200 results about "Body of knowledge" patented technology

A computer-implemented method is provided for searching documents containing complex bodies of knowledge, such as patents and research papers. The computer-implemented method and related hardware and software provides methodology to interpret the intent of the searcher (the meaning of the searcher's query) into a MetaLanguage, including but not limited to the use of Fundamental Nature Attributes, Fundamental Action Attributes and Weighting of these attributes as it pertains to the intent of the searcher. The invention relates to semantic based searches. The same methodology that is used on the searcher's query is also used to mine and store the existing databases of patents and research papers into databases of MetaLanguage for the purpose of producing search results that better match search inquiries.

A method of assembling a knowledge database containing question and answer pairs, the method comprising the steps of: extracting questions from a multiplicity of electronic communications; enabling the sender of the communication to examine and select or deselect the extracted question(s); classifying each question based upon the content of the question and identifying keywords in each question; entering the questions into the database together with their respective classifications and keywords; and entering into the database answers corresponding to the entered questions; wherein an answer to a question may be found by classifying the question and identifying keywords therein, identifying questions contained in the database which have the same or a similar classification and which contain some or all of the same keywords, and identifying the corresponding answers

A computer system and method of presenting information from a body of knowledge to a user utilize a three-dimensional model to facilitate user comprehension and management of both the specific information in the body of knowledge, as well as the contextual relationship of the information within the body of knowledge as a whole. An abstraction stack is utilized to concurrently display information elements associated with different levels of abstraction for a body of knowledge, with the information elements visually linked with one another in a three dimensional workspace to represent the hierarchical arrangement of the information elements within the scope of the overall body of knowledge. In addition, a computer system and method of authoring a body of knowledge permit a user to input information with the contextual relationship of the information within the overall body of knowledge established in an intuitive and efficient manner. An authoring tool facilitates the creation of a body of knowledge by an author by organizing information into one or more information elements associated with various levels of abstraction. Users are concurrently presented with a plurality of user input elements configured to receive input from a user, with each user input element associated with a particular level of abstraction. Once information is received into a particular user input element, an information element is stored in a computer system and associated with the level of abstraction for the user input element.

The invention provides a special disease knowledge graph construction method and device. The method comprises the following steps of: on the basis of constructing a special disease knowledge system, extracting medical entity information by utilizing a pre-constructed entity extraction model; extracting attribute information and relation information of the medical entity on the basis of the specialdisease knowledge system; and based on the extracted information, building a knowledge map of the disease, wherein the entity extraction model is a model trained on the basis of a pre-labeled training data set, and the training data set is constructed by using medical word list matching in combination with manual auditing and labeling. When medical entities are extracted, the training data set required by entity extraction model training is constructed by using medical word list matching in combination with manual auditing and labeling, so that the workload of constructing the training data set can be reduced, the consumption of manpower resources and time resources is reduced, and meanwhile, the construction efficiency and knowledge rationality of a special disease knowledge map can alsobe improved.

A software system that automates the use of computing systems by storing English language sentences using synonyms and symbol words to allow user access to computer resources without having to know the technical details or the specifics associated with a body of knowledge. Synonym sentences allow users to get to computer resources using different words stored in different sentences that open the same computer resource (i.e.: a document) to significantly improve a first time request for information. Sentences learned (stored) in text or SQL databases or used in a software agent sentence or search engine sentence are automatically parsed and directed to the appropriate knowledge repository to automated computer processes or to get user information without having to know any technical details required to navigate through computer systems or computer data. Multiple words or sentences can be linked together with computer resources to further automate job tasks.

The system of knowledge architecture transforms knowledge of an expert by capturing the knowledge as structured content; and using the structured content in a software format. Knowledge is captured by mapping the structured content into topics and questions and / or a structured document, inputting said structured content, and storing said structured content. The structured content is then prepared for use as a specialized software application, next the prepared structured content is presented to a user where interaction with a user in a software format causes the forming of a narrative end-product based upon the data structure that communicates the findings and opinions of the expert knowledge.

A method and apparatus for determining contexts of information analyzed. Contexts may be determined for words, expressions, and other combinations of words in bodies of knowledge such as encyclopedias. Analysis of use provides a division of the universe of communication or information into domains, and selects words or expressions unique to those domains of subject matter as an aid in classifying information. A vocabulary list is created with a macro-context (context vector) for each, dependent upon the number of occurrences of unique terms from a domain, over each of the domains. This system may be used to find information or classify information by subsequent inputs of text, in calculation of macro-contexts, with ultimate determination of lists of micro-contests including terms closely aligned with the subject matter.

The invention provides a semantics-based registration information security officer authentication capability evaluation method and system and relates to the field of information security. The method comprises the steps of establishing an information security knowledge system ontology library, establishing a knowledge association recommendation, establishing a knowledge association path recommendation based on the ontology library, a knowledge point association path between knowledge classes and an association path between knowledge bodies, conducting evaluation on students, giving a general statistical analysis semantics-based analysis result and forming an electronic report. The system comprises an authentication management module, an authentication examination module, a capability assessment management module and a system management module. According to the method and system, semantic association between evaluated knowledge points is considered in all the steps from knowledge system establishment to evaluation result analysis, so that the mechanical properties, caused by automatic processing, of evaluation are reduced, evaluation efficiency and quality are improved, the reasonability of a final evaluation result is guaranteed, and then the purpose of capability evaluation is better achieved.

Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations. The data structures built and the knowledge acquired by a machine through executing the investigation methods of the present disclosure enables artificial intelligent systems, machines, and agents to perform intelligent tasks and jobs.

The invention discloses a multi-source heterogeneous remote sensing data association construction and multi-user data matching method. The multi-source heterogeneous remote sensing data association construction and multi-user data matching method comprises the following steps of 1, inputting a remote sensing service data set and a remote sensing product data set; 2, performing data cleaning and preprocessing; 3, performing data classification modeling; 4, performing knowledge extraction, including attribute extraction of remote sensing business data and feature extraction of remote sensing product data; 5, performing multi-source heterogeneous knowledge fusion, constructing a link relationship for the plurality of knowledge, and fusing attribute similarity of different ontology data according to metadata information extracted from the remote sensing data to construct the link relationship of a plurality of knowledge systems; 6, constructing an association relationship model; 7, miningand analyzing a large amount of collected user identities and behavior data, and constructing a user portrait label; 8, carrying out similarity calculation on the identity and behavior of the user; and 9, constructing a personalized user portrait model, and matching the personalized user portrait model with a result in the association relationship construction model.

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.

An approach is provided for generating supersets of Q / A action paths based on dynamically generated type sets. In the approach, a corpus of knowledge that is used by the QA system is analyzed. The analyzing is performed according to a natural language processing (NLP) of a number of key words that have been found to exceed an expected frequency, such as a frequency found in general language usage. Runtime code is generated by utilizing the key words. The generated runtime code is able to provide answers from the corpus of knowledge, such as by being in a natural language question or in a structured query language expression, with the provided answers being related to one or more predicted questions.

The invention belongs to the technical field of computer teaching. The invention particularly relates to a learning assistance method and system based on classroom emotion and behavior analysis. The system comprises a data acquisition module, a student knowledge mastering detection module, a teacher teaching content analysis module and a learning pushing module, wherein the data acquisition modulecomprises a video acquisition module and an audio acquisition module; according to the method, the classroom learning mastery degree of students can be effectively analyzed, observation, evaluation and recording of the learning quality of the students are achieved, the mastery situation of the students for knowledge points is judged in combination with classroom audio information of teachers, andthe students are assisted in perfecting a knowledge system by conducting exercise pushing practice on the knowledge points which are not mastered.

The invention discloses an automatic test paper composition method in a B / S (Brower / Server) mode based on a knowledge hierarchy in the field of computers. The method comprises the following steps of 1, judging whether the current question bank meets a test paper composition requirement according to a test paper composition condition and resetting a test paper composition parameter if the current question bank fails to meet the test paper composition requirement; 2, sequentially and circularly drawing questions which are not drawn previously in a specified question type for test papers until all required questions are drawn by a random drawing algorithm based on the knowledge hierarchy in the constructed field, in accordance with a sequence of a knowledge module and a knowledge unit in the module and by following a priority principle of knowledge points of the questions which are not drawn; and 3, computing an average difficulty value of each question type in the test papers after drawing completion and performing difficulty value adjustment with a circular replacement algorithm until the requirement is met. With the adoption of the method, demands that the test papers have no repeated test questions, the knowledge points of the test papers are evenly distribution and maximized, the difficulty of the same question types of the test papers is consistent and a test paper composition range can be flexibly set can be ensured when the test papers are required to be simultaneously composed.

An educational battle game method for teaching key theories and facts in an academic discipline. Game cards import and display key factual data relating to a body of knowledge and are employed in competitive exchanges involving attacks and defenses by the respective players, with the outcome of such exchanges determined by rules applied to the descriptive and / or numerical information about the factual entities that distinguish one factual entity from another. Chance elements and strategic variables may be introduced by chance devices and / or strategic variable cards to alter the outcome of the exchanges.

The invention discloses a customized learning device and method, which belong to the technical field of a learning system. Students use an online learning condition diagnosing module to diagnose their online learning condition. The online learning condition diagnosing module is connected to an un-grasped history knowledge points assessing module and a big data analyzing module. The un-grasped history knowledge points assessing module is connected to the big data analyzing module; a learning path module, a knowledge system module, and an individual learning ability module are all connected to a basic question bank module. The basic question bank module is connected to an artificial intelligent module and a self-adaptive engine module. The artificial intelligent module and the self-adaptive engine module are connected to the online learning condition diagnosing module. The online learning condition diagnosing module diagnoses the students' learning condition and proposes customized solutions. Based on the customized solutions, online and offline customized learning can be carried out. The customized learning device and the method features customization, independence and intelligentization.

The invention discloses a knowledge map construction device and a construction method in the field of health management, the knowledge map construction apparatus includes an interconnected data processing unit for acquiring a plurality of entities and generating relationships among the entities, wherein the plurality of entities include any of a plurality of sports entity, a diet entity, a sleep entity and a psychological entity; Display unit, for constructing and displaying a knowledge map based on entities and relationships between entities, the knowledge map comprises a plurality of nodes,and the knowledge map is used for displaying the current node in the plurality of nodes, the rest nodes related to the current node, and the relationship between the current node and the rest nodes, wherein the plurality of nodes respectively represent the displayed entity, and the connection lines between the plurality of nodes represent the relationship between the displayed entities. The knowledge map is used for displaying the current node in the plurality of nodes, the rest nodes related to the current node, and the relationship between the current node and the rest nodes. The technical proposal of the invention has the beneficial effects of rich content, wide knowledge system coverage and high expandability.

Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations.

The invention relates to a two-dimensional code-based dynamic interactive book index system and an application thereof. The two-dimensional code-based dynamic interactive book index system comprises an intelligent book, a mobile phone APP, a server and a big data analysis module, wherein the mobile phone APP, the server and the big data analysis module are connected in sequence; and the server is internally provided with a database. Aiming at the disadvantages and deficiencies of the conventional paper books and electronic books, an information technology is used for combining the advantages of the paper books and the electronic books; by utilizing the clear knowledge architecture of the paper books and the convenience and rapidness of the electronic books and fusing a multimedia technology, the combination of online learning and offline learning of the readers is realized; through the mobile phone APP, the online communication of the readers and the question answering of the book authors are realized; and meanwhile, multi-aspect and all-around extended services are provided for the reading process of the readers, so that the learning efficiency is improved.

Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations.

The invention relates to a situational teaching system, and belongs to the field of professional education teaching. The system comprises a course management module, a situational management module, a knowledge storage module, a task management module, an integral item module, an effect evaluation module, a class hour setting module and an ability evaluation module, wherein the course management module is used for building and managing courses, the situational management module is used for deconstructing the original subject knowledge system of the courses and reconstructing the original subject knowledge system of the courses into the situations, the knowledge storage module adds the corresponding basic theoretical knowledge according to the situations and sets knowledge points, the task management module designs a plurality of tasks for different situations and sets skill points, the integral item module is used for setting the comprehensive items and integrating the important knowledge points and the skill points of the whole course, the effect evaluation module evaluates and checks the study effect of each stage, the study hour setting module is used for setting the study time of each study link and content, and the ability evaluation module is used for obtaining the ability evaluation scores or giving the integral mark of the courses. The situational teaching system has the significance that the teaching quality and efficiency of vocational education can be effectively improved, and the skill level of students can also be effectively improved.

The invention provides a method, a device and a storage medium for establishing a knowledge system, wherein, structured data and unstructured data are obtained from industry data, wherein, the structured data comprises entity names of entities and attribute information corresponding to entity names; The knowledge map is constructed according to the structured data. The knowledge map includes the attributes and attribute values of entities and the relationships among entities. According to the unstructured data, the map epitaxial layer associated with the knowledge map is constructed. The map epitaxial layer includes question answering layer, knowledge paragraph layer and reasoning layer. The knowledge system obtained by the method is a composite layered system, comprising a knowledge map layer and a map epitaxial layer, wherein the data of the map epitaxial layer and the data of the knowledge map layer are mutually fused, so that the knowledge system has higher industry data conversionrate, and can support the industry application of AI.

The invention discloses a knowledge system modeling method based on knowledge ontology. The modeling method includes the following steps that a knowledge acquisition module acquires knowledge in the technical field and sends the knowledge to a knowledge classification module by providing a knowledge template for a user according to the characteristics of each technical field; the knowledge of all the technical fields is uniformly classified by the knowledge classification module, and the classified knowledge is sent to a knowledge representation module; the knowledge of the same category is represented in the mode capable of being recognized by a computer and sent to a knowledge packaging module by the knowledge representation module; all the knowledge of all the technical fields is uniformly packaged by the knowledge packaging module based on the knowledge ontology according to uniform packaging specifications to obtain base elements of knowledge and knowledge components, and the base elements of knowledge and the knowledge components are sent to a knowledge file generation module; the base elements of knowledge and the knowledge components are used for generating knowledge files capable of being recognized by a multi-mode inference engine according to the owl specifications by the knowledge file generation module.

The invention belongs to the field of power plant operation data processing, and particularly relates to a thermal power plant multi-source data fusion method and device based on a knowledge graph. The invention is used for solving the difficult problems that an existing data fusion technology is difficult to effectively integrate distributed industry knowledge systems of different sources when facing the whole industry application field, and a knowledge base is difficult to update. The invention provides a method and a system for constructing a knowledge graph in the thermal power field. Meanwhile, acquisition and fusion of multi-source data are realized based on the constructed knowledge graph.

The invention discloses a knowledge point quantitative-analysis method and device. The method includes: constructing a knowledge point lineage graph, and establishing correspondence relationships of all knowledge points and all test questions, wherein the knowledge point lineage graph includes a knowledge point meta-database and a test question database; positioning a to-be-checked knowledge pointin the knowledge point meta-database, and acquiring at least one detection test question, which corresponds to the to-be-checked knowledge point, in the test question database according to the corresponding relationships; receiving an answering answer input by an examinee, acquiring a test question answer of the detection test question in the test question database, and carrying out analysis andcomparison on the test question answer and the answering answer to obtain question answering result information of the examinee for the to-be-checked knowledge point; and determining mastery result information of the examinee on the to-be-checked knowledge point according to all the question answering result information of the examinee. According to the knowledge point quantitative-analysis methodand device provided by the invention, the knowledge point can be quickly accurately and quantitatively analyzed, the mastery result information of the examinee on the knowledge point can be accurately determined, then examinee learning efficiency can be improved, and complete construction of a knowledge system of a learner is effectively helped.

The embodiment of the invention provides a knowledge base generation method and device and a text search method and device. The knowledge base generation method comprises the steps of obtaining dialogue voice generated by dialogue between a target user and other users; extracting target voice of the target user from the dialogue voice, and converting the target voice into a target text; generatinga standard question and a standard answer corresponding to the standard question based on the target text of the target user; and generating a knowledge base by adopting the standard questions and the standard answers corresponding to the standard questions. Therefore, the target text containing the personal knowledge system and the personal cognition of the target user can be obtained, and the knowledge base capable of reflecting the knowledge system and the personal cognition of the target user can be obtained. And other users can obtain answers obtained based on the knowledge system of thetarget user and personal cognition through the knowledge base. And the target user can trace back the knowledge system of the target user through the knowledge base.

The present disclosure relates to a multidimensional knowledge system stereoscopic display method and apparatus. The method comprises: acquiring each knowledge point in a to-be-displayed knowledge system; determining the node corresponding to each knowledge point in a multidimensional stereoscopic display model according to an association relationship between the knowledge points, wherein each knowledge point corresponds to one node, and nodes corresponding to two knowledge points with the association relationship are connected through a path; and using the path between the nodes in the multidimensional stereoscopic display model to display each knowledge point in the knowledge system. The technical scheme of the present disclosure has strong operability, the content of the learning resources can be fully displayed in the clear three-dimensional structure, the enthusiasm for learning and the interest of mining knowledge of the leaner can be fully mobilized, and the memory efficiency and the memory depth of the learner can be improved; and in the practical application of knowledge, the technical scheme has strong interaction with the learner, has strong operability, and has a stronger visual impact, so that user experience can be enhanced.