Data & Knowledge Engineering

Papers
(The TQCC of Data & Knowledge Engineering is 9. 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
Blockchain-based ontology driven reference framework for security risk management31
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses31
Generating multiple conceptual models from behavior-driven development scenarios31
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
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step16
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
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
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
A conceptual model supporting decision-making for test automation in Agile-based Software Development14
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
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
Combining Specialized Word Embeddings and Subword Semantic Features for Lexical Entailment Recognition10
Semantic requirements construction using ontologies and boilerplates10
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
Mixed emotion extraction analysis and visualisation of social media text9
A methodology for the systematic design of storytelling dashboards applied to Industry 4.09
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
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