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 2022-05-01 to 2026-05-01.)
ArticleCitations
Editorial146
On efficient top-k transaction path query processing in blockchain database87
Convolutional neural network-based high-precision and speed detection system on CIDDS-00167
A fine-grained multi-lingual opinion mining method on social media texts using multi-scale fused features-based adaptive residual convolutional LSTM with attention mechanism54
A graph theoretic approach to assess quality of data for classification task54
ROSI: A hybrid solution for omni-channel feature integration in E-commerce44
Unraveling the foundations and the evolution of conceptual modeling—Intellectual structure, current themes, and trajectories41
Providing healthcare shopping advice through knowledge-based virtual agents41
Blockchain-based ontology driven reference framework for security risk management39
The power and potentials of Flexible Query Answering Systems: A critical and comprehensive analysis37
Editorial Board36
Static and dynamic techniques for iterative test-driven modelling of Dynamic Condition Response Graphs35
How to build data-driven Strategy Maps? A methodological framework proposition33
From base data to knowledge discovery – A life cycle approach – Using multilayer networks31
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses30
Generating multiple conceptual models from behavior-driven development scenarios29
A diagonal-tagging-based cross-modal extraction strategy for knowledge graph construction28
Editorial Board27
Reasoning on responsibilities for optimal process alignment computation27
SimBio: Adopting Particle Swarm Optimization for ontology-based biomedical term similarity assessment26
A transformer-based neural network framework for full names prediction with abbreviations and contexts25
Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysis24
Editorial Board24
Enhancing the convolution-based knowledge graph embeddings by increasing dimension-wise interactions24
Human vs. Automated data annotation: Labeling the data set for an ML-driven support ticket classifier24
S 23
A design theory for data quality tools in data ecosystems: Findings from three industry cases23
Graph data temporal evolutions: From conceptual modelling to implementation22
An integrated requirements framework for analytical and AI projects22
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification21
Fusion learning of preference and bias from ratings and reviews for item recommendation21
Evaluating quality of ontology-driven conceptual models abstractions21
AStar: A modeling language for document-oriented geospatial data warehouses19
Decisive skyline queries for truly balancing multiple criteria19
Editorial Board19
Big Data Analytics and Knowledge Discovery19
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step19
Capturing and Analysing Employee Behaviour: An Honest Day’s Work Record19
Corrigendum to “Mining Closed High Utility Itemsets based on Propositional Satisfiability” [Data Knowl. Eng. 136C (2021) 101927]19
A feature selection method based on term frequency difference and positive weighting factor18
Elevating human-machine collaboration in NLP for enhanced content creation and decision support18
Explanation, semantics, and ontology17
ISO/IEC 25012-based methodology for managing data quality requirements in the development of information systems: Towards Data Quality by Design17
Ontologically correct taxonomies by construction17
How well can a large language model explain business processes as perceived by users?17
Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns16
A survey of processing methods for different types of concept drift16
Enhancing item-based collaborative filtering by users’ similarities injection and low-quality data handling15
An enhanced attentive implicit relation embedding for social recommendation15
BT-CKBQA: An efficient approach for Chinese knowledge base question answering15
CCASL: Counterexamples to comparative analysis of scientific literature — Application to polymers15
VarClaMM: A reference meta-model to understand DNA variant classification14
Enhancing classification capacity of CNN models with deep feature selection and fusion: A case study on maize seed classification14
A conceptual model supporting decision-making for test automation in Agile-based Software Development14
Ontology-based semantic retrieval of documents using Word2vec model14
In Memoriam — Professor Aditya Ghose13
Knowledge graph-based image classification13
Privacy-preserving cross-network service recommendation via federated learning of unified user representations13
Process model forecasting and change exploration using time series analysis of event sequence data13
Editorial Preface for “Selected Papers from the 18th International Conference on Research Challenges in Information Science (RCIS 2024)”13
Editorial Board13
An assessment taxonomy for self-adaptation business process solutions13
Neurofuzzy semantic similarity measurement13
Corrigendum to “An efficient integer coding index algorithm for multi-scale time information management” [Data Knowl. Eng. 119 (2019) 123–138]13
Optimized deep learning-based prediction model for chiller performance prediction12
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics12
Large language models: Expectations for semantics-driven systems engineering12
A constructive deep convolutional network model for analyzing video-to-image sequences12
Location-privacy preserving partial nearby friends querying in urban areas12
Combining Specialized Word Embeddings and Subword Semantic Features for Lexical Entailment Recognition12
Editorial Board12
An optimization enabled Hierarchical Attention -Deep LSTM model for sentiment analysis on cloth products from customer rating11
A knowledge-sharing platform for space resources11
A hierarchical graph-based model for mobility data representation and analysis11
Derived multi-objective function for latency sensitive-based cloud object storage system using hybrid heuristic algorithm11
A BERT model and momentum contrastive learning based sequential recommendation method and its implementation11
Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability11
An explainable machine learning approach for automated medical decision support of heart disease10
SkiQL: A unified schema query language10
Analyzing fuzzy semantics of reviews for multi-criteria recommendations10
Ethical reasoning methods for ICT: What they are and when to use them10
Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation10
Rule-guided process discovery10
Semantic requirements construction using ontologies and boilerplates10
Fuzzy-Ontology based knowledge driven disease risk level prediction with optimization assisted ensemble classifier10
RINX: A system for information and knowledge extraction from resumes10
SSQTKG: A9
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
A framework for approximate product search using faceted navigation and user preference ranking9
TEDA-driven adaptive stream clustering for concept drift detection9
Multi-feature classification for fake news detection using multiscale and atrous convolution-based adaptive temporal convolution network9
Ensemble model with combined feature set for Big data classification in IoT scenario9
A methodology for the systematic design of storytelling dashboards applied to Industry 4.09
Automatic query expansion for enhancing document retrieval system in healthcare application using GAN based embedding and hyper-tuned DAEBERT algorithm9
HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models9
Insights into commonalities of a sample: A visualization framework to explore unusual subset-dataset relationships9
0.052722930908203