Data & Knowledge Engineering

Papers
(The TQCC of Data & Knowledge Engineering is 8. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial65
On efficient top-k transaction path query processing in blockchain database63
Convolutional neural network-based high-precision and speed detection system on CIDDS-00158
A graph theoretic approach to assess quality of data for classification task45
The power and potentials of Flexible Query Answering Systems: A critical and comprehensive analysis38
From base data to knowledge discovery – A life cycle approach – Using multilayer networks37
Blockchain-based ontology driven reference framework for security risk management34
Providing healthcare shopping advice through knowledge-based virtual agents34
Static and dynamic techniques for iterative test-driven modelling of Dynamic Condition Response Graphs34
How to build data-driven Strategy Maps? A methodological framework proposition32
Editorial Board32
Generating multiple conceptual models from behavior-driven development scenarios31
Unraveling the foundations and the evolution of conceptual modeling—Intellectual structure, current themes, and trajectories30
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses29
A transformer-based neural network framework for full names prediction with abbreviations and contexts29
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification29
A design theory for data quality tools in data ecosystems: Findings from three industry cases26
Reasoning on responsibilities for optimal process alignment computation25
Graph data temporal evolutions: From conceptual modelling to implementation22
Editorial Board21
Fusion learning of preference and bias from ratings and reviews for item recommendation21
Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysis21
Editorial Board20
SimBio: Adopting Particle Swarm Optimization for ontology-based biomedical term similarity assessment19
Enhancing the convolution-based knowledge graph embeddings by increasing dimension-wise interactions19
Editorial Board18
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step18
Evaluating quality of ontology-driven conceptual models abstractions18
Integrating Character-level and Word-level Representation for Affect in Arabic Tweets18
Corrigendum to “Mining Closed High Utility Itemsets based on Propositional Satisfiability” [Data Knowl. Eng. 136C (2021) 101927]18
AStar: A modeling language for document-oriented geospatial data warehouses18
Decisive skyline queries for truly balancing multiple criteria17
Capturing and Analysing Employee Behaviour: An Honest Day’s Work Record17
A feature selection method based on term frequency difference and positive weighting factor16
Big Data Analytics and Knowledge Discovery15
Explanation, semantics, and ontology15
How well can a large language model explain business processes as perceived by users?15
Ontologically correct taxonomies by construction15
LEAPME: Learning-based Property Matching with Embeddings14
ISO/IEC 25012-based methodology for managing data quality requirements in the development of information systems: Towards Data Quality by Design14
Enhancing item-based collaborative filtering by users’ similarities injection and low-quality data handling14
A conceptual model supporting decision-making for test automation in Agile-based Software Development14
BT-CKBQA: An efficient approach for Chinese knowledge base question answering14
An enhanced attentive implicit relation embedding for social recommendation14
VarClaMM: A reference meta-model to understand DNA variant classification13
Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns13
Ontology-based semantic retrieval of documents using Word2vec model13
A core ontology on the Human–Computer Interaction phenomenon13
Enhancing classification capacity of CNN models with deep feature selection and fusion: A case study on maize seed classification13
An assessment taxonomy for self-adaptation business process solutions12
Corrigendum to “An efficient integer coding index algorithm for multi-scale time information management” [Data Knowl. Eng. 119 (2019) 123–138]12
In Memoriam — Professor Aditya Ghose12
Privacy-preserving cross-network service recommendation via federated learning of unified user representations12
Editorial Board12
Neurofuzzy semantic similarity measurement12
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics11
Derived multi-objective function for latency sensitive-based cloud object storage system using hybrid heuristic algorithm11
Modeling metadata in data lakes—A generic model11
Combining Specialized Word Embeddings and Subword Semantic Features for Lexical Entailment Recognition11
A hierarchical graph-based model for mobility data representation and analysis11
Knowledge graph-based image classification11
Editorial Board11
A knowledge-sharing platform for space resources11
A constructive deep convolutional network model for analyzing video-to-image sequences11
Process model forecasting and change exploration using time series analysis of event sequence data11
Location-privacy preserving partial nearby friends querying in urban areas10
Optimized deep learning-based prediction model for chiller performance prediction9
SkiQL: A unified schema query language9
Analyzing fuzzy semantics of reviews for multi-criteria recommendations9
RINX: A system for information and knowledge extraction from resumes9
Ethical reasoning methods for ICT: What they are and when to use them9
Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout9
Mixed emotion extraction analysis and visualisation of social media text9
Fuzzy-Ontology based knowledge driven disease risk level prediction with optimization assisted ensemble classifier9
Large language models: Expectations for semantics-driven systems engineering9
Semantic requirements construction using ontologies and boilerplates9
Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation9
An explainable machine learning approach for automated medical decision support of heart disease9
HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models9
Insights into commonalities of a sample: A visualization framework to explore unusual subset-dataset relationships8
Ensemble model with combined feature set for Big data classification in IoT scenario8
Multi-Layer Hybrid (MLH) balancing technique: A combined approach to remove data imbalance8
SSQTKG: A8
A framework for approximate product search using faceted navigation and user preference ranking8
Change pattern relationships in event logs8
A workload-driven method for designing aggregate-oriented NoSQL databases8
Machine learning for predicting off-block delays: A case study at Paris — Charles de Gaulle International Airport8
Automated sentimental analysis using heuristic-based CNN-BiLSTM for E-commerce dataset8
Retraction notice to “Pollen risk levels prediction from multi-source historical data” [Data Knowl. Eng. 142 (2022) 102096]8
A methodology for the systematic design of storytelling dashboards applied to Industry 4.08
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