32 results about "Semantic framework" patented technology

The invention discloses a method for forwarding data of a hierarchal wireless sensor network based on semantic routing, wherein the hierarchal wireless sensor network is a semantic network. The method comprises the steps of (1) a cluster member node collecting data in the data collection period; (2) the member node processing the collected data, comparing the collected data with a preset threshold, uploading the collected data to a cluster head node if the collected data is larger than the threshold, otherwise, discarding the data and waiting for the next data collection period to collect data; (3) the member node determining the semantic type according to the collected data, constructing related semantic frame of the data, and directly forwarding the constructed data packet to the cluster head node; (4) the cluster head node extracting data according to the data packet uploaded by the cluster member node in one data collection period to fuse the data, determining whether an event occurs according to the data fusion result, and determining whether or not to upload and forward the data packet of the related event; and (5) the cluster head node determining the semantic type, constructing an event semantic frame, writing semantic elements contained in the occurred event of the cluster into the event semantic frame, and the cluster head node carrying out data packet construction according to the generated event semantic frame, and directly injecting the constructed data packet to the network through the routing table.

The invention discloses a structured memory graph network model for multiple rounds of spoken language understanding, which is composed of an input coding layer, a memory coding layer, a feature aggregation layer and an output classification layer, dialogue behaviors generated by spoken language understanding tasks are used to replace texts as memory nodes for coding, and the dialogue behaviors are formatted representations containing semantic framework information. And the unstructured characters are converted into a structured triple. A graph attention network is used for replacing a recurrent neural network and an attention mechanism to achieve feature aggregation, sequence information between the attention mechanism and dialogue nodes is reserved, and model learning how to effectivelyutilize structured memory nodes is facilitated. According to the network model, the encoding dialogue behavior replaces a historical dialogue text to serve as a memory unit, original information of asemantic framework is reserved to the maximum extent, and the problems that in the prior art, noise is generated in complex occasions due to the fact that text information depends on a model, and operation efficiency is low are solved.

The invention discloses a man-machine conversation method and system based on a semantic framework. The method comprises a step of creating a subject forest structure tree according to an original corpus and generating a semantic frame model by using the subject forest structure tree, and mapping an entity attribute of the subject forest tree to a corresponding semantic slot in the semantic framemodel, a step of matching a subject type for a visitor question in man-machine conversation and filling the semantic slot in the semantic frame model corresponding to the subject type with the visitorquestion, a step of mapping the visitor question of the filled semantic slot in the semantic frame model to the entity attribute of the subject forest structure tree, and a step of allowing the subject forest structure tree to carry out question matching in a knowledge base according to the visitor question, and feeding an answer corresponding to the matched question back to a visitor. Thus, an accurate and complete visitor question can be obtained, on the above basis, the accuracy of the answer is ensured and the communication efficiency is improved, the system can actively interact with thevisitor, and the user experience is improved.

The invention provides a knowledge verification method and system based on an information system. The method comprises the steps that relations between knowledge view element model concepts are determined by building a knowledge view element model and determining a semantic frame and concepts of the knowledge view element model, an extended knowledge view model is obtained, and then a knowledge representation system is built according to the extended knowledge view model; whether all relation nodes x in the knowledge representation system has legal relations or not is judged, and then the integrity and correctness of the knowledge representation system is verified. The purposes that one information system can represent existing knowledge in a standard, complete and logical mode, verify the integrity and correctness of the knowledge representation system, and increase the knowledge reuse rate are achieved.

The invention relates to the technical field of blockchain finance, in particular to an efficient digital asset transaction method based on an account model. Aiming at an existing AFCoin technology framework, a blockchain forest and endorsement node selection method is introduced, a receipt processing process is integrated, complete implementation steps of the framework are given, and the framework is applied to the field of digital asset transaction, so an efficient digital asset transaction method based on an account model is obtained. Under a semantic framework of AFCoin, the blockchain forest is a plurality of blockchain structures maintained by a central bank, and different commercial banks have different blockchains, but are published by the central bank in a unified manner; the endorsement node selection method ensures that a commercial bank cannot select a specific commercial bank responsible for endorsement, and prevents cheating between commercial banks. When a central bank is used as an issuer of digital assets, a commercial bank is used as a seller of the digital assets, and a user is used as a holder of the digital assets, an efficient digital asset transaction methodcan be obtained.