113 results about "Knowledge resource" patented technology

An interactive learning platform comprises a teacher terminal, a student terminal and a server. The teacher terminal and the student terminal are in communication connection with the server. The server is used for storing teaching resources uploaded by teachers, information of schools, information of teachers and information of students. The teacher terminal and the student terminal are in communication connection with the server so as to achieve interaction of teaching information. The teacher terminal uploads sorted knowledge resources to the server and directly carries out one-to-one or one-to-many interactive teaching communication, electric board writing, document labeling and the like with students through a video mode. The student terminal can obtain learning resources, or carry out one-to-one communication with a teacher or watch the process of answering questions by the teacher through communication connection with the server, and the students do not need to spend time going to a training mechanism or get a private teacher for learning. Meanwhile, the mastering situation of the students on each knowledge point can be known by the platform through data analysis, targeted learning is achieved, time of the students is saved, and the learning efficiency of the students is improved.

The invention discloses a theme map expansion based knowledge resource organizing method, which is characterized by including: organizing resources to build resource indexes, and providing a search architecture based on themes on the basis of a map architecture formed by knowledge resources and theme incidence relations therein. In the search architecture, themes of documents are organized to be index entry, document collection is divided by combining internal relations of succession, correlation, polysemy of the document themes and multi-label classifying technology, proper partition is selected by a partition selecting method based on threshold value so as to guide building and inquiring of the indexes. During inquiring, inquiry results are acquired from a route to the relevant index partition and are gathered and organized according to the theme relations, and resource utilization rate and inquiring efficiency are improved sufficiently on the premise of guaranteeing quality of the inquiry quality. Further, by the index partition gathering and breaking technology, the index structure is further optimized and quality of the inquiry results and inquiring efficiency are improved.

Information in a database collection of knowledge resources is evaluated by collecting a plurality of documents having non-unique values on a shared attribute into an information aggregate; assigning to each document an usefulness value; and calculating and visualizing the knowledge capital of the aggregate as a sum of the usefulness values for all documents in the aggregate.

The present invention relates generally to an online tool for providing knowledge and access to knowledge resources to users. Further, the present invention relates to an online tool for: 1) linking members of communities with mentors and subject matter experts that can help the member derive value from their online experience; 2) assessing and delivering online knowledge at a participant level; 3) pushing knowledge resources to participants based on the participant profile; 4) creating and updating an online personal growth plan; and 5) tracking value by participant or by community, as required by community leadership.

Information in a database collection of knowledge resources is evaluated by collecting a plurality of documents having non-unique values on a shared attribute into an information aggregate; assigning to each document an usefulness value; and calculating and visualizing the acceleration of the aggregate as a ratio of a sum of the usefulness values for documents recently included in the information aggregate to a sum of the usefulness values for all documents in the aggregate.

The invention discloses an automatic news splitting method for volume broadcast television supervision. The automatic news splitting method for volume broadcast television supervision comprises the steps that broadcast television data are initialized to automatically obtain a news program voice frequency waveform and a video image, audio and video features of the news data are extracted and comprise host detection, subtitling detection and traction and voice detection, a vision candidate point and a voice candidate point of a news item boundary are obtained through a heuristic rule, the news item boundary is calculated in a positioning mode according to audio and video fusion, a processing result provided in the previous steps is stored into a knowledge base to serve as knowledge resources supporting supervision requirements after artificial check. The automatic news splitting method for volume broadcast television supervision has the advantages that the constructed audio and video features accord with the description of the news item boundary, the designed audio and video fusion strategy fits with a news item organization structure, and therefore the news splitting process is higher in execution efficiency, higher in column robustness and more ideal in result compared with an existing method.

The invention discloses a smart campus teaching system which stores data information, provides data information and manages data. A network system completes information transmission and resource sharing. A database is applied to multiple campuses of the same school. An education application unit, a learning application unit and an education management unit are connected with the database through the network system. According to the smart campus teaching system, sharing of information and knowledge resources is realized through the computer network system, educational teaching application, learning management and educational teaching management are combined organically, and education, learning, research, management, analysis and exchange are integrated. Moreover, the resources and data of the educational teaching, administrative management and communication platforms of campuses are integrated and optimized through cloud services, campus expansion in time and space dimensions is realized, and the quality of educational teaching and the level of management are improved.

The invention provides an online study test question recommendation method and system. The method comprises the steps of acquiring question answering information of a user and test question-checked skill information from a knowledge resource database, wherein the test question-checked skill information includes test question-checked knowledge point information and test question-checked abstract ability information; performing study condition diagnosis on the study condition of the user according to the question answering information of the user to obtain a study condition diagnosis result; determining a candidate recommendation test question set according to the study condition diagnosis result and the test question-checked skill information; recommending the determined candidate recommendation test question set to the user. According to the invention, test questions recommended to users are more targeted, the requirement for individualized online study of users is met and the study efficiency of users is effectively increased.

The invention discloses a rehabilitation training system based on cloud computing. The rehabilitation training system based on the cloud computing comprises a data acquisition module, an evaluation analysis module, a network communication module, a simulation training model, a database module, a system use role management module and an information management system module, wherein the data acquisition module uploads acquired data to a local PC (personal computer) through the network communication module, and then is connected with a server on the Internet. The rehabilitation training system based on the cloud computing has the advantage of using powerful knowledge resources, computers, networks and modern sensing systems in a hospital, remotely acquiring, processing and transmitting training data in real time, enabling a patient to stay at home, perform rehabilitation training whenever and interact with a doctor who sets an example for the patient and guides the patient in the training whenever, greatly facilitating the patient, not only simulating interesting training, but also guiding and controlling the training process and the training scheme according to physiologic feedback information, and significantly improving effects of the rehabilitation training.

The invention discloses a knowledge representation facing industrial big data and an automation application method thereof. The method comprises the steps that: 1) an intelligent object of a corresponding type for each type of knowledge resource in an industrial enterprise is created, and an intelligent object database is obtained; 2) corresponding various determination conditions and calculation models for each set service problem are defined, and a knowledge automation rule is established; 3) according to the knowledge automation rule and a service logic of the service problem, a service flow of the service problem is created; 4) according to the configuration of a start node of the service flow, event data to be processed from real-time information data of the industrial enterprise is determined, and then according to the event data, event statements are generated and sent to an event engine; and 5) according to the received event statements, the event engine searches the service flow for a matched node or intelligent object for carrying out processing, and a processing result is stored. According to the invention, the deposition, inheritance and automation application of service experiences are realized, and the service processing efficiency is improved.

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

The invention provides a knowledge fusion method based on a dynamic body in a cloud manufacturing mode and belongs to research contents of modern manufacturing technologies in the technical field of advanced manufacture. The method is a solution method for integrated application of heterogeneous resource distributed in the cloud manufacturing mode and is based on the dynamic body established by a multi-field body to form fused knowledge resources. The method comprises the steps of firstly performing semantic analysis on knowledge demand, obtaining field term key words; then finding relevant body segments from the multi-field body according to the key words, and restructuring the body segments to form the dynamic body; utilizing dynamic body terms to analyze the knowledge resources implied in files on the basis so as to obtain knowledge fragments with paragraphs as representations, calculating themes of the knowledge fragments, enabling the themes to be associated with the dynamic body to form the fused knowledge resources. By means of the method, unified access and management on multi-source heterogeneous knowledge resources distributed in group enterprises is achieved to some degree, dynamic fusion of existing knowledge resources is achieved, and continuous update and change of knowledge resources and knowledge demands of the enterprises are effectively met.

This invention relates to one economics operation analysis system and in detail to one data effective integration through mathematics module result and non-structure data, which displays the results through space geometry information system on map by integrated data, wherein, the system adopts data ware technique to integrate abnormal structure information, data and knowledge through one series of extracting, clearing, conversion and loading operation to store the data into data ware for effective management and sustenance to provide inquire tools.

A process-oriented field knowledge extraction and push system and a process-oriented field knowledge extraction and push method are provided. The process-oriented field knowledge extraction and push system includes a user module, a knowledge resource module, a knowledge push module and a process module. The process-oriented field knowledge extraction and push method comprises the following steps that: knowledge is extracted from knowledge resources and is represented by knowledge vectors, and process vectors are extracted from a process task, and user attribute vectors are extracted from user description; matching calculation is performed among the process vectors, the user attribute vectors and the knowledge vectors so as to obtain the correlation between knowledge requirement and knowledge; a knowledge scoring value can be calculated through user behavior variables; and finally, the knowledge scoring value is utilized to correct the result of knowledge correlation calculation so as to obtain a knowledge ranking result which is closely related with the process task, and more accurate push of the knowledge to the process task can be realized. According to the process-oriented field knowledge extraction and push system and the process-oriented field knowledge extraction and push method of the invention, the nature of knowledge push is defined as transmission of right knowledge to right people in a right form and in right time. The process-oriented field knowledge extraction and push system and the process-oriented field knowledge extraction and push method are advantageous in high work efficiency and high accuracy.

A system and a method are provided for querying a knowledge resource. The querying system is configured for executing queries in a query language that accepts global backreferences that are not limited to a being located in the condition including a regular expression (regex) to which the global backreference refers. In the method, an input query is received, a query based thereon containing one or more global backreferences is executed, and results are retrieved. One condition of the query includes a regex that identifies strings that match the regex. The regex includes one or more capturing groups for capturing substrings of an identified matching string. The global backreference retrieves the captured substring(s). Each global backreference in the query can be a remote backreference, which is outside the regex condition to which it refers, or a local backreference, which is in the same condition as the regex.

The invention provides a database for guiding individualized medicine taking of a clinical tumor, a constructing method, a searching method and a device thereof. The constructing method of the database comprises the steps of acquiring common data resources of information of a biomarker which is related to tumor chemotherapy, targeted and immunization medicine taking guidance; screening and classifying the common data resources, and obtaining key field and attribute of biomarker information; performing grade classification and dividing on clinical evidence information; establishing a deciphering database structure framework of the biomarker which is related with tumor chemotherapy, targeting and immunization; and recording the information which corresponds with the key field to the corresponding field position of the database structure framework for obtaining the database for guiding individualized medicine taking of the clinical tumor. According to the method, the multi-layer biomarkers which are detected through detecting technology such as high-flux sequencing and immunocytochemistry are comprehensively considered, thereby covering information at aspects of tumor chemotherapy, targeting and immunization medicine taking guidance, and making knowledge resource reserving for clinical medical guidance for individualized medicine taking of the tumor.

The embodiment of the invention discloses a method and server for establishing specialty product knowledge bases, and a method and server for providing specialty product information. The method for establishing the specialty product knowledge base comprises following steps of obtaining specialty product knowledge resources; determining specialty product names according to the specialty product knowledge resources; determining specialty product characterization graphs corresponding to the specialty product names according to the specialty product names; determining the specialty product knowledge bases according to the specialty product names and the specialty product characterization graphs; receiving display request information input by a user; selecting the specialty product knowledge bases according to the display request information; and feeding back the specialty product information in the selected specialty product knowledge bases to the user. According to the method and server for establishing the specialty product knowledge bases, and the method and server for providing the specialty product information provided by the embodiment of the invention, the rich degree of the provided specialty product information can be improved.

The present invention discloses an integrated knowledge cloud service method and system for multi-axial milling of rotor blades, and belongs to the technical field of knowledge services of cloud manufacturing and processing of components of rotor blades. The method comprises the following steps: obtaining knowledge service requirement information of a multi-axial milling process of rotor blades and establishing a knowledge service requirement model; inputting the knowledge service task requirement information; parsing and matching the service task requirement information; establishing a knowledge cloud service process model, and setting the service task related information; and managing the service process, and providing knowledge cloud services for users. The system comprises a human-computer interaction interface, a knowledge cloud library, a task parsing and matching device, and a service flow collaborative activity engine. The method and mode provide knowledge cloud services for the milling process of the rotor blades in the cloud mode, and systematically represent the knowledge resources of the milling process of the rotor blades, so that the utilization rate of knowledge resources and the milling efficiency of the rotor blades are improved.

The invention belongs to the technical field of computers, and relates to a method for extracting conceptual word meaning development veins based on construction. The method comprises the following steps: firstly, representing domain knowledge in a knowledge network construction form, analyzing a cognitive semantic relationship with interpretability among knowledge, generating a knowledge construction relationship, and obtaining an interpretation support set of the knowledge; then, under different time-space domains, mining the evolution relation between knowledge pairs, and based on knowledgenetwork construction, carrying out evolution fusion on knowledge in different time domains through a clustering algorithm, finally, extracting evolution veins of the knowledge to help a user to accurately understand the relation between the knowledge, and overcome knowledge defects. The method provided by the invention can be used as an important service content of a domain knowledge system, intelligently and efficiently helps a user to tease the evolution process of knowledge, acquire the relationship between knowledge and analyze key knowledge nodes of domain knowledge development, so thatthe user can find high-quality knowledge resources more easily.

The invention belongs to the technical field of die design knowledge management and relates to a die design implicit knowledge acquiring and searching method. The die design implicit knowledge acquiring and searching method comprises the following steps: (1) expression of die design implicit knowledge; (2) acquisition of the die design implicit knowledge; (3) similarity calculation of the die design implicit knowledge; (4) searching of the die design implicit knowledge; (5) service workflow of the die design implicit knowledge. The die design implicit knowledge acquiring and searching method uses a designer knowledge structure model as a core, combines a body implicit knowledge base to express the die design implicit knowledge, organically combines the implicit knowledge with a knowledge owner, provides a comprehensive die design implicit knowledge life cycle processing method and means and helps an enterprise to promote value of knowledge resources. By statistics and analysis on data, the participation degree and the contribution degree of a user can be known; by virtue of a corresponding accumulated point counting and ranking mechanism, activity and the sense of honor of the user can be greatly stimulated.

The invention discloses a resource association method based on crowd intelligence aggregation convergence. Firstly, public participation-oriented learning resource labeling tasks are formulated, and participants are mobilized to mark relevance degrees of knowledge, then deception-type participants are screened out through evaluating task completion situations of the participants, and are marked asunqualified users; remaining higher-quality label results are collected after the unqualified users are filtered out, mark classifications made by participants are utilized and an EM algorithm is used to continuously iterate to calculate each participant error rate pi and each relevance T, iteration is continually carried out through the EM algorithm until convergence is reached, and thus the relevance degrees between knowledge points are estimated; and a label result set of the participants is obtained by collection, association degrees between resources are calculated, and finally, association data are stored to a server. Relevance between the knowledge resources is obtained, the deception-type participants can be effectively found and replaced in time, crowd intelligence label qualityis improved, and technical support is provided for deeply mining association between the learning resources.