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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Collaborative arts therapies as a supportive intervention for autism spectrum disorders: Bibliometric analysis, insights, and directions by Aijia Zhang, Xuexing Luo, Fangtian Ying, Jue Wang, Guanghui Huang

“…CiteSpace was used to build a knowledge graph to achieve visual analysis of current research countries, institutions, journals, authors, and hot topics. …”
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Predicting phage-host interaction via hyperbolic Poincaré graph embedding and large-scale protein language technique by Jie Pan, Rui Wang, Wenjing Liu, Li Wang, Zhuhong You, Yuechao Li, Zhemeng Duan, Qinghua Huang, Jie Feng, Yanmei Sun, Shiwei Wang

“…In this study, we present GE-PHI, a machine-learning-based model for predicting phage-host interactions (PHIs) by integrating knowledge graph embedding algorithm with a large-scale protein language model. …”
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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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Bibliometric analysis of laryngeal cancer treatment literature (2003–2023) by Yan Zhao, Jiancheng Xue

“…Bibliometric and knowledge graph analysis are utilized to assess contributions in treating this carcinoma and to forecast emerging research hotspots that may enhance future clinical outcomes. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…This method can effectively identify APT attack entities, automatically extract advanced persistent threat knowledge under the condition of few-sample annotation, and generate structured feature portraits of common APT organizations, which will provide support for subsequent APT attack knowledge graph construction and attack traceability analysis.…”
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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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Données ouvertes liées et recherche historique : un changement de paradigme by Francesco Beretta

“…In the context of the digital transition, the semantic Web and linked open data (LOD) play an increasingly central role as they allow the construction of knowledge graphs linking together the resources of the Web. …”
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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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Research and application analysis of artificial intelligence-based customer service platform technologies for telecom operators by Xiaoliang MA, Ying LIU, Dequan DU, Guoxin ZHANG

“…The evolution of customer service platforms was reviewed systematically, covering the first generation of interactive voice response (IVR) customer service, the second generation of multimedia online customer service, and the third generation of artificial intelligence (AI) customer service.The functional characteristics of each generation of customer service platforms were elaborated in depth.Additionally, the functional construction of customer service systems in various industries was introduced in detail, such as manufacturing, finance, transportation, and telecommunications.Based on this, the application components of AI customer service platforms for operators were further depicted, including intelligent dispatching, voice transcription, knowledge recommendation, intelligent quality inspection, and intelligent liability determination.Currently, the adoption of AI customer service platforms by operators has become a development trend.Looking forward, customer service platforms will integrate various intelligent technologies such as large-scale models, natural language processing (NLP), and knowledge graphs to meet customer service demands.…”
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Explainable AI chatbots towards XAI ChatGPT: A review by Attila Kovari

“…While integrating such interdisciplinary methods, such as hybrid methods combining knowledge graphs with ChatGPT, enhancing explainability, they also highlight industry needs for explainability and user-centred design. …”
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Visual Analysis of Coordinated Evaluation of Water Resources Utilization and Economic Development in China by WU Dan, XIANG Xiaoqian

“…Given the literature on the coordinated evaluation of water resources utilization and economic development in China from 1994 to 2020 in the core database of CNKI,the paper uses the visualization tool CiteSpace 5.7.R2 and the scientometrics method to analyze literature characteristics,as well as research focuses and their evolution,and delves into the evolution of the research on this field.The research reveals that according to the distribution of publication time and journals,the number of articles in this field shows an S-shaped curve,going through the starting,growing,and developing stages,and the research focuses are closely combined with national policy on water conservancy.In terms of the distribution of cooperation between universities and research institutions and the characteristics of cooperation among scholars,the phenomenon of extensive dispersion with localized concentrations is presented.The knowledge graphs of keyword networks demonstrate that the terms including “water resources”,“coordinated development”,“water resources carrying capacity”,“social economy”,“index system”,“industrial structure”,and “spatiotemporal coupling” have become popular in this field in the past decade.According to the strategy map of keywords,research themes represented by keywords such as “water footprint”,“urbanization”,“water and soil resources”,and “water environment carrying capacity” are developed into emerging research focuses.The time zone maps of keywords indicate that the application of the water-driven effect and its decoupling evaluation have become a new field of academic research.…”
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Research Progress and Frontal Analysis of Sponge Cities in China During the “13th Five-Year Plan” by CHEN Yuping, WANG Yue, LIU Chuang, XIA Chunhui

“…In order to deeply explore the research progress of sponge cities in China during the “13th Five-Year Plan” period,and to predict the development direction of the research in the “14th Five-Year Plan”,taking a total of 1 157 documents from CNKI in 2016—2020 as data base,this article sets the node types in the CiteSpace to authors,institutions,and keywords in turn,and prepares various visual knowledge graphs about sponge city research and analysis,as well as summarizes and analyzes the research on sponge cities in terms of research status,focus,and development trends.The results show that:①During the “13th Five-Year Plan” period,research on sponge cities showed a steady upward trend.②There were more and more cooperation among authors with a high volume of articles,but the cooperation is still limited to the same institution or the same region.③The research institutions mainly include universities,urban or municipal planning and design enterprises,and scientific research institutes,which are mainly located in Beijing and the eastern coastal areas of China.Although the communication between institutions are less,there is also a trend of cross-regional cooperation in the later period.④The research hotspots of sponge cities are closely related to the national policies and the construction needs of sponge cities.⑤How to improve the drainage and waterlogging prevention capacity of urban facilities,and to slow down and eliminate the waterlogging in cities are still the key topics of future research.How to build sponge cities according to local conditions and promote the mutual adaptation of cities and the environment can also be one of the research focuses in the future.…”
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PURE: a Prompt-based framework with dynamic Update mechanism for educational Relation Extraction by Xiaohui Cui, Yu Yang, Dongmei Li, Jinman Cui, Xiaolong Qu, Chao Song, Haoran Liu, Siyuan Ke

“…Recent advances have explored various relation extraction techniques to construct educational knowledge graphs that integrate dispersed subject knowledge into a unified framework. …”
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Multimodal heterogeneous graph fusion for automated obstructive sleep apnea-hypopnea syndrome diagnosis by Haoyu Wang, Xihe Qiu, Bin Li, Xiaoyu Tan, Jingjing Huang

“…This framework constructs two types of graph representations: physical space graphs, which map the spatial layout of sensors on the human body, and process knowledge graphs which detail the physiological relationships among breathing patterns, oxygen saturation, and vital signals. …”
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Semantic aware enhanced event causality identification by Xinfang Liu, Wenzhong Yang, Fuyuan Wei, Zhonghua Wu

“…Existing research primarily focuses on leveraging external knowledge such as knowledge graphs and dependency trees to construct explicit structured features to enrich event representations. …”
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LINKS. A System for Historical Family Reconstruction in the Netherlands by Kees Mandemakers, Gerrit Bloothooft, Fons Laan, Joe Raad, Rick J. Mourits, Richard L. Zijdeman

“…We will discuss two matching systems, the first is the original querying system that runs within a MySQL database environment and the second is a newly developed system, called burgerLinker, which is based on knowledge graphs and which is designed as a system that can be used independently from LINKS and is made available as open source software. …”
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Digital-based emergency prevention and control system: enhancing infection control in psychiatric hospitals by Mi Yang, Xiaojun Zhu, Fei Yan, Xincheng Huang, Zhixue Wu, Xin Jiang, Yan Huang, Zezhi Li

“…Methods The system incorporates modern technologies such as cloud computing, big data, streaming media, and knowledge graphs. A cloud service platform was established at the PaaS layer using Docker container technology to manage infectious disease emergency-related services. …”
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Ontologies in modelling and analysing of big genetic data by N. L. Podkolodnyy, O. A. Podkolodnaya, V. A. Ivanisenko, M. A. Marchenko

“…The article briefly presents the features of the subject area (bioinformatics, systems biology, biomedicine), formal definitions of the concept of ontology and knowledge graphs, as well as examples of using ontologies for semantic integration of heterogeneous data and creating large knowledge bases, as well as interpreting the results of deep learning on big data. …”
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