationships among aggregate objects and their components.

A method is provided for processing information which includes storing in a memory of an information processing system (i) a plurality of individually identified information-bearing entities ("IBEs"), and (ii) a dictionary including a plurality of simple elements, each simple element having a meaning. A plurality of dynamic structures are stored in the memory, each dynamic structure being stored in association with at least one stored IBE, wherein each dynamic structure includes (i) at least one knowledge object including a plurality of simple elements selected from the stored dictionary, (ii) first information identifying the selected simple elements in the at least one knowledge object and (ii) second information identifying links between the selected simple elements. At least ones of the stored IBEs are processed with a processor of an information processing system, using the first and second information contained in the stored dynamic structures associated with the ones of the IBEs.

A system and method permitting users to author, publish, and render a dynamic interactive web page. The dynamic interactive web page is generated by a knowledge object which is a block of information composed of a plurality of action-condition rules. Knowledge objects may be used to build, but are not limited to building, question and answer facts, multiple choice trivia's, multiple choice quizzes, multiple choice test, polls, surveys, consultations, conversations, or complex problem resolution systems through series of information exchanges between a user and a knowledge object. Knowledge objects may provide needed knowledge in, but are not limited to, the following categories: Education, physics, history, geography, sciences, mathematics, mechanics, electronics, business, finances, entertainment, health, hobby, games, parenting, relationships, religion, real estate, shopping, sports, styles, toys, travel, trivia, etc. . . .

The AKOS (Artificial Knowledge Object System) of the invention is a software processing engine that relates incoming information to pre-existing stored knowledge in the form of a world model and, through a process analogous to human learning and comprehension, updates or extends the knowledge contained in the model, based on the content of the new information. Incoming information can come from sensors, computer to computer communication, or natural human language in the form of text messages. The software creates as an output. Intelligent action is defined as an output to the real-world accompanied by an alteration to the internal world model which accurately reflects an expected, specified outcome from the action. These actions may be control signals across any standard electronic computer interface or may be direct communications to a human in natural language.

A method for determining the value of service knowledge is provided. In one embodiment, the method includes providing a database of service knowledge, including one or more service knowledge objects, corresponding to a system. The method may also include associating the service knowledge with a plurality of taxonomic service categories associated with respective service events. Further, the method may include establishing a value of the one or more service knowledge objects. Such value may be established through a comparison of a first and second expected maintenance costs for the system determined from the service knowledge without and with, respectively, the one or more service knowledge objects. Additionally, the method may include storing or outputting the established value. Various other methods, systems, and devices are also disclosed.

The present invention relates to a method for transmitting transactional commands and data between computer networks, and in particular a method for securely transmitting transactional commands and data between two computer networks by encoding the transaction based upon the ontology and semantics of the transaction commands. The invention establishes the process in which transactional commands are decomposed into context less text, based upon a local representation of the transaction command ontology and semantics. The invention also establishes the process for authenticating the transaction using deep knowledge of the user and business rules for the transaction. The decomposition of the transaction command and data is achieved using command semantic knowledge objects, data semantic knowledge objects and a decision cube populated as a result of an examination of the transaction command set ontology and semantics. The resultant transmission consists of a set of indexes or tags and context less data fields.

The AKOS (Artificial Knowledge Object System) of the invention is a software processing engine that relates incoming information to pre-existing stored knowledge in the form of a world model and, through a process analogous to human learning and comprehension, updates or extends the knowledge contained in the model, based on the content of the new information. Incoming information can come from sensors, computer to computer communication, or natural human language in the form of text messages. The software creates as an output. Intelligent action is defined as an output to the real-world accompanied by an alteration to the internal world model which accurately reflects an expected, specified outcome from the action. These actions may be control signals across any standard electronic computer interface or may be direct communications to a human in natural language.

The invention discloses a method and a system for associated search of poetry. The method is based on a poetry resource library module (7), and comprises the following steps of: receiving an input keyboard to be searched; searching the input keyword in the poetry resource library module (7), and obtaining the number of poetry terms and the serial number of each poetry corresponding to the poetry attribute names matched with the input keyword; calling the attribute name and related content of each poetry, and displaying the attribute name and the related content on a result list; setting a poetry object among the various poetries as a central knowledge object, obtaining the complete information of the central knowledge object as a divergent knowledge object, taking the central knowledge object as a head word, building a dynamic relation network diagram for the surrounding words by the divergent knowledge object, and displaying the poetry related contents corresponding to each object in the dynamic relation network diagram. With the method and the system, users can learn the poetry content and the related divergent knowledge content, the associated learning and the divergent learning of poetry are realized, and the learning effect can be improved.

The AKOS (Artificial Knowledge Object System) of the invention is a software processing engine that relates incoming information to pre-existing stored knowledge in the form of a world model and, through a process analogous to human learning and comprehension, updates or extends the knowledge contained in the model, based on the content of the new information. Incoming information can come from sensors, computer to computer communication, or natural human language in the form of text messages. The software creates as an output. Intelligent action is defined as an output to the real-world accompanied by an alteration to the internal world model which accurately reflects an expected, specified outcome from the action. These actions may be control signals across any standard electronic computer interface or may be direct communications to a human in natural language.

The invention discloses an academic knowledge acquisition method and an academic knowledge acquisition system based on knowledge network nodes. The method includes the following steps: academic knowledge carriers are acquired and indexed, and knowledge object data in academic knowledge are extracted; the knowledge object data are stored and indexed; according to the types of the indexed knowledge object data, a knowledge network node relation model is created; according to the data in a physical storage, knowledge network nodes are created; the correlated knowledge network nodes are connected. The system comprises an acquisitor, an indexing device, a data storage and indexing device and a connection establishment module. The method and system provided by the invention can traverse the entire knowledge network from any node through the correlation characteristic between the nodes, consequently, the problem that a retrieval system can produce information islands in terms of knowledge acquisition is solved, and an academic knowledge acquisition method and an academic knowledge acquisition system which can provide comprehensive information, are interconnected and are traversable are provided for readers.

A system and method for generating a custom learning object. The system and method generate the custom learning object based on a knowledge object and a set of user characteristics for a user. In one embodiment, the knowledge object is converted to a set of knowledge atoms. Each knowledge atom is then mapped to a container defining an output format. One or more containers are combined to define the custom learning object.

The invention relates to the technical field of knowledge graph construction, and discloses a multivariate intelligence fused adaptive learning knowledge graph construction method and system. The method comprises the steps: S1, extracting domain knowledge element entities; s2, setting attributes of elements of the domain knowledge model, and integrating attributes for describing the learning ability of a learner in a multivariate intelligent theory into attributes of knowledge points in the domain knowledge model; s3, constructing a relationship between elements of the domain knowledge model;and S4, dynamically updating the netty knowledge graph. In the prior art, knowledge node attribute extraction in domain knowledge only pays attention to knowledge point subject attributes; according to the method, the technical problem that when knowledge point achievement degree calculation is carried out based on knowledge point features and learner features, an accurate basis is lacked due to the fact that the internal relation between the learner features and attributes of knowledge objects learned by the learner features is ignored, and therefore the accuracy of self-adaptive learning path recommendation is reduced is solved.

The invention discloses a knowledge graph visualization method based on a semantic attention model, and provides a knowledge visualization solution by combining multi-level multi-angle knowledge semantic similarity distance measurement with a user semantic attention model so as to support a visualization method of a global+local structure. According to the method, a semantic attention model between knowledge objects in a knowledge space is established, and the semantic attention between a focus object and the knowledge objects in the knowledge space is calculated; and visually displaying the knowledge graph according to the semantic attention. According to the invention, complex battlefield situation big data is analyzed and processed; the information objects with relatively short semanticdistances are highlighted and actively presented to the user; the big data knowledge graph retrieval method and system are beneficial to intelligently assisting a user in retrieving complex big dataknowledge, so that the user can see local details of an interested object and keep the overall impression of surrounding information, and good visual support is provided for big data knowledge graph retrieval application.

The AKOS (Artificial Knowledge Object System) of the invention is a software processing engine that relates incoming information to pre-existing stored knowledge in the form of a world model and, through a process analogous to human learning and comprehension, updates or extends the knowledge contained in the model, based on the content of the new information. Incoming information can come from sensors, computer to computer communication, or natural human language in the form of text messages. The software creates as an output. Intelligent action is defined as an output to the real-world accompanied by an alteration to the internal world model which accurately reflects an expected, specified outcome from the action. These actions may be control signals across any standard electronic computer interface or may be direct communications to a human in natural language.

A multidimensional dynamic local knowledge map is composed of a resource layer, a meta-knowledge layer, a logic analysis layer and a presentation layer, the resource layer provides resource and data support for the meta-knowledge layer, the meta-knowledge layer uniformly describes the resources and data and provides required knowledge for the logic analysis layer, the logic analysis layer obtains the knowledge required by the user from the meta-knowledge layer and sets up an incidence relation of knowledge points, and the presentation layer converts the knowledge points and the incidence relation into graphic elements and presents the graphic elements for the user. A constructing method of the multidimensional dynamic local knowledge map comprises the six steps of 1, collecting and clearing up various kinds of information, 2, constructing a body for the collected knowledge, 3, packaging the knowledge, 4, utilizing meta data for describing a knowledge object, 5, setting up the incidence relation of the knowledge units to form a knowledge relevance link, and 6, utilizing a visualization technology for conducting multidimensional presentation on the knowledge nodes and the relevance of the knowledge map.

The inventive subject matter provides apparatus, systems and methods in which a point management system packages worker thought-processes and supporting reference materials with the point or conclusion being made, enabling rapid review and verification by a decision-maker. The point management system includes a literal object database, snip object database and point object database, wherein each snip object is derived from a literal object and linked to the location from which it was derived. The system further includes a point authoring module that enables users to link snip objects within the point object, and a snip verification engine that enables a reviewer of the point object to verify the supporting snip objects and literal objects, their relationships to each other and to the points being made in the point object, and the team collaboration that has transpired at both the snip object level and point object level.

The invention provides an associated search method and system of chemical knowledge. The method takes a chemical resource bundle file (8) as the base and comprises the following steps: receiving the keywords to be searched which are input by a user; searching the keywords and obtaining an index address of a chemical substance matched with the keywords; obtaining the chemical substance content according to the index address of the chemical substance and displaying the chemical substance content such as the name of the chemical substance on a result list; taking the chemical substance on the result list as a center knowledge object; obtaining reactants associated with the chemical substance, resultants associated with the chemical substance or other reactants capable of reacting with the chemical substance, and then taking the reactants, the resultants or the other reactants as divergent knowledge objects; constructing a dynamic relation network chart composed of the center knowledge object and the divergent knowledge objects and displaying the knowledge content relative to the objects in the dynamic relation network chart. According to the associated search method and system of the chemical knowledge, the semantic associated search is supported, and the chemical substances and associated knowledge points which the user wants to learn can also be searched so that the study efficiency can be obviously improved.

The invention discloses a building method of an alarm reasoning knowledge base of an intelligent transformer substation. The method comprises the following steps that (1), a protection logic diagram is built according to a matching relation between action signals generated by a protection device and a breaker respectively, the important grade of actions of the protection device, the relation between main protected devices related to the effective protection actions generated by the protection device, and the time sequence relation and time interval relation between the action signals; (2), an intelligent alarm knowledge object is built in an integrated alarm monitoring system, and the protection logic diagram obtained in the step (1) is converted to be the intelligent alarm reasoning knowledge base by adding a reasoning condition object and a reasoning rule object into the intelligent alarm knowledge object. By combining the time sequence relation and the time interval relation generated by the fault phenomenon, different fault reasons finally generating multiple same fault phenomena are distinguished, and the reliability of the fault reasons obtained by reasoning analysis is improved greatly.

The invention provides a method and a system for digital object classification. The method comprises the following steps of: obtaining a clustering method of digital objects; generating coarse classification methods of clustered sets, including a method for estimating classification parameters, so as to form a primary classifier; using the clustering result to regulate the parameter of the primary classifier, and determining a final classifier by being combined with a logical reasoning method. In one embodiment, the parameters are determined according to the primary classification result by adopting a likelihood estimation method, and the parameters are modified by adopting a posteriori estimation method of probabilistic reasoning so as to determine the final classifier, so that the influence of interference information is avoided effectively, and the defect of ambiguity caused by uncertain semantic information in the digital knowledge objects is remedied. By utilizing the classification method and the classification system provided in the invention, the accuracy and the expandability of classification of the digital knowledge objects can be improved.

A novel system for automated metadata generation of learning and knowledge Objects are presented. Such system automates the processes of adding descriptive and contextual information to digital learning content, digital documents, and other objects used in learning and knowledge management. It also automates the process of creating associations among higher level objects and classifications systems used to organize content, and it does so in a way that improves the functionality of existing technologies, that can be tuned to meet the needs of a particular organization or community of practice, and that can be extended and refined to take advantage of new information retrieval technologies. It includes methods that handle aggregate digital objects composed of a plurality of other objects and that improves efficiency by caching data and recognizing the relationships among aggregate objects and their components.

The invention discloses an information retrieval method and apparatus, belongs to the field of the internet, and aims to improve the accuracy of a retrieved result of a problem to be solved by a user. The method comprises the steps of receiving an input to-be-solved problem; determining the technical field which the to-be-solved problem belongs to; according to a pre-established knowledge base in the technical field, determining a target document matched with the to-be-solved problem in the technical field, wherein the knowledge base comprises problem objects, knowledge objects, document objects, corresponding relationships between the problem objects and the knowledge objects, and corresponding relationships between the knowledge objects and the document objects, and the knowledge objects are selected from one part of the problem objects; and returning the target document. The method and the apparatus are used for answering the to-be-solved problem.

The invention provides a knowledge graph guided multi-scene image generation method, and belongs to the field of image generation. According to the method, the knowledge graph is used for assisting in completing an image generation task for the first time, firstly, the knowledge graph containing object layout relations is constructed, then, a set of object labels are input into the graph, and a plurality of layout relation graphs conforming to facts is obtained through a layout search module; Knowledge information in the graph is extracted from the layout relation graph through a pre-trained knowledge module, and finally a generator and a discriminator are trained in combination with a knowledge object matrix and a global knowledge vector obtained in the knowledge module when the layout relation graph passes through an image generation module, so as to generate a scene image corresponding to each relation graph. According to the invention, the knowledge graph is utilized to realize a one-to-many task of generating a plurality of images by using a group of labels, and the image generation quality is improved by embedding knowledge representation information. The present invention is evaluated using a real image data set, and the improvement on the most advanced baseline is observed.

The invention belongs to the technical field of intelligent control, and particularly provides a campus intelligent electricity utilization equipment control method based on an energy consumption strategy. The strategy knowledge influencing equipment control is expressed by using an object-oriented expression method, three control strategies of a timing strategy, an environmental strategy and a scene mode strategy for equipment are put forward on the basis of strategy knowledge object expression, all types of strategy knowledge used for controlling the equipment is standardized through a user input interface and expressed as system identification strategy knowledge objects so that the equipment control strategy knowledge in the system can be timely and flexibly updated. The attribute values of the electricity utilization equipment can be timely adjusted according to the change of the external environment and the objective of energy conservation can be achieved, and batch control of campus equipment is facilitated for users so that the working efficiency of work personnel can be effectively enhanced.

The invention discloses an aircraft assembly process design rule knowledge management method and system, and relates to the technical field of digital assembly, and the method comprises the steps: firstly, obtaining assembly process design rule knowledge related to aircraft assembly instruction verification; secondly, performing generative framework representation and reasonable classification andattribute definition according to the characteristics of knowledge; and finally, designing a knowledge storage form, and associating the assembly process design rule knowledge object with the classification structure for knowledge classification and storage, thereby forming an assembly process design rule base. The system comprises a data layer, a logic layer and an application layer. And the data layer provides data related to the assembly process design rule to the logic layer. And the logic layer processes the rule data source and provides the processed rule data source for the applicationlayer in different data views. And the application layer formulates different application modes oriented to different roles for the data formed by the logic layer, so that the technicians are assisted in checking the assembly instruction.