Risk assessment of autonomous vehicle based on six-dimensional semantic space by Yanan CHEN, Ang LI, Dan WU

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Visualization analysis of knowledge graph of domestic self-regulated learning researches based on CiteSpace (基于CiteSpace的国内自我调节学习研究知识图谱可视化分析) by CHEN Qiannan (陈倩楠), QIAN Zhigang (钱志刚), WANG Beibei (王贝贝), JIN Guifang (金桂芳), ZHANG Xueru (张雪茹)

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Data-driven analysis of chemicals, proteins and pathways associated with peanut allergy: from molecular networking to biological interpretation by Emmanuel Kemmler, Julian Braun, Florent Fauchère, Sabine Dölle-Bierke, Kirsten Beyer, Robert Preissner, Margitta Worm, Priyanka Banerjee

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Global research trends in zero-waste cities: a comprehensive bibliometric analysis by Han Wang, Bin Zhao, Shaban G. Gouda

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Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation by Zheng Yao, Jingyuan Li, Jianhe Cen, Shiqi Sun, Dahu Yin, Yuanzhuo Wang

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MDCKE: Multimodal deep-context knowledge extractor that integrates contextual information by Hyojin Ko, Joon Yoo, Ok-Ran Jeong

Subjects: “…Multimodal knowledge graph…”
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New era towards autonomous additive manufacturing: a review of recent trends and future perspectives by Haolin Fan, Chenshu Liu, Shijie Bian, Changyu Ma, Junlin Huang, Xuan Liu, Marshall Doyle, Thomas Lu, Edward Chow, Lianyi Chen, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li

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Research Status and Prospect of Quality Intelligent Control Technology in Facilities Environment of Characteristic Agricultural Products by GUO Wei, WU Huarui, GUO Wang, GU Jingqiu, ZHU Huaji

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Improvement of reading platforms assisted by the spring framework: A recommendation technique integrating the KGMRA algorithm and BERT model by Yawen Su

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Overcoming System Complexity using Models and Knowledge Structures. Editorial Introduction to Issue 36 of CSIMQ by Erika Nazaruka, Tarmo Robal

Subjects: “…knowledge graph…”
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Editorial Introduction to Issue 39: Managing Complexity and Knowledge in Enterprise Projects by Ana-Maria Ghiran, Robert Andrei Buchmann

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Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era by Weiwei Guo

“…To get the best sequence label and get the last labeled entity information, in terms of knowledge graph construction and visual query, a workflow method for building knowledge graph from unstructured text is proposed and a flask-based knowledge graph visual query system is designed, which applies the best model of the above two tasks. …”
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Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system. by Yuan Wang, Shaolin Hu

“…This method starts from petrochemical big data and consists of three parts: fault dynamic knowledge graph construction, instrument data sliding fault-tolerant filtering, and the fusion and reasoning of fault dynamic knowledge graph and instrument data variation monitoring. …”
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Econometric Analysis of the Hot Research of Marxist Theoretical Journals Based on Knowledge Map by Lan Wang, Kai Wang

“…In this paper, by constructing a self-expanding Chinese word separation and self-expanding address data knowledge graph, matching Marxist Chinese addresses based on the full-text indexing knowledge graph, incorporating a weighted pinyin full-text search mechanism to improve the matching accuracy of misspelled addresses, constructing a multiple matching mechanism for Marxist addresses by combining an online geographic parsing interface, and performing semisupervised matching for a small number of difficult addresses, a complete system of Marxist address matching methods is formed. …”
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A security detection approach based on autonomy-oriented user sensor in social recommendation network by Shanshan Wan, Ying Liu

“…Specifically, (1) the user is simulated as a social sensor with autonomous capabilities, (2) the user interaction model is built based on information propagation, information feedback and information disappearance mechanisms of social sensors, and a user dynamic knowledge graph is formed by considering the variable time function, (3) hierarchical clustering method is used to generate preliminary suspicious candidate groups and graph community detection clustering method is applied on the dynamic knowledge graph to detect the attackers. …”
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Graph-based service recommendation in Social Internet of Things by Yuanyi Chen, Yanyun Tao, Zengwei Zheng, Dan Chen

“…Then, we model users, objects, and their relationships with a knowledge graph and regard Social Internet of Things service recommendation as a knowledge graph completion problem, where the “like” property that connects users to services needs to be predicted. …”
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Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction by Chao Li, Frank Petzold

“…Additionally, a prototypical documentation tool is developed to elevate recorded information and BIM models as a knowledge graph. This knowledge graph will interface with advanced large language models (LLMs), enabling effective question answering and knowledge retrieval.…”
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Dual intent view contrastive learning for knowledge aware recommender systems by Jianhua Guo, Zhixiang Yin, Shuyang Feng, Donglin Yao, Shaopeng Liu

“…Abstract Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for enhancing recommendation performance. …”
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Fusion Features-Based Entity Recognition Method for Safety Knowledge of Non-Coal Open-Pit Mine by Ziji Ma, Rui Zhao, Jianhua Huang, Shicheng Liu, Feilong Wang, Zhikang Shuai

“…Knowledge graph technology that provides important information and data support for improving the level of safety production, brings together related laws, regulations and construction methods of non-coal open-pit mining production. …”
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Multisource Accident Datasets-Driven Deep Learning-Based Traffic Accident Portrait for Accident Reasoning by Chun-Hao Wang, Yue-Tian-Si Ji, Li Ruan, Joshua Luhwago, Yin-Xuan Saw, Sokhey Kim, Tao Ruan, Li-Min Xiao, Rui-Jue Zhou

“…Moreover, to solve the problem of how to construct hidden relationship among the multisource accident data, a multisource accident data visualization method based on traffic accident knowledge graph where the accident relational inference algorithm is to complete the hidden relationship between traffic accident data labels is used and then data are visualized using the traffic accident knowledge graph. …”
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