Data & Knowledge Engineering最新文献

Improving multi-view ensemble learning with Round-Robin feature set partitioning 利用循环特征集划分改进多视图集成学习

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-24 DOI: 10.1016/j.datak.2024.102380

Aditya Kumar , Jainath Yadav

{"title":"Improving multi-view ensemble learning with Round-Robin feature set partitioning","authors":"Aditya Kumar , Jainath Yadav","doi":"10.1016/j.datak.2024.102380","DOIUrl":"10.1016/j.datak.2024.102380","url":null,"abstract":"<div><div>Multi-view Ensemble Learning (MEL) techniques have shown remarkable success in improving the accuracy and resilience of classification algorithms by combining multiple base classifiers trained over different perspectives of a dataset, known as views. One crucial factor affecting ensemble performance is the selection of diverse and informative feature subsets. Feature Set Partitioning (FSP) methods address this challenge by creating distinct views of features for each base classifier. In this context, we propose the Round-Robin Feature Set Partitioning (<span><math><mi>RR</mi></math></span>-FSP) technique, which introduces a novel approach to feature allocation among views. This novel approach evenly distributes highly correlated features across views, thereby enhancing ensemble diversity, promoting balanced feature utilization, and encouraging the more equitable distribution of correlated features, <span><math><mi>RR</mi></math></span>-FSP contributes to the advancement of MEL techniques. Through experiments on various datasets, we demonstrate that <span><math><mi>RR</mi></math></span>-FSP offers improved classification accuracy and robustness, making it a valuable addition to the arsenal of FSP techniques for MEL.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"156 ","pages":"Article 102380"},"PeriodicalIF":2.7,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

White box specification of intervention policies for prescriptive process monitoring 规定性流程监控干预政策的白盒规范

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-23 DOI: 10.1016/j.datak.2024.102379

Mahmoud Shoush, Marlon Dumas

{"title":"White box specification of intervention policies for prescriptive process monitoring","authors":"Mahmoud Shoush, Marlon Dumas","doi":"10.1016/j.datak.2024.102379","DOIUrl":"10.1016/j.datak.2024.102379","url":null,"abstract":"<div><div>Prescriptive process monitoring methods seek to enhance business process performance by triggering real-time interventions, such as offering discounts to increase the likelihood of a positive outcome (e.g., a purchase). At the core of a prescriptive process monitoring method lies an intervention policy, which determines under which conditions and when to trigger an intervention. While state-of-the-art prescriptive process monitoring approaches rely on black-box intervention policies derived through reinforcement learning, algorithmic decision-making requirements sometimes dictate that the business stakeholders must be able to understand, justify, and adjust these intervention policies manually. To address this requirement, this article proposes <em>WB-PrPM</em> (White-Box Prescriptive Process Monitoring), a framework that enables stakeholders to define intervention policies in business processes. WB-PrPM is a rule-based system that helps decision-makers balance the demand for effective interventions with the imperatives of limited resource capacity. The framework incorporates an automated method for tuning the parameters of the intervention policies to optimize a total gain function. An evaluation is presented using real-life datasets to examine the tradeoffs among various parameters. The evaluation reveals that different variants of the proposed framework outperform existing baselines in terms of total gain, even when default parameter values are used. Additionally, the automated parameter optimization approach further enhances the total gain.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"155 ","pages":"Article 102379"},"PeriodicalIF":2.7,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A goal-oriented document-grounded dialogue based on evidence generation 基于证据生成的以目标为导向、以文件为基础的对话

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-22 DOI: 10.1016/j.datak.2024.102378

Yong Song , Hongjie Fan , Junfei Liu , Yunxin Liu , Xiaozhou Ye , Ye Ouyang

{"title":"A goal-oriented document-grounded dialogue based on evidence generation","authors":"Yong Song , Hongjie Fan , Junfei Liu , Yunxin Liu , Xiaozhou Ye , Ye Ouyang","doi":"10.1016/j.datak.2024.102378","DOIUrl":"10.1016/j.datak.2024.102378","url":null,"abstract":"<div><div>Goal-oriented Document-grounded Dialogue (DGD) is used for retrieving specific domain documents, assisting users in document content retrieval, question answering, and document management. Existing methods typically employ keyword extraction and vector space models to understand the content of documents, identify the intent of questions, and generate answers based on the capabilities of generation models. However, challenges remain in semantic understanding, long text processing, and context understanding. The emergence of Large Language Models (LLMs) has brought new capabilities in context learning and step-by-step reasoning. These models, combined with Retrieval Augmented Generation(RAG) methods, have made significant breakthroughs in text comprehension, intent detection, language organization, offering exciting prospects for DGD research. However, the “hallucination” issue arising from LLMs requires complementary methods to ensure the credibility of their outputs. In this paper we propose a goal-oriented document-grounded dialogue approach based on evidence generation using LLMs. It designs and implements methods for document content retrieval & reranking, fine-tuning and inference, and evidence generation. Through experiments, the method of combining LLMs with vector space model, or with key information matching technique is used as a comparison, the accuracy of the proposed method is improved by 21.91% and 12.81%, while the comprehensiveness is increased by 10.89% and 69.83%, coherence is enhanced by 38.98% and 53.27%, and completeness is boosted by 16.13% and 36.97%, respectively, on average. Additional, ablation analysis conducted reveals that the evidence generation method also contributes significantly to the comprehensiveness and completeness.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"155 ","pages":"Article 102378"},"PeriodicalIF":2.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-aware process models: From soundness checking to repair 数据感知流程模型：从健全性检查到修复

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-17 DOI: 10.1016/j.datak.2024.102377

Matteo Zavatteri, Davide Bresolin, Massimiliano de Leoni, Aurelo Makaj

引用次数: 0

Context normalization: A new approach for the stability and improvement of neural network performance 上下文正常化：稳定和提高神经网络性能的新方法

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-15 DOI: 10.1016/j.datak.2024.102371

Bilal Faye , Hanane Azzag , Mustapha Lebbah , Fangchen Feng

引用次数: 0

An assessment taxonomy for self-adaptation business process solutions 自适应业务流程解决方案的评估分类法

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-07 DOI: 10.1016/j.datak.2024.102374

Jamila Oukharijane , Mohamed Amine Chaâbane , Imen Ben Said , Eric Andonoff , Rafik Bouaziz

{"title":"An assessment taxonomy for self-adaptation business process solutions","authors":"Jamila Oukharijane , Mohamed Amine Chaâbane , Imen Ben Said , Eric Andonoff , Rafik Bouaziz","doi":"10.1016/j.datak.2024.102374","DOIUrl":"10.1016/j.datak.2024.102374","url":null,"abstract":"<div><div>Self-adaptation of business processes has become the focus of several research studies aiming at avoiding a manual adaptation of processes at run-time, which is error-prone and time-consuming. In fact, several contributions addressing the self-adaptation of processes have been proposed in the literature, but none of them has comprehensively studied and analyzed the literature to assess the current state of progress in the self-adaptation of processes. To address this gap, we propose in this paper a comprehensive taxonomy that identifies a set of characteristics to serve as support for the comparative analysis of solutions addressing self-adaptation of processes. Our taxonomy includes 25 characteristics that address relevant questions regarding self-adaptation of processes. While creating our taxonomy, we built on existing literature and involved academic experts from different universities. These experts did not only validate our taxonomy regarding completeness and understandability, but also rectified and enriched it with their knowledge. Finally, we report the application of this taxonomy to evaluate some existing contributions on self-adaptation of processes.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"155 ","pages":"Article 102374"},"PeriodicalIF":2.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Goal modelling in aeronautics: Practical applications for aircraft and manufacturing designs 航空目标建模：飞机和制造设计的实际应用

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-05 DOI: 10.1016/j.datak.2024.102375

Anouck Chan , Anthony Fernandes Pires , Thomas Polacsek , Stéphanie Roussel , François Bouissière , Claude Cuiller , Pierre-Eric Dereux

{"title":"Goal modelling in aeronautics: Practical applications for aircraft and manufacturing designs","authors":"Anouck Chan , Anthony Fernandes Pires , Thomas Polacsek , Stéphanie Roussel , François Bouissière , Claude Cuiller , Pierre-Eric Dereux","doi":"10.1016/j.datak.2024.102375","DOIUrl":"10.1016/j.datak.2024.102375","url":null,"abstract":"<div><div>Traditional aircraft development follows a sequential approach: the aircraft is designed first, followed by the industrial system. This approach limits the industrial system’s performance due to constraints imposed by the pre-defined aircraft design. Collaborative approaches, however, advocate for simultaneous design of different products to create new opportunities. Within a project focused on co-designing aircraft and their industrial systems, we put goal modelling into practice to gain a comprehensive understanding of the objectives driving each system’s design and their interdependencies. The intention was to develop an approach for actively involving domain experts, even those lacking prior knowledge of Goal-Oriented Requirements Engineering (GORE).</div><div>This paper provides a detailed account of the iterative process employed to develop and refine our approach. For each iteration, we describe the organisation of modelling sessions with experts, the resulting models, and the collected feedback. We also report on the overall approach’s reception from both industry experts and academic participants. Furthermore, we highlight recommendations and research challenges that emerged from the encountered difficulties during the iterative process, suggesting avenues for further investigation and improvement.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"155 ","pages":"Article 102375"},"PeriodicalIF":2.7,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ethical reasoning methods for ICT: What they are and when to use them 信息和传播技术的伦理推理方法：它们是什么以及何时使用

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-04 DOI: 10.1016/j.datak.2024.102373

Sergio España , Chris van der Maaten , Jens Gulden , Óscar Pastor

{"title":"Ethical reasoning methods for ICT: What they are and when to use them","authors":"Sergio España , Chris van der Maaten , Jens Gulden , Óscar Pastor","doi":"10.1016/j.datak.2024.102373","DOIUrl":"10.1016/j.datak.2024.102373","url":null,"abstract":"<div><div>Information and communication technology (ICT) brings about numerous advantages across various domains of our lives. However, alongside these benefits, there is a growing awareness of its potential negative ethical, social, and environmental impacts. Consequently, stakeholders ranging from conceptual modellers to policy makers often find themselves grappling with ethical considerations stemming from ICT engineering and usage. This paper presents a review of 10 ethical reasoning methods suitable for the ICT domain. We have employed a method engineering technique to author metamodels for the methods, which were subsequently subjected to validation by experts proficient in the respective methods. Following a situational method engineering approach, we have also characterised each ethical reasoning method and validated the characterisation with the experts. This has allowed us to develop a tool that helps select the method that is most suitable for a given ethical reasoning situation. Furthermore, we deliberate on the practical application of ethical reasoning methods within conceptual modelling contexts. We are confident that we have laid the groundwork for further research into ethical reasoning of ICT, with a specific emphasis on its role during conceptual modelling.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"155 ","pages":"Article 102373"},"PeriodicalIF":2.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SSQTKG: A Subgraph-based Semantic Query Approach for Temporal Knowledge Graph SSQTKG：基于子图的时态知识图谱语义查询方法

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-02 DOI: 10.1016/j.datak.2024.102372

Lin Zhu, Xinyi Duan, Luyi Bai

{"title":"SSQTKG: A Subgraph-based Semantic Query Approach for Temporal Knowledge Graph","authors":"Lin Zhu, Xinyi Duan, Luyi Bai","doi":"10.1016/j.datak.2024.102372","DOIUrl":"10.1016/j.datak.2024.102372","url":null,"abstract":"<div><div>Real-world knowledge graphs are growing in size with the explosion of data and rapid expansion of knowledge. There are some studies on knowledge graph query, but temporal knowledge graph (TKG) query is still a relatively unexplored field. A temporal knowledge graph is a knowledge graph that contains temporal information and contains knowledge that is likely to change over time. It introduces a temporal dimension that can characterize the changes and evolution of entities and relationships at different points in time. However, in the existing temporal knowledge graph query, the entity labels are one-sided, which cannot accurately reflect the semantic relationships of temporal knowledge graphs, resulting in incomplete query results. For the processing of temporal information in temporal knowledge graphs, we propose a temporal frame filtering approach and measure the acceptability of temporal frames by the new definition <em>sim</em><sub><em>time</em></sub> based on the proposed three temporal frames and nine rules. For measuring the semantic relationship of predicates between entities, we vectorize the semantic similarity between predicates, i.e., edges, using the knowledge embedding model, and propose the new definition <em>sim</em><sub><em>pre</em></sub> to measure the semantic similarity of predicates. Based on these, we propose a new semantic temporal knowledge graph query method <span><math><msub><mrow><mi>SSQ</mi></mrow><mrow><mi>TKG</mi></mrow></msub></math></span>, and perform pruning operations to optimize the query efficiency of the algorithm based on connectivity. Extensive experiments show that <span><math><msub><mrow><mi>SSQ</mi></mrow><mrow><mi>TKG</mi></mrow></msub></math></span> can return more accurate and complete results that meet the query conditions in the semantic query and can improve the performance of the querying on the temporal knowledge graph.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"155 ","pages":"Article 102372"},"PeriodicalIF":2.7,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Selected papers from EGC 2023 EGC 2023论文选集

IF 2.7 3区计算机科学

Data & Knowledge Engineering Pub Date : 2024-11-01 DOI: 10.1016/j.datak.2024.102376

Catherine Faron, Sabine Loudcher

引用次数: 0