58 results about "Individual knowledge" patented technology

The embodiment of the invention discloses a method and device for recommending learning paths based on mapping knowledge domains. The method for recommending learning paths based on mapping knowledge domains comprises the steps of creating individual mapping knowledge domains of a user, evaluating the individual mapping knowledge domains, and recommending the learning paths to the user. A terminal creates the individual mapping knowledge domains of the user according to operation information of the user and performs analysis and evaluation of the individual mapping knowledge domains, the user is assisted in knowing the individual knowledge mastering degree, the best learning path is recommended to the user on the basis of knowledge points which the user does not master or know, the user is assisted in rapidly mastering the knowledge points which the user does not master or know, and the phenomenon that the user learns blindly can be avoided.

Methods, systems and computer-readable medium for enabling improved market value and sales price calculations are provided. In one case, a plurality of data sets are analyzed by a computer to derive a predictive equation. Each data set contains (a.) a sales price of a particular real property; and (b.) a plurality of quantitative parameters of qualities and conditions related to or descriptive of that particular real property. A human analyst then reviews the predictive equation and may modify the equation in light of the analyst's personal knowledge or research of a geographic area or neighborhood comprising the real properties of the data sets. The modified equation may only be applied to a geographic area associated with the human analyst. The invented method may be applied to forecasting and valuations in general, wherein a general valuation equation is computationally generated and an analyst modifies the equation.

The embodiment of the invention discloses a method and a device for processing data in electronic equipment and the electronic equipment. The method is applied to the electronic equipment, the electronic equipment stores a plurality of items of personal knowledge, and each item of personal knowledge is collocated with a custom attribute. The method comprises the following steps: acquiring a search keyword; determining the custom attribute matched with the search keyword; and screening and pushing the personal knowledge of the custom attribute matched with the search keyword in all the personal knowledge stored in the electronic equipment according to the matched custom attribute. In the method and the device, the custom attribute for the personal knowledge is preset and the set custom attribute and the search keyword sent by a user are matched, the user can quickly search the stored personal knowledge, and the work efficiency of the user can be improved.

The invention discloses an intelligent parenting knowledge service method and system. The method comprises the steps of collection of information, wherein latest child disease data information is downloaded and parsed by a crawler program at regular intervals and stored in an mysqul database; construction of an expert robot knowledge library, wherein the construction of the expert robot knowledge library comprises the three steps of disease counseling, disease prediction and doctor recommendation; construction of a personal robot knowledge library, wherein a user constantly inputs individual knowledge to a personal robot, and the personal robot stores the knowledge in the mysql database in a mode that one question corresponds to one answer, and provides process type parenting knowledge services for different users in a knowledge community mode; implementation of system interaction, wherein user interaction is achieved through a PC side and a mobile side. According to the intelligent parenting knowledge service method and system, the problems are solved that existing parenting knowledge service methods cannot completely present the whole process of a pediatric disease from onset, treatment to healing, user-friendly intelligent presentation methods are lacking, and presentation modes are single.

The invention discloses a knowledge map evaluation method and device. The method includes the steps that operation data generated when a user conducts operation at a terminal and identity identification of a user are obtained; a personal knowledge map of the user is established according to the operation data and the identity identification; target knowledge nodes corresponding to all knowledge nodes in the personal knowledge map are determined from a prestored scientific knowledge map; statistics is conducted on the first relevance total value of all the knowledge nodes in the personal knowledge map and the second relevance total value of all the corresponding target knowledge nodes; statistics is conducted on the specific value of the first relevance total value and the second relevance total value, so that the personal knowledge map is evaluated. By means of the technical scheme, the knowing degree of the known knowledge modules or knowledge points of the user can be accurately determined, so that the user can accurately obtain and fully comprehend the knowledge which is not deeply understood according to the determined recognition degree or knowing degree of the known knowledge points or knowledge modules.

One embodiment of a system of present invention includes means for obtaining an image from a requester, means for obtaining contact information for vouching people, whom requester identifies as having personal knowledge of the requester, and means for sending an electronic message to the vouching people, with a link to an image lineup. The image lineup contains the image obtained from the requester and other images. The system further includes means for receiving a selection choice from the vouching people, identifying whether the image in the image lineup depicts the requester, and means for calculating a statistical rating of a likelihood that the image obtained from the requester depicts him/her.

A plurality of knowledge enhanced graphical symbols are utilized to represent a display element type when displaying a common operational picture. Plural instances of such a display element type allow rapid visual assessment of the situation displayed on the common operational picture by permitting a user to rapidly identify instances which are abnormal or problematic. Individual knowledge enhanced graphical symbols may aggregate information from other knowledge enhanced graphical symbols and other knowledge enhanced graphical symbols may be utilized to change the state of data in a database from which information about the common operational picture is derived.

The invention discloses an intelligent question-grouping method based on item response analyzing results. Intelligent question grouping is carried out according to knowledge-point grasping probabilities of students, the intelligent question grouping includes the following steps of 1, determining knowledge points that the students need to exercise; 2, determining the total number N of exercises done by the students; 3, determining the number of exercises, done by the students, of each knowledge point; 4, determining selected exercises of each knowledge point. According to the item response theory, the knowledge-point grasping probabilities of users are evaluated, targeted intelligent question grouping is conducted according to the knowledge-point grasping probabilities of the students, students' personal knowledge-point grasping conditions, learning abilities, learning wills, answering speeds and other indexes are fully taken into account, regarding different student individuals, the intelligent question-grouping method based on the item response analysis results controls the difficulty and number of the exercises, personalized exercises are set to the students, resistance moods of the students in the studying progress are reduced, and the learning effects of the students are improved.

The present invention provides a customized just-in-time learning support system and method based on constructivist learning theory. The system comprises a user knowledge demand behavior analyzing and recording module, a label relation graph micro-knowledge base, a constructivist learning-based micro-knowledge recommendation algorithm module and the like modules. With the system according to the present invention, construction demands of knowledge are analyzed based on social networking media information of a user, and micro-knowledge for customized learning is recommended to the user, thereby quickly making up for the deficiency of knowledge for the user. The method according to the present invention, as important service content in an Internet-based social networking system, efficiently and intelligently helps a user to improve personal knowledge quality, thereby achieving good economical and social benefits.

The invention discloses a college teacher and student knowledge sharing platform based on a KNN. The system comprises four parts as follows: a basic platform layer, a data layer, an application layer and a display layer. Through summarizing knowledge and knowledge management theories and combining current college knowledge management situations, a college knowledge management and knowledge sharing framework model is proposed; knowledge is classified; a relatively complete college teacher and student knowledge sharing framework model is built. Bottleneck problems appeared in a knowledge management Web1.0 environment are discussed; the advantages of a Web2.0 in realizing teacher and student knowledge sharing aspect are compared and analyzed according to the current information technology development situations; a feasible construction scheme is proposed; the knowledge sharing platform is built; the functions of the knowledge management platform is improved according to application results; an incentive mechanism is introduced; and references are provided for personal knowledge sharing of colleges or organizations of the same type.

The invention discloses a knowledge graph fusion method based on short text similarity calculation, and belongs to the crossing field of education and computer technologies. Knowledge graph fusion mainly exists in a graph fusion form in practical application, and in existing work. Most of knowledge graph fusion focuses on a topological structure in a knowledge graph and ignores semantic information carried in entity name literal meanings. In order to solve the problems, the invention provides a knowledge graph fusion method based on short text similarity calculation. The crowdsourcing thoughtis combined, individual knowledge sub-graphs are obtained, and after the sub-graphs are obtained, the knowledge sub-graphs are preprocessed mainly through sub-graph noise reduction and similarity calculation and then knowledge graph fusion is carried out. The invention provides a specific knowledge graph fusion method, and compared with the traditional similar knowledge graph fusion method, the method provided by the invention has higher correctness and effectiveness, and finally, an effective graph set can be obtained.

The invention relates to a GraphDB-based space-time knowledge graph construction method and device, a medium and equipment. The method comprises the following steps: fusing an OGC standard to construct an architecture of a geographic entity; extracting data related to the geographic entity in the spatio-temporal data to generate an individual knowledge set of the target object; and storing the individual knowledge set into a GraphDB database to form a space-time knowledge graph. Accurate ground object information contained in multi-temporal and large-range remote sensing images is organized and fused, space-time information is described comprehensively and meticulously, and inference rules are introduced to overcome the defects of OWL in inference ability, so that the knowledge graph has stronger inference ability.

The invention discloses a student knowledge system analysis system based on daily homework. The system comprises a data processing device, a voice player and a touch screen are connected to the outerside of the data processing device through communication cables, a password verification module is arranged on the surface of the data processing device, and a test question knowledge base storage module, an operation quality collection module, an individual knowledge system generation module and a test question pushing module are arranged at the connecting end of the data processing device. The system is provided with an operation quality acquisition module and an individual knowledge system generation module. The homework quality collection module collects answering conditions of students toquestions through a plurality of ways. Therefore, the individual knowledge system generation module can gradually build an individualized and differentiated knowledge system for each student based ondaily homework behaviors of the students, establish an exclusive knowledge system for each student, and specially guide for the deficiency of each student, thereby effectively improving the learningand reviewing efficiency of the students and performing knowledge reinforcement in a targeted manner.

The invention provides a social network suicide idea detection method and system. The social network suicide idea detection method comprises the steps of obtaining a suicide risk individual knowledgegraph; and based on the suicide risk individual knowledge graph and a double-layer attention mechanism, obtaining user suicide idea key influence factors, constructing a graph neural network based ona social network, and performing calculation by the graph neural network to obtain a user suicide judgment result. By constructing the individual knowledge graph based on the suicide risk and establishing the double-layer attention mechanism, the problems that data are not easy to obtain and the data are rare in suicide idea analysis in the social network are effectively solved.

The invention relates to the field of education, in particular to a method and a system for extracting scores based on combination of a knowledge graph library and a memory curve. The method specifically comprises the following steps: establishing a knowledge system; starting; selecting a plan; forming a plan library; performing personalized sorting on the knowledge information in the plan library, and extracting the knowledge information of the plan library to form a personal knowledge system; starting to memorize; providing multi-means auxiliary memory; inputting information through voice; making semantic analysis; adjusting the attribute of the knowledge information; forming a personal memory feature; and updating the personal knowledge system to display the personalized learning plan.The recitation result is quickly fed back to the user. A forgetting curve algorithm for the character subjects helps the user to recite scientifically and effectively, and the recitation effect is improved. A personalized learning scheme according to the knowledge graph and the personal knowledge system is established and recitation knowledge related nodes are deeply traced by utilizing the knowledge graph, so that the recitation efficiency is comprehensively improved.

The invention discloses a career planning path architecture system, which comprises a position database module, a career planning path module and a career recommendation module. The position library module is used for providing standardized positions for job seekers to select, including a position library constructed from position data; the career planning path module comprises a career planning path database constructed from career planning path data; the career recommendation module is used for recommending a career planning path and a new position according to the resume data input by the job seeker or the position selected by the job seeker in the position database module. A processing method is also provided. The invention makes the job replacement more convenient, long-term and systematic, and job seekers can obtain a greater development space career path, or find a realizable path according to the interests of occupation; the invention can meet the individual needs of the careergrowth of individual knowledge workers.

The invention relates to an improved variable neighborhood search algorithm-based production scheduling method and system. The method comprises the steps of 1, grouping workpieces; 2, performing batching on the workpieces in each group; 3, setting a neighborhood structure of a solution; 4, setting a learning policy; 5, setting parameters in an algorithm; 6, generating an initial solution; 7, generating an initial population individual; 8, initializing an individual knowledge base and a social knowledge base; 9, performing updating to obtain a new solution of the individual; 10, calculating a fitness value of the individual; 11, updating the individual knowledge base and the social knowledge base; 12, obtaining an optimal solution in a population; 13, comparing the initial solution and theoptimal solution of the population, and if the initial solution is superior to the optimal solution of the population after updating, returning to the step 9; or otherwise, updating the initial solution, and returning to the step 7; and 14, judging whether a stop condition is met or not, and if the stop condition is met, ending the algorithm and outputting the optimal solution, or otherwise, continuing the algorithm. According to the method provided by the invention, the production efficiency can be improved and the production cost can be reduced, so that overall economic benefit maximizationof enterprises is realized.

The invention belongs to the field of education products, and discloses a learning content recommendation method and system, and the method comprises the steps: generating a standard knowledge map according to the learning record information of a large number of users; Obtaining personal information of a user and a learning browsing record of the user; Creating a personal knowledge map of the useraccording to the personal information of the user, the learning browsing record of the user and the standard knowledge map; And recommending learning contents to the user according to the personal knowledge graph and the standard knowledge graph of the user. The method comprises the following steps: firstly, generating a standard knowledge graph according to acquired learning record information of mass users; generating a personal knowledge map of the user according to the learning browsing record and the standard knowledge map of the user; and finally, obtaining knowledge points which are not mastered by the user according to the personal knowledge map and the standard knowledge map of the user, and recommending learning contents related to the knowledge points which are not mastered tothe user so as to achieve the purposes of accurately obtaining learning requirements of the user and recommending the related learning contents to the user.

The invention relates to a comprehensive teaching platform based on BIM/GIS fusion. The platform comprises a bearing pedestal, a bearing column, a display cavity, a working platform, a tray, a lifting driving mechanism, a positioning plate, a monitoring camera group, a control terminal, and a driving guide rail, wherein the lower end surface of the bearing column is connected with the upper end surface of the bearing pedestal; the upper end surface of the bearing column is connected with the lower end surface of the display cavity; the tray is connected with the display cavity through the lifting driving mechanism; the positioning plate is slidably connected with the driving guide rail through a sliding block; the inner side face of the positioning plate is hinged to the monitoring camera set through a rotary table mechanism; and at least one control terminal is arranged on each working table. The using method comprises the three steps of equipment assembling, teaching setting and homework learning. On one hand, the requirements of subject theory teaching and practical teaching such as computer aided design, computer drawing major and three-dimensional modeling design can be effectively met; and on the other hand, students can carry out key learning and repeated learning on individual knowledge points according to own characteristics, so that the teaching working efficiency and quality are improved.

The invention relates to a system for visualizing and simulating personal knowledge structures in a company which has one or more business units. It comprises a first server for storing a first dataset, which describes a model of the company structure, wherein for each employee position in the company an employee target profile is defined, which comprises an employee target competence profile; and for storing a second dataset, which specifies the sales achieved for the individual business units; and for storing a third dataset, which depicts recorded employee actual competence profiles. Furthermore, it contains a second server which comprises a program that calculates a plurality of indexes based on the data of the first dataset, second dataset, and third datasets, in particular the human potential and/or the economic temperature. In addition, the system has a graphic user interface, which displays the calculated indexes for each employee actual profile and/or each business unit at a corresponding point in the pictured company structure.