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 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial184
Convolutional neural network-based high-precision and speed detection system on CIDDS-00197
A graph theoretic approach to assess quality of data for classification task82
On efficient top-k transaction path query processing in blockchain database61
A graph neural network approach to automated resume classification50
ROSI: A hybrid solution for omni-channel feature integration in E-commerce46
Unraveling the foundations and the evolution of conceptual modeling—Intellectual structure, current themes, and trajectories40
Providing healthcare shopping advice through knowledge-based virtual agents40
Static and dynamic techniques for iterative test-driven modelling of Dynamic Condition Response Graphs39
From base data to knowledge discovery – A life cycle approach – Using multilayer networks36
Generating multiple conceptual models from behavior-driven development scenarios35
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses33
The power and potentials of Flexible Query Answering Systems: A critical and comprehensive analysis33
Blockchain-based ontology driven reference framework for security risk management32
A diagonal-tagging-based cross-modal extraction strategy for knowledge graph construction32
Reasoning on responsibilities for optimal process alignment computation31
A fine-grained multi-lingual opinion mining method on social media texts using multi-scale fused features-based adaptive residual convolutional LSTM with attention mechanism31
An integrated requirements framework for analytical and AI projects30
A transformer-based neural network framework for full names prediction with abbreviations and contexts30
Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysis30
Editorial Board28
Fusion learning of preference and bias from ratings and reviews for item recommendation24
S 24
Human vs. Automated data annotation: Labeling the data set for an ML-driven support ticket classifier24
SimBio: Adopting Particle Swarm Optimization for ontology-based biomedical term similarity assessment23
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification23
Evaluating quality of ontology-driven conceptual models abstractions23
Enhancing the convolution-based knowledge graph embeddings by increasing dimension-wise interactions22
A design theory for data quality tools in data ecosystems: Findings from three industry cases22
Editorial Board22
Decisive skyline queries for truly balancing multiple criteria21
Capturing and Analysing Employee Behaviour: An Honest Day’s Work Record21
Big Data Analytics and Knowledge Discovery21
Corrigendum to “Mining Closed High Utility Itemsets based on Propositional Satisfiability” [Data Knowl. Eng. 136C (2021) 101927]20
Elevating human-machine collaboration in NLP for enhanced content creation and decision support20
AStar: A modeling language for document-oriented geospatial data warehouses20
A feature selection method based on term frequency difference and positive weighting factor20
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step19
Explanation, semantics, and ontology19
How well can a large language model explain business processes as perceived by users?18
BT-CKBQA: An efficient approach for Chinese knowledge base question answering17
Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns16
ISO/IEC 25012-based methodology for managing data quality requirements in the development of information systems: Towards Data Quality by Design16
A conceptual model supporting decision-making for test automation in Agile-based Software Development16
An enhanced attentive implicit relation embedding for social recommendation16
CCASL: Counterexamples to comparative analysis of scientific literature — Application to polymers15
Enhancing classification capacity of CNN models with deep feature selection and fusion: A case study on maize seed classification15
Ontology-based semantic retrieval of documents using Word2vec model15
Editorial Preface for “Selected Papers from the 18th International Conference on Research Challenges in Information Science (RCIS 2024)”14
Neurofuzzy semantic similarity measurement14
A survey of processing methods for different types of concept drift14
An assessment taxonomy for self-adaptation business process solutions14
Editorial Board14
Enhancing item-based collaborative filtering by users’ similarities injection and low-quality data handling14
In Memoriam — Professor Aditya Ghose14
VarClaMM: A reference meta-model to understand DNA variant classification14
An optimization enabled Hierarchical Attention -Deep LSTM model for sentiment analysis on cloth products from customer rating13
Process model forecasting and change exploration using time series analysis of event sequence data13
Privacy-preserving cross-network service recommendation via federated learning of unified user representations13
Optimized deep learning-based prediction model for chiller performance prediction13
Heterogeneity in entity matching: A survey and experimental analysis13
Knowledge graph-based image classification13
A constructive deep convolutional network model for analyzing video-to-image sequences13
Combining Specialized Word Embeddings and Subword Semantic Features for Lexical Entailment Recognition13
Refining storage strategy through index selection methods in multi-model database systems: A survey13
Derived multi-objective function for latency sensitive-based cloud object storage system using hybrid heuristic algorithm12
A BERT model and momentum contrastive learning based sequential recommendation method and its implementation12
A hierarchical graph-based model for mobility data representation and analysis12
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics12
Editorial Board12
Large language models: Expectations for semantics-driven systems engineering11
Ethical reasoning methods for ICT: What they are and when to use them11
Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability11
TA-KGE: Enhancing knowledge graph embedding with DV-MPNNs, an entity-type-aware message-passing framework11
A knowledge-sharing platform for space resources11
Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation10
Fuzzy-Ontology based knowledge driven disease risk level prediction with optimization assisted ensemble classifier10
HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models10
Semantic requirements construction using ontologies and boilerplates10
Automatic query expansion for enhancing document retrieval system in healthcare application using GAN based embedding and hyper-tuned DAEBERT algorithm10
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
TEDA-driven adaptive stream clustering for concept drift detection10
Mixed emotion extraction analysis and visualisation of social media text9
Insights into commonalities of a sample: A visualization framework to explore unusual subset-dataset relationships9
Rule-guided process discovery9
Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout9
A methodology for the systematic design of storytelling dashboards applied to Industry 4.09
RINX: A system for information and knowledge extraction from resumes9
SSQTKG: A9
Ensemble model with combined feature set for Big data classification in IoT scenario9
Change pattern relationships in event logs9
Multi-feature classification for fake news detection using multiscale and atrous convolution-based adaptive temporal convolution network9
A Text-to-SQL strategy based on large language models and knowledge graphs for real-world databases8
A workload-driven method for designing aggregate-oriented NoSQL databases8
A framework for approximate product search using faceted navigation and user preference ranking8
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
Semantic-aware query answering with Large Language Models8
Influential node identification method based on local and global information considering the sum of 1st to Kth order neighbors8
0.057639122009277