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Int. J. Inf. Manag. Data Insights最新文献

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Efficient Semantic Summary Graphs for Querying Large Knowledge Graphs 用于查询大型知识图的高效语义摘要图
Int. J. Inf. Manag. Data Insights Pub Date : 2022-05-27 DOI: 10.48550/arXiv.2205.13883
E. Niazmand, Gezim Sejdiu, D. Graux, Maria-Esther Vidal
{"title":"Efficient Semantic Summary Graphs for Querying Large Knowledge Graphs","authors":"E. Niazmand, Gezim Sejdiu, D. Graux, Maria-Esther Vidal","doi":"10.48550/arXiv.2205.13883","DOIUrl":"https://doi.org/10.48550/arXiv.2205.13883","url":null,"abstract":"Knowledge Graphs (KGs) integrate heterogeneous data, but one challenge is the development of efficient tools for allowing end users to extract useful insights from these sources of knowledge. In such a context, reducing the size of a Resource Description Framework (RDF) graph while preserving all information can speed up query engines by limiting data shuffle, especially in a distributed setting. This paper presents two algorithms for RDF graph summarization: Grouping Based Summarization (GBS) and Query Based Summarization (QBS). The latter is an optimized and lossless approach for the former method. We empirically study the effectiveness of the proposed lossless RDF graph summarization to retrieve complete data, by rewriting an RDF Query Language called SPARQL query with fewer triple patterns using a semantic similarity. We conduct our experimental study in instances of four datasets with different sizes. Compared with the state-of-the-art query engine Sparklify executed over the original RDF graphs as a baseline, QBS query execution time is reduced by up to 80% and the summarized RDF graph is decreased by up to 99%.","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132360112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Deep Learning in Business Analytics: A Clash of Expectations and Reality 商业分析中的深度学习:期望与现实的冲突
Int. J. Inf. Manag. Data Insights Pub Date : 2022-05-19 DOI: 10.48550/arXiv.2205.09337
Marc Schmitt
{"title":"Deep Learning in Business Analytics: A Clash of Expectations and Reality","authors":"Marc Schmitt","doi":"10.48550/arXiv.2205.09337","DOIUrl":"https://doi.org/10.48550/arXiv.2205.09337","url":null,"abstract":"Our fast-paced digital economy shaped by global competition requires increased data-driven decision-making based on artificial intelligence (AI) and machine learning (ML). The benefits of deep learning (DL) are manifold, but it comes with limitations that have - so far - interfered with widespread industry adoption. This paper explains why DL - despite its popularity - has difficulties speeding up its adoption within business analytics. It is shown - by a mixture of content analysis and empirical study - that the adoption of deep learning is not only affected by computational complexity, lacking big data architecture, lack of transparency (black-box), and skill shortage, but also by the fact that DL does not outperform traditional ML models in the case of structured datasets with fixed-length feature vectors. Deep learning should be regarded as a powerful addition to the existing body of ML models instead of a one size fits all solution.","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122779387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
RaDE+: A semantic rank-based graph embedding algorithm RaDE+:一个基于语义秩的图嵌入算法
Int. J. Inf. Manag. Data Insights Pub Date : 2022-04-01 DOI: 10.1016/j.jjimei.2022.100078
Filipe Alves de Fernando, D. C. G. Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, I. R. Guilherme
{"title":"RaDE+: A semantic rank-based graph embedding algorithm","authors":"Filipe Alves de Fernando, D. C. G. Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, I. R. Guilherme","doi":"10.1016/j.jjimei.2022.100078","DOIUrl":"https://doi.org/10.1016/j.jjimei.2022.100078","url":null,"abstract":"","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127639139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A novel approach for dimension reduction using word embedding: An enhanced text classification approach 一种基于词嵌入的降维新方法:一种增强的文本分类方法
Int. J. Inf. Manag. Data Insights Pub Date : 2022-04-01 DOI: 10.1016/j.jjimei.2022.100061
Ksh. Nareshkumar Singh, S. Devi, H. Devi, A. Mahanta
{"title":"A novel approach for dimension reduction using word embedding: An enhanced text classification approach","authors":"Ksh. Nareshkumar Singh, S. Devi, H. Devi, A. Mahanta","doi":"10.1016/j.jjimei.2022.100061","DOIUrl":"https://doi.org/10.1016/j.jjimei.2022.100061","url":null,"abstract":"","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126922951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 36
LCCI: A framework for least cybersecurity controls to be implemented for small and medium enterprises (SMEs) LCCI:为中小型企业实施最少网络安全控制的框架
Int. J. Inf. Manag. Data Insights Pub Date : 2022-04-01 DOI: 10.1016/j.jjimei.2022.100080
Shekhar Pawar, H. Palivela
{"title":"LCCI: A framework for least cybersecurity controls to be implemented for small and medium enterprises (SMEs)","authors":"Shekhar Pawar, H. Palivela","doi":"10.1016/j.jjimei.2022.100080","DOIUrl":"https://doi.org/10.1016/j.jjimei.2022.100080","url":null,"abstract":"","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125571744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
The impact of Instagram on young Adult's social comparison, colourism and mental health: Indian perspective Instagram对年轻人社会比较、肤色歧视和心理健康的影响:印度视角
Int. J. Inf. Manag. Data Insights Pub Date : 2022-04-01 DOI: 10.1016/j.jjimei.2022.100057
Aparna Sharma, Kavish Sanghvi, Prathamesh P. Churi
{"title":"The impact of Instagram on young Adult's social comparison, colourism and mental health: Indian perspective","authors":"Aparna Sharma, Kavish Sanghvi, Prathamesh P. Churi","doi":"10.1016/j.jjimei.2022.100057","DOIUrl":"https://doi.org/10.1016/j.jjimei.2022.100057","url":null,"abstract":"","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125992866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Entity sentiment analysis in the news: A case study based on Negative Sentiment Smoothing Model (NSSM) 新闻中的实体情绪分析:基于负向情绪平滑模型的案例研究
Int. J. Inf. Manag. Data Insights Pub Date : 2022-04-01 DOI: 10.1016/j.jjimei.2022.100060
Manman Luo, Xiangming Mu
{"title":"Entity sentiment analysis in the news: A case study based on Negative Sentiment Smoothing Model (NSSM)","authors":"Manman Luo, Xiangming Mu","doi":"10.1016/j.jjimei.2022.100060","DOIUrl":"https://doi.org/10.1016/j.jjimei.2022.100060","url":null,"abstract":"","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125671953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Understanding the drivers of online trust and intention to buy on a website: An emerging market perspective 了解在线信任和在网站上购买意愿的驱动因素:一个新兴市场的视角
Int. J. Inf. Manag. Data Insights Pub Date : 2022-04-01 DOI: 10.1016/j.jjimei.2022.100065
Yassine Jadil, N. Rana, Yogesh K. Dwivedi
{"title":"Understanding the drivers of online trust and intention to buy on a website: An emerging market perspective","authors":"Yassine Jadil, N. Rana, Yogesh K. Dwivedi","doi":"10.1016/j.jjimei.2022.100065","DOIUrl":"https://doi.org/10.1016/j.jjimei.2022.100065","url":null,"abstract":"","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117807289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 42
Time-series forecasting of seasonal items sales using machine learning - A comparative analysis 使用机器学习的季节性商品销售时间序列预测-比较分析
Int. J. Inf. Manag. Data Insights Pub Date : 2022-04-01 DOI: 10.1016/j.jjimei.2022.100058
Yasaman Ensafi, S. H. Amin, Guoqing Zhang, Bharat Shah
{"title":"Time-series forecasting of seasonal items sales using machine learning - A comparative analysis","authors":"Yasaman Ensafi, S. H. Amin, Guoqing Zhang, Bharat Shah","doi":"10.1016/j.jjimei.2022.100058","DOIUrl":"https://doi.org/10.1016/j.jjimei.2022.100058","url":null,"abstract":"","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127693905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 67
Modeling the use of voice based assistant devices (VBADs): A machine learning base an exploratory study using cluster analysis and correspondence analysis 基于语音的辅助设备(VBADs)的使用建模:基于机器学习的探索性研究，使用聚类分析和对应分析
Int. J. Inf. Manag. Data Insights Pub Date : 2022-04-01 DOI: 10.1016/j.jjimei.2022.100069
Suzanee Malhotra, K. Chaudhary, Mansaf Alam
{"title":"Modeling the use of voice based assistant devices (VBADs): A machine learning base an exploratory study using cluster analysis and correspondence analysis","authors":"Suzanee Malhotra, K. Chaudhary, Mansaf Alam","doi":"10.1016/j.jjimei.2022.100069","DOIUrl":"https://doi.org/10.1016/j.jjimei.2022.100069","url":null,"abstract":"","PeriodicalId":360348,"journal":{"name":"Int. J. Inf. Manag. Data Insights","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126785748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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