Knowledge Graph Model of Power Grid for Human-machine Mutual Understanding

2020 ◽  
Author(s):  
Tao Yin ◽  
Na Lu
Keyword(s):  
Power Grid ◽  
Graph Model ◽  
Knowledge Graph ◽  
Mutual Understanding

scholarly journals Data Preprocessing and Quality Evaluation for Building the Power Grid Supervision Knowledge Graph

2021 ◽  
Vol 2005 (1) ◽  
pp. 012007
Author(s):  
Xinjie Zhang ◽  
Jian Wang ◽  
Lingxu Guo ◽  
Xin Wang ◽  
Yao Wang ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Power Grid ◽  
Data Preprocessing ◽  
Knowledge Graph

scholarly journals Research on Medical Knowledge Graph for Stroke

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Binjie Cheng ◽  
Jin Zhang ◽  
Hong Liu ◽  
Meiling Cai ◽  
Ying Wang
Keyword(s):  
Medical Knowledge ◽  
Similarity Measures ◽  
Graph Model ◽  
Knowledge Graph ◽  
Medical Field ◽  
Graph Models ◽  
Experimental Part ◽  
External Data ◽  
Embedded Model ◽  
Knowledge Graphs

Knowledge graph can effectively analyze and construct the essential characteristics of data. At present, scholars have proposed many knowledge graph models from different perspectives, especially in the medical field, but there are still relatively few studies on stroke diseases using medical knowledge graphs. Therefore, this paper will build a medical knowledge graph model for stroke. Firstly, a stroke disease dictionary and an ontology database are built through the international standard medical term sets and semiautomatic extraction-based crowdsourcing website data. Secondly, the external data are linked to the nodes of the existing knowledge graph via the entity similarity measures and the knowledge representation is performed by the knowledge graph embedded model. Thirdly, the structure of the established knowledge graph is modified continuously through iterative updating. Finally, in the experimental part, the proposed stroke medical knowledge graph is applied to the real stroke data and the performance of the proposed knowledge graph approach on the series of Trans ∗ models is compared.

A Construction Method for the Knowledge Graph of Power Grid Supervision Business

2021 ◽  
Author(s):  
Zhang Xinjie ◽  
Guo Lingxu ◽  
Wang Jian ◽  
Li Xu ◽  
Zhang Yuze ◽  
...  
Keyword(s):  
Power Grid ◽  
Construction Method ◽  
Knowledge Graph

Graph and Neural Network-Based Intelligent Conversation System

2019 ◽  
pp. 339-357 ◽  
Author(s):  
Anuja Arora ◽  
Aman Srivastava ◽  
Shivam Bansal
Keyword(s):  
Deep Learning ◽  
Natural Language ◽  
System Approach ◽  
Domain Knowledge ◽  
Research Work ◽  
Graph Model ◽  
Machine Intelligence ◽  
Knowledge Graph ◽  
Feature Engineering ◽  
Graph Based Model

The conventional approach to build a chatbot system uses the sequence of complex algorithms and productivity of these systems depends on order and coherence of algorithms. This research work introduces and showcases a deep learning-based conversation system approach. The proposed approach is an intelligent conversation model approach which conceptually uses graph model and neural conversational model. The proposed deep learning-based conversation system uses neural conversational model over knowledge graph model in a hybrid manner. Graph-based model answers questions written in natural language using its intent in the knowledge graph and neural conversational model converses answer based on conversation content and conversation sequence order. NLP is used in graph model and neural conversational model uses natural language understanding and machine intelligence. The neural conversational model uses seq2seq framework as it requires less feature engineering and lacks domain knowledge. The results achieved through the authors' approach are competitive with solely used graph model results.

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