191 results about "Knowledge production" patented technology

The invention relates to the technical field of information labeling, and discloses an automatic audio/video label labeling method and system. The method includes the steps that knowledge points and vocabularies of all subjects are captured in advance, and a corresponding subject mapping knowledge domain is built; the subject vocabularies serve as a hot word source, and voice frequencies extracted from an audio/video to be labeled are converted into a text; key words in the text are extracted, and the subject to which the audio/video belongs and the knowledge points are determined according to the incidence relation of the keywords and the mapping knowledge domain; a label corresponding to the audio/video is built, and the label comprises the keywords and the subject to which the audio/video belongs and the knowledge points. By means of the automatic audio/video label labeling method and system, the audio/video source contents can be fully excavated, automatic labeling of labels is achieved, the amount of manual intervention is reduced, and meanwhile, a good basis is provided for the later resource push and other services.

This invention discloses one public platform for electric commercial teaching, which comprises electric commercial analogue system, online remote study system, interacting community system, online remote check system and online electric commercial practice system, wherein, the electron commercial analogue system is for each platform; the online remote study system analyzes each knowledge point in the system; the interacting system is one internet interacting teach platform with complete network teach ability; the online remote check system tests each knowledge point; online commercial practice system is to train student real operation ability.

The invention relates to an interactive mode learning system. The interactive mode learning system comprises a learning content module, an analysis control module and a network interactive mode learning terminal, wherein the learning content module is used for storing knowledge point sets of a plurality of subjects, each subject comprises a plurality of knowledge domains, each knowledge area comprises at least one knowledge chain, and each knowledge chain comprises a plurality of knowledge points; the analysis control module is used for taking out relative knowledge points from the learning content module according to the learned knowledge point collection P to test users so as to generate a learning knowledge point Y, a study plan is generated according to the learning knowledge point Y, and the study plan is output the network interactive mode learning terminal; and the network interactive mode learning terminal is used for taking out relativity knowledge point from the learning content module according to the study plan output by the analysis control module so as to learn by the users, learning tracks of the users are simultaneously recorded, and the learning tracks are fed back to the analysis control module so as to adjust the study plan. The interactive mode learning system provided by the invention can perform distinguished tuition and test according to individual difference and the master degree of knowledge points of trainees, and the established study plan is more scientific and more beneficial to improvement of the trainees.

The invention discloses a knowledge map based resource retrieval method applied to help learners to quickly position study resources as needed and guide the learners to learn. The method includes the following steps: 1), organizing knowledge points; 2), creating a knowledge map; 3) mapping resource entities to the knowledge map; 4), retrieving and displaying resources. The knowledge map based resource retrieval method is quick to retrieve and accurate in positioning.

The invention discloses a data processing method based on a knowledge map, which comprises the following steps: constructing a knowledge map based on the sorting of examination questions and teachingand research knowledge, school teaching, teaching materials and the difficulty degree of examination questions to obtain a knowledge base; setting search conditions and extracting test questions according to the search conditions, wherein, when the search conditions contain natural language, the search conditions are converted into structured search instructions including knowledge points and search ranges, and the search instructions are matched with the contents in the knowledge map to search out the test questions; carrying out similarity algorithm, sorting algorithm and comprehensive screening algorithm on the searched test questions to obtain a screening result; pushing the filter results to the user. The invention simplifies the retrieval process of the test questions and improves the efficiency of searching the test questions by establishing the knowledge map of the test questions and searching based on the knowledge points when searching.

The invention provides a knowledge graph construction method based on a knowledge point connection relation and belongs to the field of education and learning. The method comprises steps as follows: acquiring meta-knowledge points, and establishing a knowledge point database comprising the meta-knowledge points; selecting the meta-knowledge points according to content characterizing teaching knowledge points and a basic knowledge point combination having dependence relationships with the meta-knowledge points; determining path length of each meta-knowledge point, relative to a first meta-knowledge point, in the basic knowledge point combination; constructing the knowledge graph according to the dependence level and the path length. On the basis of the content, a net-like relationship graphcontaining the dependence relationships and path length values corresponding to the dependence relationships is drawn, then the knowledge graph is obtained, the meta-knowledge point with the highestcorrelation with the first meta-knowledge point can be determined at any time in the learning process, so that effects of making up the deficiencies and drawing inferences are achieved in the learningprocess, the probability of occurrence of learning blind areas is reduced, and finally, effectiveness of learning is enhanced.

The invention provides a learning resource recommendation method, which comprises the following steps: collecting the learning information of a user; preprocessing the learning information to obtain effective learning information; analyzing the effective learning information to extract knowledge points; according to the effective learning information, obtaining the weight of each knowledge point; according to association strength among the knowledge points and the weights of the knowledge points, forming a knowledge point undigraph; and according to the weights of the knowledge points in the knowledge point undigraph, recommending learning resources to a user. The invention further provides a learning resource recommendation system, and the system independently establishes the knowledge point undigraph which conforms to own personality characteristics for different users and records and tracks the learning dynamics of the users in real time so as to improve learning resource recommendation accuracy and improve the learning efficiency and the experience degree of the user.

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

The embodiment of the invention relates to the field of intelligent equipment technology and discloses a test question recommendation method and device based on knowledge points and user equipment. The method comprises the steps that after a student selects a certain knowledge point on a study client, the grasp degree of the knowledge point by the student is acquired; according to the grasp degree of the knowledge point by the student, test question difficulty corresponding to the grasp degree of the knowledge point is determined, wherein the grasp degree of the knowledge point and the test question difficulty are in a direct proportion relation; the study client is controlled to recommend a plurality of test questions which are relevant to the knowledge point and have difficulty identical to the test question difficulty to the student. By the implementation of the embodiment, the test questions consistent with the grasp degree of the knowledge point by the student can be recommended to the student, and therefore the study efficiency of the student can be improved.

The invention provides a multimedia courseware retrieval system based on voice keyword recognition. Firstly, a backstage converts pre-provided text knowledge points into voice models, courseware is labeled by a voice recognizing technique based on a hidden markov model to locate the accurate positions of the knowledge points in the multimedia courseware, and a reverse index based on keywords is constructed and maintained in an index module. When a user inputs text keywords in a prompt box to inquire, results in the index are extracted to be displayed to the user if the keywords are previously labeled. If the keywords are not labeled, the system can retrieve the courseware in real time, waits for feedback of the user to the results and makes statistics for the feedback information. Self-adaption training is carried out on the keywords to label the courseware again and upgrade the indexes. Compared with a traditional network course learning style system, the courseware retrieval system can quickly search for and locate the keywords of the knowledge points, improves retrieval accuracy through user interaction and finally improves the learning efficiency of students effectively.

The invention discloses an online education curriculum interaction method and system based on an intelligent television, wherein the method comprises the steps that A, according to teaching content, dividing each video on a server into a plurality of knowledge points, each knowledge point is associated with another video, and examination questions are added to each knowledge point; B, server pushes videos to the intelligent television, and when the knowledge points of the videos are played, the corresponding examination questions are displayed; and C, when an answer result of the user is received, the answer result is uploaded to the server, the server grades the answer result, and when the answer result passes, the next knowledge point is continuously played, or a click instruction of the user is received, and another video associated with the knowledge point is played. According to the invention, functions are added to television online education, convenience is provided for serving students, the knowledge points of the online education videos are more detailed and abundant, and each knowledge point is no more limited to one video.

A teaching courseware construction method based on meta-knowledge points includes the steps that when a teacher needs to make courseware, the teacher can have access to a database of a server through a courseware editor on a terminal, and teaching resources of multiple subjects divided with meta-knowledge points as the units are stored in the database; when the courseware editor is started, the teacher can select required teaching resources and generate the courseware through the courseware editor, meanwhile, the newly generated courseware is stored into the database by the server, and other teachers can view the newly generated courseware through terminals and copy the courseware. Through the teaching courseware construction method based on meta-knowledge points, the workloads of teachers are greatly reduced, the courseware can be replenished or improved in time, the teaching method can keep being promoted, and the teaching effect is improved.

The invention provides an on-line teaching system, and the system comprises an exercise subsystem, an answer analysis subsystem, and a teaching resource database. The exercise subsystem presents the exercises to students according to knowledge points, and receives an answer result submitted by students. The answer analysis subsystem analyzes the answer result, determines the knowledge points which are not mastered by the students, and selects a teaching material, containing the knowledge points which are not mastered, from a teaching resource, and presents the teaching material to the students. The answer analysis subsystem analyzes the answer result, determines the property of the knowledge points which are not mastered, selects exercises, comprising the knowledge points which are not mastered and knowledge points the same as the knowledge points which are not mastered in property, from the teaching resource, and presents the exercises to the students. The correlation between the teaching material and the exercises in the teaching resource is built through the knowledge points. The system can recommend the teaching material and the exercises to the students intelligently through the analysis of the answer results of the exercises submitted by the students, and also can track the learning progress and the knowledge point mastering condition of the students in a whole-process manner. The system effectively improves the intelligentization degree, and improves the teaching experience.

The invention discloses a student cognitive diagnosis method, which comprises the following steps of obtaining the historical answer information of a student, and extracting a test question text and the predefined knowledge points contained in the test question text; calculating a knowledge point relevancy vector of each test question according to the test question text and the contained predefined knowledge points; taking the set student parameters and the test question parameters containing the knowledge point relevancy vectors of the test questions as the input of a cognitive diagnosis model constructed by a neural network, fitting the answer results, obtaining the knowledge point mastery degree vectors of the students through training, and completing the cognitive diagnosis of the students.

The invention discloses a knowledge network semi-automatic generation method. The method comprises the following steps: (1) firstly forming a knowledge network kernel; (2) utilizing single text knowledge discovering and extracting unit to receive a nonstructural document, discovering knowledge points to be concerned from nonstructural text data by virtue of a participle and named entity recognition technology, and extracting the knowledge points; (3) placing new knowledge in corresponding positions to serve as candidate knowledge after carrying out knowledge discovery and extraction on a plurality of documents; and (4) submitting the candidate knowledge to a corresponding expert system by a knowledge network operation platform to determine the correlativity, selecting the candidate knowledge with the determination result of yes as the confirmed knowledge, and discarding the candidate knowledge with the determination result of no. Starting from a small knowledge network kernel, the knowledge network semi-automatic generation method provided by the invention can be used for automatically discovering, extracting and organizing the knowledge from massive data from the internet througha computer so as to rapidly and effectively construct the knowledge network structure after the knowledge is confirmed by the expert system.

The invention provides a goal driven learning point and learning path recommendation method based on a mapping knowledge domain and belongs to the field of distributed computation and software engineering technology crossing. The method mainly aims at enabling a learner to obtain most efficient learning guidance by spending least time and vigor (it is assumed that time and vigor are evenly distributed, and knowledge obtained in unit time and vigor is identical) and enabling the learner to avoid knowledge not needing to be learnt and only spend time and vigor on unknown or unskilled knowledge. Firstly, a knowledge system map of a corresponding subject is established according to existing resources, the current learning status of the learner and the learning goal needing to achieve finally are acquired, learnt knowledge points and non-learnt knowledge points of the learner and the time and vigor of the learner spent on each knowledge point are marked on the mapping knowledge domain, and weights are used for showing. By means of a path selection algorithm, the knowledge points needing to be learnt and efficient learning strategies are recommended to the learner.

The invention provides an on-line programming teaching method and system. The method comprises the following steps: selecting and receiving an on-line course of a knowledge point; completing the programming exercise related with the knowledge point, if the programming exercise reaches a preset standard, accessing the on-line course of the next knowledge point. After one knowledge point is learned, the programming exercise related with the knowledge point can be executed, only if the programming exercise reaches the preset standard, namely a user masters the knowledge point in a certain degree, the next knowledge point can be accessed for learning. A teacher can execute the on-line answer to the questions of the user through a teaching-side terminal device, so the learning efficiency of the user is improved.

The system thereof comprises test unit, communication server, supervision terminal, database server, analyzing and processing server, analyzing terminal and communication network for connecting said devices. The method based on said system comprises: collecting data; preprocessing data; diagnosis and estimation; statistic; trend analysis, effect-cause analysis and rule adjustment. The invention supports the full test of voice quality for GSM900/1800/GPRS,CDMAIS95/1X/EVDO.

For carrying out structural sorting on the online education courses and test resources, marking is carried out through the knowledge point-based tag system, and then based on the location and the relationship of the knowledge points in the knowledge map, structural description of the courses and test resources is formed. The behavior data of a student in browsing, retrieving and learning online courses as well as conducting various online tests is collected, filtering, cleaning, sorting, associating and recalculation are carried out according to a certain method, and an effective behavior description log of the individual student learning process is established. Based on the structural description of resources and the behavior log description of the individual student, behavioral marking, performance quantification and ability rating are carried out on the student from the perspective of knowledge points, and a preliminary ability quantification model is established.

The invention provides a knowledge point predicting method and device, a storage medium and an electronic device. The method determines knowledge points contained by a to-be-predicted test question qtthrough a pre-established knowledge predicting model, and includes the steps of extracting deep semantic information QDqt of the to-be-predicted test question qt and deep semantic information JDkj ofteaching and research experience of each knowledge point kj in a knowledge point set, wherein the teaching and research experience of each knowledge point is the description of the knowledge point inthe test question, j is larger than or equal to 1 and smaller than or equal to m, and m is the number of the knowledge points contained by the knowledge point set; obtaining the similarity Wqtkj between the QDqt and the JDkj through an attention mehcanims, and obtaining the importance degree Cqt of the teaching and research experience for the to-be-predicted test question qt based on the QDqt andthe JDkj; predicting the knowledge points contained by the to-be-predicted test question qt through the QDqt and the Cqt. By means of the scheme, the knowledge point predicting accuracy can be easilyimproved.

The invention provides a personalized practice method and system. The method herein comprises the steps of acquiring a user subject knowledge map, to be specific, acquiring the user subject knowledgemap from a knowledge map database according to a student's ID (identity) and subject; acquiring recent class information, to be specific, acquiring the recent class information from a class information database according to the student's ID and subject; generating a knowledge point practice list, to be specific, determining knowledge points to be practiced and their weights according to the recentclass information and the student subject knowledge map, and adding them to the knowledge point practice list; generating an exercise list, to be specific, generating the exercise list according to time to be spent for practice and the knowledge point practice list; evaluating the practice, to be specific, evaluating according to the student's exercising data, judging whether each exercise is correct, and updating related data; displaying practice results, to be specific, giving a summary to the practice. Practicing is performed personally according to students' degree of master for knowledgepoints through the above means, excessive exercises tactic is abandoned, and the student's learning efficiency and effect are improved.

The invention discloses a learning effect detection method based on big data and a learning effect detection device thereof. The method comprises the steps that when the situation that terminal equipment completely plays a learning video is detected, test questions matched with the knowledge points of the learning video are determined from a pre-stored question bank based on big data analysis and the test questions are pushed to the terminal equipment; the answer results of the user for the test questions fed back by the terminal equipment are received, and the master degree of the user for the knowledge points of the learning video is determined according to the answer results; and the determined master degree of the user for the knowledge points of the learning video is pushed to the terminal equipment, wherein the master degree is used for reflecting the learning effect of the user for the knowledge points of the learning video. With application of the learning effect detection method based on the big data and the learning effect detection device thereof, the relevant questions of the learning video can be pushed to the user to answer after completion of playing of the learning video to detect the learning effect of the user so that the user is enabled to know his own learning situation and the learning efficiency of the user can be enhanced.

The invention discloses a visualizing method for knowledge genealogy, which comprises the following steps: extracting knowledge points and time attributes from literature data; performing year division on the knowledge points according to a time slicing method; counting appearing times of the knowledge points and co-occurrence times of the knowledge points; determining a genealogy relationship between the knowledge points and a target knowledge point according to years of all the knowledge points having a co-occurrence relationship with the target knowledge point; and finally arraying all the knowledge points on a time axis according to the years, so as to visually show a developing venation relationship between the knowledge points. According to the visualizing method for knowledge genealogy, a beginner in a professional field is assisted in searching and learning the valuable knowledge points from mass literature information and quickly and scientifically mastering the research topic and developing venation relationship contained in the literature, and the problem of inferior searching and learning effect caused by a user being short of professional background knowledge is solved.

The invention discloses a resource organizing and displaying method based on knowledge relation. The method comprises the steps that a user terminal searches for file information with knowledge pointsas matching basis, a matching list of the knowledge points and file resources is generated with the knowledge points of a knowledge base in a server as basis and uploaded to a resource processing center of the server, and the user terminal extracts video characteristics with the knowledge points as matching basis; a matching list of the knowledge points and video resources is generated with the knowledge points of the knowledge base in the server as basis and uploaded to the resource processing center of the server, when the user terminal acquires corresponding file/video resource informationthrough the knowledge points, the server preferentially extracts records with high text similar matching weight according to the user-defined matching weight, and multiple records are sent to a client terminal according to the array of the weight size. According to the resource organizing and displaying method based on knowledge relation, documents and videos are associated through the knowledgepoints, therefore, when a user learns and watches the videos, the knowledge points which are referred in the videos can be looked up in document resources, and the reverse is also true.

The invention relates to a rapid manufacturing method for mobile learning courseware. The method comprises the following steps of performing content cutting and processing of existing documents and video training and learning materials, and generating electronic courseware including one or more knowledge points, wherein each knowledge point comprises a content fragment, and self-test questions, supplementary materials and FAQ for helping to master the content of a fragment. Compared with the prior art, the invention helps learners to carry out fragmented learning on mobile equipment in a targeted manner.