Journal of Information Science最新文献_第4页

Exploring the visual distinguishability and topic autocorrelation of murals unearthed in China from the spatial perspective 从空间角度探讨中国出土壁画的视觉可分辨性和主题自相关性

4区管理学

Journal of Information Science Pub Date : 2023-10-24 DOI: 10.1177/01655515231202761

Shouqiang Sun, Ziming Zeng, Qingqing Li

{"title":"Exploring the visual distinguishability and topic autocorrelation of murals unearthed in China from the spatial perspective","authors":"Shouqiang Sun, Ziming Zeng, Qingqing Li","doi":"10.1177/01655515231202761","DOIUrl":"https://doi.org/10.1177/01655515231202761","url":null,"abstract":"Murals unearthed in China have outstanding regional characteristics and one of the largest period spans in scale and variety. To explore the visual distinguishability and topic autocorrelation of murals unearthed in China from the spatial perspective, multiple classification models are employed to classify murals unearthed in China through visual features. Then, the k-means is employed to mine topics, and they are analysed through topic intensities (TIs), Moran’s Index (MI) and spatial topic concentration degrees (STCDs). In addition, the characteristics of topic distribution and evolution are summarised and revealed in the spatial dimension. From a spatial perspective, it verifies the distinguishability of visual features of murals through ViT_BOW_GNB, and the precision of this model is 98.17%. Thirteen topics are clustered through k-means, and the distribution of mural topics is spatial autocorrelation according to MI. Besides, the topic evolves from the political centre to the surrounding area, and the topics with high intensities are highly concentrated in spatial. This study reveals the spatial characteristics of the mural at the level of visual features and semantics, which facilitates the digital management, conservation and knowledge discovery of cultural heritage resources.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"31 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135267897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A polyphony of characteristics: An analysis of the categorisation of music’s subgenres 特征复调:音乐子类型分类分析

4区管理学

Journal of Information Science Pub Date : 2023-10-24 DOI: 10.1177/01655515231203511

Philip Hider, Deborah Lee

引用次数: 0

A social diagnosis mechanism for healthcare knowledge sharing 医疗保健知识共享的社会诊断机制

4区管理学

Journal of Information Science Pub Date : 2023-10-19 DOI: 10.1177/01655515231199929

Lien-Fa Lin, Yung-Ming Li, Yen-Chen Lin

引用次数: 0

A fieldwork manual as a regulatory device: Instructing, prescribing and describing documentation work 作为监管工具的野外工作手册:指导、规定和描述文件工作

4区管理学

Journal of Information Science Pub Date : 2023-10-19 DOI: 10.1177/01655515231203506

Isto Huvila, Olle Sköld

引用次数: 0

CHV.br: Exploratory study for the development of a consumer health vocabulary (CHV) supported by a network model for Brazilian Portuguese language CHV。基于网络模型的巴西葡萄牙语消费者健康词汇开发的探索性研究

4区管理学

Journal of Information Science Pub Date : 2023-09-30 DOI: 10.1177/01655515231196391

Josceli M Tenorio, Fabrício Landi de Moraes, Ivan Torres Pisa

{"title":"CHV.br: Exploratory study for the development of a consumer health vocabulary (CHV) supported by a network model for Brazilian Portuguese language","authors":"Josceli M Tenorio, Fabrício Landi de Moraes, Ivan Torres Pisa","doi":"10.1177/01655515231196391","DOIUrl":"https://doi.org/10.1177/01655515231196391","url":null,"abstract":"Successful consumer health vocabulary (CHV) models have been engineered and updated by using automatic term extraction techniques from online content. However, the relationship between terms has yet to be mapped. This study aims to describe a CHV model for the Brazilian Portuguese language that is supported by a complex network. The method was split up into three distinct stages: (1) collect and automatically extract terms from structured data sources on the web, such as Unified Medical Language System (UMLS) vocabularies and DBpedia; (2) construct a complex network; and (3) select the terms supported by clustering techniques. A model called CHV.br was developed and supported by a complex network structure which makes connections between the controlled vocabulary and consumer vocabulary and maps semantic relationships as categories, synonyms and related terms. CHV.br contains 146,956 terms, of which 31,439 are UMLS preferred terms and 83,279 are synonyms. The CHV.br is available and powered by Simple Knowledge Organization System and Resource Description Framework standards. The method used in this study showed to be valid for the selection of the candidate terms by connecting the terms from different reliable resources, in addition to expanding the number of terms and their semantic relationships. The content and structure of CHV.br could play a vital role in enhancing the development of consumer-oriented health applications.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136336485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A model of planned and unplanned information-seeking behaviour 计划和非计划的信息寻求行为模型

4区管理学

Journal of Information Science Pub Date : 2023-09-11 DOI: 10.1177/01655515231196390

Hadi Harati, Alireza Isfandyari-Moghaddam

引用次数: 0

Aspect term extraction via adaptive fusion of sequential and hierarchical representation 基于序列和层次表示自适应融合的方面项提取

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2023-09-08 DOI: 10.1177/01655515231193851

Lili Shang, Meiyun Zuo

{"title":"Aspect term extraction via adaptive fusion of sequential and hierarchical representation","authors":"Lili Shang, Meiyun Zuo","doi":"10.1177/01655515231193851","DOIUrl":"https://doi.org/10.1177/01655515231193851","url":null,"abstract":"In aspect-based sentiment analysis, a fundamental task is extracting aspect terms from opinionated sentences. Aspect term extraction (ATE) has been found to play a critical role among several scenarios, such as service quality improvement and recommendation systems. While deep learning-based methods have achieved great progress in ATE, they mainly consider sequential semantic information and generally ignore the utilisation of syntactic relations of the whole sentence on overall meanings. Furthermore, performances of these methods may also be diminished by poor handling of relation and text noises. To address these issues, we propose a fused sequential and hierarchical representation (FSHR) model, wherein both sequential and hierarchical representations are generated, which facilitates not only the capture of linear semantic information for predicting meaning-related aspect terms but also the utilisation of syntactic relations over the entire sentence to better identify structure-related aspect terms. Moreover, to refine the aspect representation, we incorporate relation-gate mechanism which selectively activates meaningful syntactic dependency paths and design the multi-way aspect attention which prompts the model to focus on relevant text segments about particular aspects. Eventually, sequential and hierarchical representations are adaptively fused for aspect prediction. Experiment results on four datasets demonstrate that FSHR outperforms competitive baselines, and further extensive analyses reveal the effectiveness of our model.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47860769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strategies for information source selection: A focus group study on young people in Europe 信息源选择策略:欧洲年轻人焦点小组研究

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2023-09-08 DOI: 10.1177/01655515231193847

Muhaimin Karim, Gunilla Widén

引用次数: 0

Competitive intelligence empirical validation and application: Foundations for knowledge advancement and relevance to practice 竞争情报的实证验证与应用:知识进步的基础及其与实践的相关性

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2023-09-06 DOI: 10.1177/01655515231191221

Luís Madureira, Aleš Popovič, Mauro Castelli

{"title":"Competitive intelligence empirical validation and application: Foundations for knowledge advancement and relevance to practice","authors":"Luís Madureira, Aleš Popovič, Mauro Castelli","doi":"10.1177/01655515231191221","DOIUrl":"https://doi.org/10.1177/01655515231191221","url":null,"abstract":"The competitive intelligence (CI) construct must be scientifically defined, characterised, empirically validated and accurately measured to grow in science and business. This study aims at elevating the accuracy of the empirical validation of the CI construct suggested and confirmed by Madureira, Popovic and Castelli to serve as the scientific foundation for CI praxis. This construct is selected due to its unmatched recency, thoroughness, universality identified limitations of its empirical validation. We relied on a multistrand design of fully sequential with equivalent status qualitative and quantitative mix-methods followed by the triangulation of the findings and the development of the meta-inferences. Validity, reliability and applicability were tested using computer-aided text analysis and artificial intelligence methods based on 61 in-depth interviews with CI subject matter experts. Contributions to knowledge advancement and relevance to practice derive from the scientific-grade empirical construct validation, providing undisputed levels of accuracy, consistency, applicability, and triangulation of results. This study highlights three critical implications. First, the delimitation of the body of knowledge and recognition of the CI domain serve as the baseline for theory development. Second, the validated construct guarantees reproducibility, replicability and generalisability, laying the foundations for establishing CI science, practice and education. Third, creating a common language and shared understanding will drive the much-claimed definitional consensus. This study thus stands as a foundational pillar in supporting CI praxis in improving decision-making quality and the performance of organisations.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43429490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying scientists’ research ability by taking institutions’ scientific impact as priori information 以机构的科学影响为先验信息量化科学家的研究能力

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2023-08-23 DOI: 10.1177/01655515231191231

Shengzhi Huang, Wei Lu, Yong Huang, Zhuoran Luo

{"title":"Quantifying scientists’ research ability by taking institutions’ scientific impact as priori information","authors":"Shengzhi Huang, Wei Lu, Yong Huang, Zhuoran Luo","doi":"10.1177/01655515231191231","DOIUrl":"https://doi.org/10.1177/01655515231191231","url":null,"abstract":"Scholar performance evaluation is extremely important in research assessment decisions, such as funding allocation, academic rankings, and academic promotion. In this article, we propose the institution Q model (IQ) and its two variants (IQ-2 and IQ-3), which aim to evaluate the individual-level research ability to publish high-quality scientific papers. Specifically, our models integrate scientists’ institutions, countries and collaborators as valuable prior information and jointly evaluate the research ability of scientists from different institutions. To estimate model parameters and hidden variables defined in our models, we propose a generic BBVI-EM algorithm. To test the effectiveness of our models, we examine their performance on the synthetic data and the empirical data (17,750/26,992 scientists in the computer science/physics field). We find that our models can more accurately quantify the research ability of scientists and institutions and more effectively predict scientists’ scientific impact (the h-index and total citations) than the Q model and common machine learning models. In conclusion, our models are effective evaluation and prediction tools for quantifying research ability and predicting the scientific impact, and the BBVI-EM algorithm is an effective variational inference algorithm. This study makes a theoretical contribution to broaden the idea of incorporating the academic environment into scientific evaluation.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"61 24","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41312015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0