《Data Intelligence》

作品数:280被引量:252H指数:9
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《Data Intelligence》
主办单位:National Science Library, Chinese Academy of Sciences & China National Publications Import & Export (Group) Co., Ltd
最新期次:2025年1期更多>>
发文主题:FAIRDATAMETADATAKNOWLEDGEGRAPH更多>>
发文领域:自动化与计算机技术医药卫生文化科学政治法律更多>>
发文基金:国家自然科学基金北京市自然科学基金湖北省自然科学基金俄罗斯基础研究基金更多>>
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Designing and Evaluating an Ensemble Reasoning-based Clinical Decision Support System
《Data Intelligence》2025年第1期1-39,共39页Sabbir M.Rashid Deborah L.McGuinness 
A clinical decision support system(CDSS)can help physicians make clinical decisions,such as differential diagnosis,therapy planning,or plan critiquing.To make such informed decisions,a physician may need to keep track...
关键词:Semantic web Ensemble reasoning ABDUCTION Multimodal reasoning Clinical decision support system Knowledge graph Personal health knowledge graph 
Exploring the Variations Among ARIMA Models for Time Series Forecasting of Data Breaches
《Data Intelligence》2025年第1期40-69,共30页Shagupta M.Mulla V.R.Ghorpade Javed J.Mulani T.M.Mulla 
Data breaches are widely reported in the media, attracting the attention of dedicated scientists and professionals working on solutions. Commercial organizations, businesses, and government agencies that acquire, hand...
关键词:Cybersecurity data analytics Time series forecasting Prediction ARIMA Data breaches 
An Effective Machine Learning Approach with Hyperparameter Tuning for Sentiment Analysis
《Data Intelligence》2025年第1期70-94,共25页Saima Kanwal Ali Raza Chunyan Bai Dawei Zhang Jing Wen Dileep Kumar 
supported by the National Key R&D Program of China(2018YFA0701800);the National Natural Science Foundation of China(NSFC,project no.62175153).
Sentiment analysis depends on individuals’comments and opinions on events.Data from social media platforms like Twitter,Quora,or Facebook poses challenges due to informal language,including acronyms,misspellings,and ...
关键词:Hybrid lexicon Logistic regression(LR) Machine learning Natural language processing(NLP) 
Evaluating the Accuracy of the Labeling System in Web of Science for the Sustainable Development Goals
《Data Intelligence》2025年第1期95-123,共29页Yu Zhao Li Li Zhesi Shen 
Monitoring and fostering research aligned with the Sustainable Development Goals (SDGs) is crucial for formulating evidence-based policies, identifying best practices, and promoting global collaboration. Developing a ...
关键词:Sustainable development goals(SDGs) Web of science Citation topics Relatedness ACCURACY 
A General Scalable Approach for Knowledge Selection based on Iterative Hybrid Encoding and Re-ranking
《Data Intelligence》2025年第1期124-142,共19页Zhisheng Huang Xudong Jia Tao Chen Zhongwei Zhang 
supported by the Wuyi University-Hong Kong-Macao Joint Funding Scheme(No.2022WGALH17);the Research Platform and Project of Universities of Education Department of Guangdong Province,China 2023(No.2023ZDZX1030).
Knowledge selection is a challenging task that often deals with semantic drift issues when knowledge is retrieved based on semantic similarity between a fact and a question. In addition, weak correlations embedded in ...
关键词:Knowledge selection Textual inference Semantic drift Coarse-to-Fine 
Bridging the Domain Gap in Grounded Situation Recognition via Unifying Event Extraction across Modalities
《Data Intelligence》2025年第1期143-162,共20页Qingwen Liu Zejun Li Zhihao Fan Cunxiang Yin Yancheng He Jing Cai Jinhua Fu Zhongyu Wei 
supported by National Natural Science Foundation of China(No.62176058);National Key RD Program of China(2023YFF1204800).
Event extraction extracts event frames from text, while grounded situation recognition detects events in images. As real-world applications frequently encounter a multitude of unforeseen events, certain researchers ha...
关键词:Event argument extraction Cross-domain generalization Unified cross-modal framework Modalityshared prompt Grounded situation recognition 
Integration, Cataloguing and Management of Biobanking and Clinical Data Using FAIR Genomes Metadata Schema
《Data Intelligence》2025年第1期163-184,共22页Radoslava Kacová TomášHoufek Ondřej Horký Jan Kuráň Radovan Tomášik Michal Růžička Roman Hrstka Vít Nováček Zdenka Dudová 
funding from the project SALVAGE(P JAC;reg.no.CZ.02.01.01/00/22_008/0004644)-funded by the European Union and by the State Budget of the Czech Republic,from MH CZ-DRO(MMCI,00209805);BBMRI.cz(no.LM2023033);Computational resources were provided by the e-INFRA CZ project(no.LM2023054).
In the dynamic environment of hospitals, valuable real-world data often remain underutilised despite their potential to revolutionize cancer research and personalised medicine. This study explores the challenges and o...
关键词:FAIR data point FAIR principles METADATA Interoperability Secondary use of healthcare data Hospital-generated data Genomic data Data sharing 
Identifying and Prioritizing Spatial Data Required for Effective Agriculture Policymaking: A Comprehensive Analysis Using Analytical Hierarchy Process
《Data Intelligence》2025年第1期185-220,共36页Asmat Ali Munir Ahmad Muhammad Nawaz Farha Sattar 
This paper aims to identify and prioritize spatial data required for effective agriculture policymaking.The data are identified with the help of a literature review and organized under five dimensions to ease the proc...
关键词:Spatial Data AGRICULTURE POLICYMAKING Analytical Hierarchy Process 
Construction of Mongolian Near-synonymous Compound Qualitative Adjective Sets
《Data Intelligence》2025年第1期221-236,共16页Meirong Bao Qinggeletu De 
supported by the Doctoral Discipline Innovation Project of the Inner Mongolia Autonomous Region(No.B20231051Z).
The purpose of this paper is to construct a dataset of Mongolian near-synonymous compound qualitative adjectives to improve semantic analysis and develop semantic networks in the Mongolian language. By analyzing the c...
关键词:Qualitative compound adjectives Mongolian near-synonymous compound adjectives Semantic analysis Word embedding Pre-trained language models 
About the Journal
《Data Intelligence》2024年第4期1223-1223,共1页
Data Intelligence(DI)is dedicated to promoting the widespread dissemination and in-depth exchange of the latest research findings and technological advancements in data science,artificial intelligence,and their cross-...
关键词:data int data science cross disciplinary applications industrial community technological advancements artificial intelligence data resourcesthereby academic community 
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