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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Finding Relatedness: pathways for detecting textual relatedness in the medieval scholastic corpus by Jeffrey C. Witt

“…In each case, special attention is given to how the availability of a domain specific knowledge graph helps us both properly prepare the corpus for analysis and visualize the results in ways that enhance research. …”
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Ontological analysis in the problems of container applications threat modelling by A. I. Brazhuk, E. V. Olizarovich

“…A machine-readable set (dataset) of 200 data flow diagrams is developed; each diagram is obtained from the configuration of a real container application and is presented as an ontology and a knowledge graph. An ontological two-level domain-specific threat model of container applications is formed. …”
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Conceptualising Information Production in the Context of the SDHSS Ontology Ecosystem by Francesco Beretta

“…In this paper, we challenge the vision of creating a giant knowledge graph of reusable research data from multiple projects and platforms, based on Semantic Web technologies and a shared conceptualisation in the form of a commonly used ontology ecosystem, promoted by the Semantic Data for Humanities and Social Sciences project (SDHSS). …”
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Sports Big Data: Management, Analysis, Applications, and Challenges by Zhongbo Bai, Xiaomei Bai

“…Finally, we investigate representative research issues in sports big data areas, including predicting the athletes’ performance in the knowledge graph, finding a rising star of sports, unified sports big data platform, open sports big data, and privacy protections. …”
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Survey on terminology extraction from texts by Kang Xu, Yifan Feng, Qiandi Li, Zhenjiang Dong, Jianxiang Wei

“…Abstract Automatic extraction of domain-related terminology from natural language texts is an important research topic with many practical application scenarios, such as text summarization, knowledge graph construction. It has a great impact on improving the quality of topic construction and the accuracy of semantic retrieval. …”
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Spatiotemporal data modeling and prediction algorithms in intelligent management systems by Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng

“…In order to solve the problem of difficulty in learning semantic pattern representations between user dynamic interest sequences using path based and knowledge graph based entity embedding methods, the author proposes research on spatiotemporal data modeling and prediction algorithms in intelligent management systems. …”
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A Novel Chinese Entity Relationship Extraction Method Based on the Bidirectional Maximum Entropy Markov Model by Chengyao Lv, Deng Pan, Yaxiong Li, Jianxin Li, Zong Wang

“…To identify relationships among entities in natural language texts, extraction of entity relationships technically provides a fundamental support for knowledge graph, intelligent information retrieval, and semantic analysis, promotes the construction of knowledge bases, and improves efficiency of searching and semantic analysis. …”
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DarkOnto: An Ontology Construction Approach for Dark Web Community Discussions Through Topic Modeling and Ontology Learning by Randa Basheer, Bassel Alkhatib

“…We start from the conceptual design of the ontology and employ several stages of text processing and analysis to achieve the desired knowledge graph, DarkOnto. These stages include data cleaning and preprocessing, topic modeling using correlated topic model (CTM), class-topic similarity estimation, ontology construction, ontology population, and ontology evaluation, where the proposed approach achieved high results. …”
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Natural Language Processing (NLP): Identifying Linguistic Gender Bias in Electronic Medical Records (EMRs) by Site Xu MPH, Mu Sun MD

“…Sentiment classification and knowledge graph with ICD-11 were used to determine the prevalence of these features in the medical records, and logistic regression was applied to test gender differences. …”
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Multigraph-based Deep Programming Ability Tracing Method for Students by Yue Wang, Guanwen Zhang

“…Specifically, MDPAT devises the multigraph programming modelling via conducting the program knowledge graph and the program iteration graph to generate the submission representations of programming exercises, which effectively captures static structure information and dynamic structure information within the programming process. …”
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The Barcelona Historical Marriage Database and the Baix Llobregat Demographic Database. From Algorithms for Handwriting Recognition to Individual-Level Demographic and Socioeconomi... by Joana Maria Pujadas-Mora, Alícia Fornés, Oriol Ramos Terrades, Josep Lladós, Jialuo Chen, Miquel Valls-Fígols, Anna Cabré

“…However, its current state still requires some human intervention which explains the implemented crowdsourcing and game sourcing experiences. Moreover, knowledge graph techniques have allowed the application of advanced record linkage to link the same individuals and families across time and space. …”
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Chinese Mathematical Knowledge Entity Recognition Based on Linguistically Motivated Bidirectional Encoder Representation from Transformers by Wei Song, He Zheng, Shuaiqi Ma, Mingze Zhang, Wei Guo, Keqing Ning

“…We assessed whether constructing a mathematical knowledge graph for a knowledge question-answering system or a course recommendation system, Named Entity Recognition (NER), is indispensable. …”
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Semi-automated data provenance tracking for transparent data production and linkage to enhance auditing and quality assurance in Trusted Research Environments by Katherine O'Sullivan, Milan Markovic, Jaroslaw Dymiter, Bernhard Scheliga, Chinasa Odo, Katie Wilde

“…Results The resulting Provenance Explorer for Trusted Research Environments (PE-TRE) interactive tool displays the data linkage information extracted from a knowledge graph described using the derived SHP ontology and results of rule-based validation checks. …”
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KE-RSIC: Remote Sensing Image Captioning Based on Knowledge Embedding by Kangda Cheng, Erik Cambria, Jinlong Liu, Yushi Chen, Zhilu Wu

“…To acquire general knowledge, we construct a remote sensing knowledge graph and propose a general knowledge embedding method, enabling semantic correlations between entities and relationships in remote sensing knowledge graphs. …”
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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…Specifically, we first develop a knowledge graph of seismic facies based on geological concepts and seismic reflection configurations. …”
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Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering by Zhongjian Hu, Peng Yang, Fengyuan Liu, Yuan Meng, Xingyu Liu

“…Although methods that utilize knowledge graphs to enhance LLM have been explored in various tasks, they may have some limitations, such as the possibility of not being able to retrieve the required knowledge. …”
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Discovering emergent connections in quantum physics research via dynamic word embeddings by Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg

“…Current state-of-the-art approaches represent concepts using knowledge graphs and frame the task as a link prediction problem, where connections between concepts are explicitly modeled. …”
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An Event Causality Identification Framework Using Ensemble Learning by Xiaoyang Wang, Wenjie Luo, Xiudan Yang

“…Event causality identification is an upstream operation for many tasks, including knowledge graphs and intelligent question-and-answer systems. …”
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