Data & Knowledge Engineering

Papers
(The median citation count of Data & Knowledge Engineering is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Editorial84
A graph theoretic approach to assess quality of data for classification task65
On efficient top-k transaction path query processing in blockchain database47
Convolutional neural network-based high-precision and speed detection system on CIDDS-00141
ROSI: A hybrid solution for omni-channel feature integration in E-commerce40
Providing healthcare shopping advice through knowledge-based virtual agents39
Static and dynamic techniques for iterative test-driven modelling of Dynamic Condition Response Graphs38
How to build data-driven Strategy Maps? A methodological framework proposition36
From base data to knowledge discovery – A life cycle approach – Using multilayer networks35
The power and potentials of Flexible Query Answering Systems: A critical and comprehensive analysis34
Editorial Board32
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses31
Generating multiple conceptual models from behavior-driven development scenarios31
Blockchain-based ontology driven reference framework for security risk management31
Unraveling the foundations and the evolution of conceptual modeling—Intellectual structure, current themes, and trajectories29
Reasoning on responsibilities for optimal process alignment computation26
A design theory for data quality tools in data ecosystems: Findings from three industry cases26
Evaluating quality of ontology-driven conceptual models abstractions23
Editorial Board23
Editorial Board22
Enhancing the convolution-based knowledge graph embeddings by increasing dimension-wise interactions22
SimBio: Adopting Particle Swarm Optimization for ontology-based biomedical term similarity assessment21
A transformer-based neural network framework for full names prediction with abbreviations and contexts21
Fusion learning of preference and bias from ratings and reviews for item recommendation20
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification19
Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysis19
Graph data temporal evolutions: From conceptual modelling to implementation19
Big Data Analytics and Knowledge Discovery18
AStar: A modeling language for document-oriented geospatial data warehouses18
Capturing and Analysing Employee Behaviour: An Honest Day’s Work Record18
Integrating Character-level and Word-level Representation for Affect in Arabic Tweets18
Editorial Board18
Decisive skyline queries for truly balancing multiple criteria17
Ontologically correct taxonomies by construction17
Corrigendum to “Mining Closed High Utility Itemsets based on Propositional Satisfiability” [Data Knowl. Eng. 136C (2021) 101927]16
How well can a large language model explain business processes as perceived by users?16
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step16
BT-CKBQA: An efficient approach for Chinese knowledge base question answering15
A feature selection method based on term frequency difference and positive weighting factor15
An enhanced attentive implicit relation embedding for social recommendation15
A core ontology on the Human–Computer Interaction phenomenon15
ISO/IEC 25012-based methodology for managing data quality requirements in the development of information systems: Towards Data Quality by Design15
Explanation, semantics, and ontology15
Enhancing classification capacity of CNN models with deep feature selection and fusion: A case study on maize seed classification14
Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns14
A survey of processing methods for different types of concept drift14
Enhancing item-based collaborative filtering by users’ similarities injection and low-quality data handling14
Ontology-based semantic retrieval of documents using Word2vec model14
A conceptual model supporting decision-making for test automation in Agile-based Software Development14
An assessment taxonomy for self-adaptation business process solutions13
LEAPME: Learning-based Property Matching with Embeddings13
In Memoriam — Professor Aditya Ghose13
Knowledge graph-based image classification13
Editorial Board13
VarClaMM: A reference meta-model to understand DNA variant classification13
Neurofuzzy semantic similarity measurement12
Process model forecasting and change exploration using time series analysis of event sequence data12
Modeling metadata in data lakes—A generic model12
Corrigendum to “An efficient integer coding index algorithm for multi-scale time information management” [Data Knowl. Eng. 119 (2019) 123–138]12
Privacy-preserving cross-network service recommendation via federated learning of unified user representations12
A constructive deep convolutional network model for analyzing video-to-image sequences11
A knowledge-sharing platform for space resources11
Large language models: Expectations for semantics-driven systems engineering11
Derived multi-objective function for latency sensitive-based cloud object storage system using hybrid heuristic algorithm11
Editorial Board11
A hierarchical graph-based model for mobility data representation and analysis11
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics10
Location-privacy preserving partial nearby friends querying in urban areas10
Optimized deep learning-based prediction model for chiller performance prediction10
Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability10
Ethical reasoning methods for ICT: What they are and when to use them10
Combining Specialized Word Embeddings and Subword Semantic Features for Lexical Entailment Recognition10
Semantic requirements construction using ontologies and boilerplates10
Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout9
RINX: A system for information and knowledge extraction from resumes9
An explainable machine learning approach for automated medical decision support of heart disease9
TEDA-driven adaptive stream clustering for concept drift detection9
HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models9
Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation9
Automatic query expansion for enhancing document retrieval system in healthcare application using GAN based embedding and hyper-tuned DAEBERT algorithm9
Fuzzy-Ontology based knowledge driven disease risk level prediction with optimization assisted ensemble classifier9
Change pattern relationships in event logs9
SkiQL: A unified schema query language9
Analyzing fuzzy semantics of reviews for multi-criteria recommendations9
Multi-feature classification for fake news detection using multiscale and atrous convolution-based adaptive temporal convolution network9
Mixed emotion extraction analysis and visualisation of social media text9
A methodology for the systematic design of storytelling dashboards applied to Industry 4.09
SSQTKG: A8
A workload-driven method for designing aggregate-oriented NoSQL databases8
Insights into commonalities of a sample: A visualization framework to explore unusual subset-dataset relationships8
Machine learning for predicting off-block delays: A case study at Paris — Charles de Gaulle International Airport8
Ensemble model with combined feature set for Big data classification in IoT scenario8
Automated sentimental analysis using heuristic-based CNN-BiLSTM for E-commerce dataset8
A framework for approximate product search using faceted navigation and user preference ranking7
Modified Hierarchical-Attention Network model for legal judgment predictions7
Editorial Board7
Preface7
On the explanatory power of Boolean decision trees7
Selecting databases for Polyglot Persistence applications7
Multi-Layer Hybrid (MLH) balancing technique: A combined approach to remove data imbalance7
Multi-Granularity History Graph Network for temporal knowledge graph reasoning7
Event detection with multi-order edge-aware graph convolution networks7
A framework for understanding event abstraction problem solving: Current states of event abstraction studies7
Retraction notice to “Pollen risk levels prediction from multi-source historical data” [Data Knowl. Eng. 142 (2022) 102096]7
Fake news detection algorithms – A systematic literature review7
Data analytics and knowledge discovery on big data: Algorithms, architectures, and applications7
OFES: Optimal feature evaluation and selection for multi-class classification7
A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index6
Mining Keys for Graphs6
Editorial Board6
A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms6
Discovering and evaluating organizational knowledge from textual data: Application to crisis management6
Editorial for VSI:NLDB-saarbruecken-20216
A conceptual framework for the government big data ecosystem (‘datagov.eco’)6
Sense, Transform & Send for the Internet of Things (STS4IoT): UML profile for data-centric IoT applications6
Editorial introduction for special issue on research challenges and practices in conceptual modeling – ER 20236
Rating scale preferences for accurate recommendations6
An extended taxonomy of advanced information visualization and interaction in conceptual modeling6
Preface - special issue on conceptual modeling – ER 20226
Reinforcement learning for optimizing responses in care processes6
CQuAE: A new Contextualized QUestion Answering corpus on Education domain5
Machine learning-based risk prediction model for cardiovascular disease using a hybrid dataset5
A parameter-free KNN for rating prediction5
Preface5
Outranking Relations based Multi-criteria Recommender System for Analysis of Health Risk using Multi-objective Feature Selection Approach5
The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers5
Aligning and linking entity mentions in image, text, and knowledge base5
Developing A Decision Support System for Healthcare Practices: A Design Science Research Approach5
A novel hybrid approach for text encoding: Cognitive Attention To Syntax model to detect online misinformation5
Time-aware structure matching for temporal knowledge graph alignment5
Metaheuristic enabled intelligent model for stock market prediction via integrating volatility spillover: India and its Asian and European counterparts5
Editorial Board5
System: A core conceptual modeling construct for capturing complexity5
To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data5
Robotic process automation using process mining — A systematic literature review4
Editorial Board4
Editorial Board4
Curvature constrained MPNNs: Improving message passing with local structural properties4
Managerial risk data analytics applications using grey influence analysis (GINA)4
Modelling and solving industrial production tasks as planning-scheduling tasks4
PoliViews: A comprehensive and modular approach to the conceptual modeling of genomic data4
Better than XML: Towards a lexicographic markup language4
Accessibility in conceptual modeling—A systematic literature review, a keyboard-only UML modeling tool, and a research roadmap4
Leveraging relevant summarized information and multi-layer classification to generalize the detection of misleading headlines4
Transfer learning and sentiment analysis of Bahraini dialects sequential text data using multilingual deep learning approach4
Self-adaptation in smartphone applications: Current state-of-the-art techniques, challenges, and future directions4
Watch out, pothole! featuring road damage detection in an end-to-end system for autonomous driving4
CIAGELP: Clustering Inspired Augmented Graph Embedding based Link Prediction in dynamic networks3
Detecting and repairing anomaly patterns in business process event logs3
Modelling temporal goals in runtime goal models3
Evolution management in multi-model databases3
A novel approach for Credit-Based Resource Aware Load Balancing algorithm (CB-RALB-SA) for scheduling jobs in cloud computing3
Effective healthcare service recommendation with network representation learning: A recursive neural network approach3
AI system architecture design methodology based on IMO (Input-AI Model-Output) structure for successful AI adoption in organizations3
Editorial Board3
Corrigendum to “Explicit and implicit oriented aspect-based sentiment analysis with optimal feature selection and deep learning for demonetization in India” Data Knowl. Eng. 142 (2022) 1020923
Enhancing the intelligibility of decision trees with concise and reliable probabilistic explanations3
Editorial Board3
A-MKMC: An effective adaptive-based multilevel K-means clustering with optimal centroid selection using hybrid heuristic approach for handling the incomplete data3
In pursuit of the hidden features of GNN’s internal representations3
Deep attention based optimized Bi-LSTM for improving geospatial data ontology3
A goal-oriented document-grounded dialogue based on evidence generation3
Global and item-by-item reasoning fusion-based multi-hop KGQA3
Chinese named-entity recognition via self-attention mechanism and position-aware influence propagation embedding3
Improving the identification of relevant variants in genome information systems: A methodological approach with a case study on early onset Alzheimer's disease3
Evaluating Transformers and Linguistic Features integration for Author Profiling tasks in Spanish2
Hybrid methodology for analysis of structured and unstructured data to support decision-making in public security2
Editorial Board2
A survey on big data classification2
Anomaly explanation: A review2
French translation of a dialogue dataset and text-based emotion detection2
Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approach2
Dirigo: A method to extract event logs for object-centric processes2
Data engineering and modeling for artificial intelligence2
CALEB: A Conditional Adversarial Learning Framework to enhance bot detection2
PSA-GAT: Integrating position-syntax and cross-aspect graph attention networks for aspect-based sentiment analysis2
Data-aware process models: From soundness checking to repair2
Issues in inter-organizational data sharing: Findings from practice and research challenges2
Editorial preface to the special issue on research challenges in information science (RCIS’2023)2
Optimized speaker change detection approach for speaker segmentation towards speaker diarization based on deep learning2
An approach to on-demand extension of multidimensional cubes in multi-model settings: Application to IoT-based agro-ecology2
Challenges of a Data Ecosystem for scientific data2
Turning Conceptual Modeling Institutional – The prescriptive role of conceptual models in transforming institutional reality2
An approach to detect backbones of information diffusers among different communities of a social platform2
Recognition algorithm for cross-texting in text chat conversations2
Advances in knowledge discovery and management, best papers of EGC 20242
Big data classification using SpinalNet-Fuzzy-ResNeXt based on spark architecture with data mining approach2
Leveraging an Isolation Forest to Anomaly Detection and Data Clustering2
Architecture for ontology-supported multi-context reasoning systems2
SRank: Guiding schema selection in NoSQL document stores2
Blockchain based Securing Medical Records in Big Data Analytics2
FaNDS: Fake News Detection System using energy flow2
Topological querying of music scores2
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