摘要：【中文】本发明涉及一种服务依赖资源的调度方法及装置，该方法包括：获取预设项目的所有服务依赖；计算所述所有服务依赖的优先级，得到优先级从高到低的服务依赖序列；当检测到服务依赖的调度请求时，选择所述服务依赖序列中符合预设条件的服务依赖，作为所述预设项目的服务依赖。本发明提供的技术方案先将所有的服务依赖做一个优先级的划分，然后选择其中符合要求的服务依赖，当某个服务依赖出现故障时，可以调用比该服务依赖优先级低的服务依赖，保证项目的正常运行，提高服务的稳定性。 【EN】The invention relates to a scheduling method and a device of service dependent resources, wherein the method comprises the following steps: acquiring all service dependencies of a preset project; calculating the priority of all the service dependencies to obtain a service dependency sequence with the priority from high to low; and when a scheduling request of the service dependence is detected, selecting the service dependence meeting the preset condition in the service dependence sequence as the service dependence of the preset item. The technical scheme provided by the invention firstly divides all the service dependencies into a priority level, then selects the service dependencies meeting the requirements, and can call the service dependencies with the priority level lower than the service dependency priority level when a certain service dependency fails, thereby ensuring the normal operation of the project and improving the stability of the service.

摘要：【中文】本申请涉及通信技术领域，尤其涉及一种基于知识图谱的学习方法、装置、电子设备和存储介质。学习方法包括：获取终端上传的用户特征；根据用户特征确定用户身份并匹配该用户所对应的知识图谱；根据知识图谱各节点的权重值向终端发送各节点对应的学习信息；获取终端上传的基于学习信息的反馈信息；根据反馈信息与学习信息对应的目标反馈信息进行匹配，根据匹配结果调整学习信息对应的知识图谱节点的权重值。基于知识图谱的学习方法及装置通过与用户之间的互动，在知识图谱对应的节点中动态设置权重值，这样就不断更新并完善了对应用户的知识图谱，通过权重值的大小来推理用户在这些节点的权重情况，并通过权重值来强化用户在权重值不足的节点。 【EN】The present application relates to the field of communications technologies, and in particular, to a learning method and apparatus based on a knowledge graph, an electronic device, and a storage medium. The learning method comprises the following steps: acquiring user characteristics uploaded by a terminal; determining the identity of a user according to the characteristics of the user and matching a knowledge graph corresponding to the user; the learning information corresponding to each node is sent to the terminal according to the weight value of each node of the knowledge graph; acquiring feedback information based on learning information uploaded by a terminal; and matching the feedback information with target feedback information corresponding to the learning information, and adjusting the weight value of the knowledge graph node corresponding to the learning information according to the matching result. The learning method and the learning device based on the knowledge graph dynamically set the weight values in the nodes corresponding to the knowledge graph through interaction with users, so that the knowledge graph corresponding to the users is continuously updated and perfected, the weight conditions of the users at the nodes are inferred through the weight values, and the nodes with insufficient weight values of the users are strengthened through the weight values.

摘要：【中文】本申请涉及一种知识图谱的构建方法、装置、终端及存储介质，所述方法包括：客户端确定待构建的知识图谱；客户端接收输入的与所述知识图谱相匹配的实体关系，并将所述实体关系发送至服务端，其中，所述实体关系包括实体以及实体属性；服务端接收所述实体关系，并基于所述实体关系构建所述知识图谱。由此简化了知识图谱的构建流程，在构建知识图谱的过程中无须重复执行相同的操作，提高了知识图谱的构建效率，以及提升了用户体验。 【EN】The application relates to a method, a device, a terminal and a storage medium for constructing a knowledge graph, wherein the method comprises the following steps: the client determines a knowledge graph to be constructed; the client receives an input entity relationship matched with the knowledge graph and sends the entity relationship to the server, wherein the entity relationship comprises an entity and an entity attribute; and the server receives the entity relationship and constructs the knowledge graph based on the entity relationship. Therefore, the construction process of the knowledge graph is simplified, the same operation does not need to be repeatedly executed in the process of constructing the knowledge graph, the construction efficiency of the knowledge graph is improved, and the user experience is improved.

摘要：【中文】本发明涉及分类技术领域，具体而言，涉及一种提示系统、提示方法、计算机及废物容纳装置，其中，所述提示方法包括：获取用户提问内容中关键词信息；确定所述关键词信息对应图谱网格的目标节点；判断所述目标节点是否存在子节点组；若无所述子节点组，则以所述目标节点的顶端父节点作为答复信息；若存在所述子节点组，则以所述子节点组中子节点所对应的顶端父节点作为答复信息，其能够根据知识图谱，利用图谱网格的节点信息，进行关联推理，解决垃圾语音答复模糊化问题，提高分类信息提示的准确度。 【EN】The invention relates to the technical field of classification, in particular to a prompting system, a prompting method, a computer and a waste accommodating device, wherein the prompting method comprises the following steps: acquiring keyword information in user questioning content; determining a target node of a map grid corresponding to the keyword information; judging whether the target node has a child node group or not; if the child node group does not exist, the top parent node of the target node is used as reply information; if the child node group exists, the top parent node corresponding to the child node in the child node group is used as the reply information, and the association reasoning can be carried out by utilizing the node information of the map grid according to the knowledge map, so that the problem of garbage voice reply fuzzification is solved, and the accuracy of classification information prompt is improved.

摘要：【中文】本申请涉及一种知识图谱的构建方法、装置、终端及存储介质，所述方法包括：获取文本数据；根据预设的筛选规则对所述文本数据进行筛选，生成目标数据；确定所述目标数据之间的双向指向关系；基于所述目标数据以及所述目标数据之间的双向指向关系，构建知识图谱，其中，所述知识图谱节点之间的链路为双向链路。如此知识图谱节点之间的链路为双向链路，可以加快用户查询知识图谱中数据的速度，提高查询效率，提高了用户体验。 【EN】The application relates to a method, a device, a terminal and a storage medium for constructing a knowledge graph, wherein the method comprises the following steps: acquiring text data; screening the text data according to a preset screening rule to generate target data; determining a bidirectional pointing relationship between the target data; and constructing a knowledge graph based on the target data and the bidirectional pointing relation between the target data, wherein the links between the nodes of the knowledge graph are bidirectional links. Therefore, the link between the nodes of the knowledge graph is a bidirectional link, so that the speed of inquiring data in the knowledge graph by a user can be increased, the inquiring efficiency is improved, and the user experience is improved.

摘要：【中文】本发明公开了一种通过电化学醛的还原胺化反应构建仲胺类化合物的方法，包括以下步骤：以醛类化合物和的胺类化合物为原料，在电解体系中，通过电化学阴极还原反应，制备得到一系列含仲胺骨架的化合物。与已经报道的方法相比，本发明不使用金属催化剂和外部氧化剂；本发明所使用的反应原料和电解质价格低廉、无毒无味、后处理简便，因此适用工业化生产；本发明反应条件温和、操作简单且收率高，是一种高效实用的仲胺类化合物的合成方法。 【EN】The invention discloses a method for constructing secondary amine compounds through reductive amination reaction of electrochemical aldehyde, which comprises the following steps: a series of compounds containing secondary amine frameworks are prepared by taking aldehyde compounds and amine compounds as raw materials and carrying out electrochemical cathode reduction reaction in an electrolytic system. Compared with the reported method, the invention does not use metal catalyst and external oxidant; the reaction raw materials and the electrolyte used in the invention have low price, no toxicity and no odor, and simple and convenient post-treatment, thereby being applicable to industrial production; the method has the advantages of mild reaction conditions, simple operation and high yield, and is a high-efficiency and practical synthesis method of the secondary amine compound.

摘要：【中文】本申请涉及一种用户意图识别方法、装置、终端及存储介质，所述方法包括：确定当前轮次的人机对话任务；利用预设的神经网络分类模型对所述人机对话任务进行分类；确定与分类结果相匹配的第一预设知识图谱，并从所述第一预设知识图谱中查询所述人机对话任务所需的关键信息；从第二预设知识图谱中获取与所述关键信息对应的隐藏信息；基于所述人机对话任务以及所述隐藏信息进行用户意图识别。 【EN】The application relates to a user intention identification method, a device, a terminal and a storage medium, wherein the method comprises the following steps: determining the man-machine conversation task of the current turn; classifying the human-computer conversation task by utilizing a preset neural network classification model; determining a first preset knowledge graph matched with the classification result, and inquiring key information required by the man-machine conversation task from the first preset knowledge graph; acquiring hidden information corresponding to the key information from a second preset knowledge graph; and performing user intention identification based on the man-machine conversation task and the hidden information.

摘要：【中文】本发明涉及一种基于知识图谱的控制方法、系统、电子设备和存储介质，所述控制方法包括下述步骤：获取控制文本；根据所述控制文本生成与之对应的控制词组；根据知识图谱的对应关系生成与控制词组对应的控制指令。通过获取到的控制文本生成一个与之对应的控制词组，该控制词组中包括若干个词，这些词中任何一个存在于知识图谱中，即可生成知识图谱中与该词对应的控制指令，这样就使一个控制指令对应多个触发信息，而且触发信息的量特别巨大，形成了控制文本与控制指令的模糊对应关系，避免了用户牢记触发信息的情况，降低了用户使用过程中的劳动量和难度，提高了用户使用的轻松程度和愉悦程度，提高了用户体验和交互效率，该方法的适用范围。 【EN】The invention relates to a control method, a system, an electronic device and a storage medium based on a knowledge graph, wherein the control method comprises the following steps: acquiring a control text; generating a control phrase corresponding to the control text according to the control text; and generating a control instruction corresponding to the control phrase according to the corresponding relation of the knowledge graph. The control word group corresponding to the control text is generated through the acquired control text, the control word group comprises a plurality of words, any one of the words exists in the knowledge map, and a control instruction corresponding to the word in the knowledge map can be generated, so that one control instruction corresponds to a plurality of trigger information, the amount of the trigger information is extremely large, a fuzzy corresponding relation between the control text and the control instruction is formed, the condition that a user keeps the trigger information in mind is avoided, the labor amount and the difficulty of the user in the using process are reduced, the ease degree and the pleasure degree of the user are improved, the user experience and the interaction efficiency are improved, and the application range of the method is widened.

摘要：【中文】本申请涉及一种数据调度方法、装置、终端及存储介质，所述方法包括：监测预设的可用数据对应的知识图谱中数据是否存在异常；若监测到预设的可用数据对应的知识图谱中数据存在异常，则确定异常数据、所述异常数据对应的资源属性信息以及所述异常数据隶属的资源，其中，所述资源属性信息隶属于所述资源；确定包含所述资源属性信息的目标资源，其中，所述目标资源未包括所述异常数据隶属的资源；调用所述目标资源中所包含的所述资源属性信息对应的目标数据。 【EN】The application relates to a data scheduling method, a data scheduling device, a terminal and a storage medium, wherein the method comprises the following steps: monitoring whether data in a knowledge graph spectrum corresponding to preset available data is abnormal or not; if the data in a knowledge graph spectrum corresponding to preset available data is monitored to be abnormal, determining abnormal data, resource attribute information corresponding to the abnormal data and a resource to which the abnormal data belongs, wherein the resource attribute information belongs to the resource; determining a target resource containing the resource attribute information, wherein the target resource does not comprise a resource to which the abnormal data belongs; and calling target data corresponding to the resource attribute information contained in the target resource.

摘要：【中文】本发明涉及智能家居领域，具体而言，涉及一种智能家居控制方法及控制系统，其中控制方法包括：获取用户睡眠时的体征数据；根据所述体征数据判断用户的性格特征；接收用户发出的控制指令；确定与所述控制指令相对应的运行模式；执行所述运行模式下与用户性格特征相应的内容，本方案根据用户睡眠时的体征数据判断用户性格特征，可对不同性格特征的人进行个性化运行，在白天用户对智能家居主动控制时，确定所述控制指令对应的运行模式，并向家用设备发送执行指令，使家用设备运行与用户性格特征相应的内容，达到用户预想的效果，提高舒适感。 【EN】The invention relates to the field of intelligent home furnishing, in particular to an intelligent home furnishing control method and a control system, wherein the control method comprises the following steps: acquiring physical sign data of a user during sleeping; judging the character characteristics of the user according to the physical sign data; receiving a control instruction sent by a user; determining an operation mode corresponding to the control instruction; according to the scheme, the personality characteristics of the user are judged according to the physical sign data of the user during sleep, people with different personality characteristics can be operated in a personalized mode, the operation mode corresponding to the control instruction is determined when the user actively controls the smart home in the daytime, the execution instruction is sent to the household equipment, the household equipment operates the content corresponding to the personality characteristics of the user, the expected effect of the user is achieved, and the comfort is improved.