43 results about "Knowledge generation" patented technology

The invention discloses a method for automatically acquiring multi-source heterogeneous data knowledge, and aims to provide a method which has better integrity, universality and convenience and is beneficial to knowledge transmission. The method of the invention is realized through the following technical scheme: the method comprises the following steps: 1, processing; a concept-entity-attribute-relation-label is defined from top to bottom or from bottom to top, a knowledge model of an entity object is obtained, then data is obtained through direct data storage and crawler software, OCR and other recognition software, knowledge data is obtained, and conversion from a heterogeneous data source to a heterogeneous knowledge source is completed; obtaining entity-attribute-relationship triad instantiation under a known knowledge mode through a structured knowledge generation method; and updating knowledge and knowledge models by using a long-short-term memory network model (LSTM model) anda publisher-accomplisher cooperation mode to obtain a workflow for expanding and supplementing new knowledge, and obtaining a data flow accommodating concept, entity, relationship and attribute valueinstantiation triples by using the knowledge model formed by knowledge modeling.

In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.

A method for knowledge generation from raw medical records uses XML-based specifications. The method includes content extraction, data aggregation and data enrichment. The method operates on various sources of medical data including financial data, clinical documents and medical images.

An expert system based system for customizing a song for a system user. The system includes a song acquisition module having access to the internet, a knowledge acquisition control consol, the knowledge acquisition control consol operatively connected to the song acquisition module, a characteristics extraction module the characteristics extraction module operatively connected to the song acquisition module, knowledge generation module, the knowledge generation module configured to communicate with the knowledge acquisition control consol, a knowledge base module, the knowledge base module configured to work with the inference engine module and communicate with the knowledge acquisition control consol the inference engine module configured to use the knowledge base for reasoning and communicate with the song synthesizer; and an a graphics user interface to interface with system users and a song synthesizer for generating a song according to the requirements of a system user.

The invention provides a knowledge management system seamlessly combined with office software. The knowledge management system comprises a knowledge document library module, a knowledge portal module, a workflow module, a knowledge searching module and a system management module. The collaboration among the modules realizes the seamless combination of the office software and the knowledge management system, improves the customer use experience, and helps an enterprise to establish a good knowledge generation and application environment.

The invention relates to a system and a method for generating custom songs. An expert system based system for customizing a song for a system user. The system includes a song acquisition module having access to the internet, a knowledge acquisition control consol, the knowledge acquisition control consol operatively connected to the song acquisition module, a characteristics extraction module the characteristics extraction module operatively connected to the song acquisition module, knowledge generation module, the knowledge generation module configured to communicate with the knowledge acquisition control consol, a knowledge base module, the knowledge base module configured to work with the inference engine module and communicate with the knowledge acquisition control consol the inference engine module configured to use the knowledge base for reasoning and communicate with the song synthesizer; and an a graphics user interface to interface with system users and a song synthesizer for generating a song according to the requirements of a system user.

The invention is applicable to the technical field of satellite measurement, operation and control, and provides a visual satellite fault diagnosis knowledge generation method, device and system, and the method comprises the steps: monitoring the graphical interface input of a user for a satellite fault diagnosis system; responding to the graphical interface input, and extracting corresponding graphical features; and indexing in a pre-constructed knowledge model according to the graphic features, and generating a knowledge expression corresponding to the graphic features. The generation of the satellite fault diagnosis knowledge can be realized through the visual graphical interface input, and the visual generation of the satellite fault diagnosis knowledge can be efficiently realized without knowing a programming language by a user, so that the generation threshold of the satellite fault diagnosis knowledge is greatly reduced, and the generation efficiency of the satellite fault diagnosis knowledge is improved.

The invention provides a digital knowledge discovery method. The knowledge comprising classifying words, identifying characters and meanings of characters, words and sentences can be obtained under the condition that the cost is not added almost in digitalizing process; and all names, place names, event names and the like in documents and all initial characters, phrases, sentences, book names andthe like can be discovered. The invention has the characteristics that the discovered knowledge points are determined before a document is processed by a meaning marking method, a character marking method and a character identification marking method provided by the invention by digital processing units; and after the processing is finished, knowledge in specified format is generated by a knowledge generation module at first, and then the classification knowledge in documents are discovered by a knowledge generation acquisition module.

The invention relates to the technical field of big data and artificial intelligence, in particular to a knowledge graph construction method based on a library, a fragmented knowledge generation method and electronic equipment. The construction method comprises the steps of obtaining digital literature resources; extracting metadata from the digital literature resources, and generating a metadatamap according to the metadata; obtaining object data according to the metadata, and generating an object data graph according to the object data; fusing the metadata graph and the object data graph togenerate a knowledge graph; and finally, generating fragmented knowledge of each knowledge point of the knowledge graph according to the digital literature resources and the knowledge graph, retrieving related knowledge points of the knowledge graph according to keywords input by a user, and outputting the fragmented knowledge. According to the invention, a complete knowledge system can be established, fragmented knowledge output and output knowledge traceability are realized based on the knowledge system, different requirements of users can be met, and the service efficiency of a library isimproved.

The invention provides a knowledge generation method and device based on artificial intelligence, electronic equipment, a computer readable storage medium and a computer program product. The artificial intelligence technology is involved; the method comprises the following steps: based on a first entity in a first knowledge graph, performing entity chain finger processing on a second knowledge graph to obtain a second entity associated with the first entity in the second knowledge graph; performing fusion processing on the first knowledge graph and the second knowledge graph to obtain a third knowledge graph comprising the first entity and the second entity; based on the first entity and the second entity, screening a plurality of first candidate entities included in the third knowledge graph to obtain a plurality of similar entities corresponding to the first entity and the second entity; and based on the statement relationship of the plurality of similar entities in the third knowledge graph, performing negative relationship-based prediction processing on the first entity to obtain negative statement knowledge of the first entity. According to the invention, the negative statement knowledge can be automatically and accurately generated.

Irregular links and relationships in a data set may relate to fraudulent actions or identify deception or risk assessment or knowledge generation but may be identified by simple superficially unlinked actions. Thus, for example a claimant may claim through an address using one telephone number but contact the insurer for that claim using a different telephone number. By pooling all the information received, including all telephone numbers, unusual or irregular or fraudulent leads can be identified by establishing telephone numbers or other gateway cluster nodes for each dataset such that supposedly unrelated claims can be matched and therefore be more closely scrutinized. The information processor arrangement may create a cascade of clusters for an as presented data set which can be configured through cluster nodes to allow better identification of suspect activity or for better analysis profiling.

The invention discloses a posture migration algorithm framework applicable to a multi-degree-of-freedom robot, and relates to the field of robots. According to the attitude migration algorithm framework, attitude or action generation tasks of a robot in different environments are regarded as a multi-objective optimization problem; a robot posture (or action) obtained in a simple environment is used as a source domain; an attitude (or action) applicable to an unknown complex environment is used as a target domain; a high-quality initial population is generated by utilizing knowledge of the source domain during searching of an optimal solution of the target domain; thus, a robot attitude (or action) applicable to a complex environment is quickly generated by utilizing any population-based multi-target optimization algorithm. According to the invention, knowledge reuse can be carried out by using different transfer learning algorithms; and for any population-based multi-objective optimization algorithm, the algorithm framework provided by the invention can be effectively combined with the population-based multi-objective optimization algorithm without modification.

The invention discloses an IaaS (Infrastructure as a Service) cloud platform network fault positioning method and system based on log analysis. The IaaS cloud platform network fault positioning system comprises a fault injection module, a log acquisition and analysis module, a knowledge generation module and a fault detection and positioning module. Firstly, by injecting various typical network faults, various corresponding fault logs are formed; then aiming at various faults, log information related to network faults of each layer of physical resources, an operation system, a virtual machine, an OpenStack and the like is respectively acquired, and fault feature mining is carried out on the acquired network fault log information by using an Apriori algorithm; on such basis, according to a maximal frequent item set and parameters, such as a supporting degree, a confidence degree and the like, association rules and knowledge, which correspond to the specific network faults, are generated by utilizing a bayes formula; and finally, when a system has a network fault again, the network fault can be compared with the association rules of a knowledge base and analyzed according to an acquired fault log, so that the layer on which the network fault occurs is positioned.

The invention relates to the technical field of emotion detection and emotion analysis, in particular to a word distributed representation learning system based on emotion knowledge enhancement, which comprises an emotion knowledge integration framework and a weak supervision knowledge generation framework, the emotional knowledge integration framework comprises a knowledge query module, a knowledge integration module and a word representation generation module; the weak supervision knowledge generation framework is used for generating a domain sentiment dictionary DSD, and the DSD integrates resources of three parts, namely, a non-label text of a target domain, a domain-independent sentiment dictionary and a label of the target domain text. According to the method, emotional knowledge integration can be well carried out.

The present invention is a method and a program as well as a system, for generating automatically an elementary design process knowledge, comprising of parent concept and children concept(s), for achieving intention or design which, and features to have a reference step and a selection step, where the reference step refers by verb part in the parent concept in order to gain unit information group, one of which consists of a skeleton for the child concept(s), where verb constitutes main part, with processing logic operating on the said skeleton, while the selection step selects one out of the unit information group gained by the reference step, where the selection is performed in logic extracting meaning of the parent concept by information such as input and output constituting the parent concept and preceding parent concept(s). Also, the present invention is a method, a program as well as a system for automatic creation of knowledge for achieving intention or design using pair of the parent concept and the children concept as elementary process knowledge, and features to have a first step forming the skeleton of data flow, a second step for completing the data flow and a third step to gain flowchart of structure chart from the data flow gained in the second step, where the skeleton is obtained, based on elementary data flow of the parent concept as input, by decomposing data in the parent concept hierarchically, and in the second step by inserting verb in function symbol in the skeleton, where the verb is inherited from the verb in the parent concept or the verb in the skeleton as decomposed from the said parent concept, and thus the knowledge is created.

The invention relates to an associated knowledge generation method, an auxiliary annotation system and application, and the method comprises the steps: for a standard question, generating N generated questions through an AMBERT model, and carrying out the screening and annotation, thereby completing the generation of associated knowledge of the current standard question; repeating until the associated knowledge of all the standard questions is generated; the AMBERT model sets a MASK token in the BERT as a mixed MASK token, and generation question prediction is carried out to obtain N generation questions; the method is applied to a rear-end generation unit of the associated knowledge auxiliary labeling system, associated knowledge generated by the rear-end generation unit is output through an output interface of a front-end operation unit, and labeling content is input from an input interface; the system is applied to the tax question-answering system. Easily understood corpora needed by the language model of the question and answer system are constructed, the difficulty of manual annotation work is solved, and the recommendation performance of the language model and the manual annotation efficiency are improved by screening out the data needing to be annotated of the model.

The invention discloses a new knowledge generation system, method and storage medium based on technical requirements, wherein the method includes obtaining the technical requirements input by the user on the technical requirements platform and the technical field to which the technical requirements belong; according to the technology The field calls the preset technical achievements in the field database corresponding to the technical field; according to the innovation method and the technical achievements in the same field as the technical requirements, generate the innovative achievements to solve the technical requirements, and transfer the innovation The results are output to the required users. The invention can generate innovative achievements that solve the technical demands put forward by demand users, reduces the innovation cost of technological innovation, and improves the innovation efficiency.