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 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
The power and potentials of Flexible Query Answering Systems: A critical and comprehensive analysis33
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses33
A diagonal-tagging-based cross-modal extraction strategy for knowledge graph construction32
Blockchain-based ontology driven reference framework for security risk management32
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
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
An integrated requirements framework for analytical and AI projects30
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
Explanation, semantics, and ontology19
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step19
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
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
Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns16
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
CCASL: Counterexamples to comparative analysis of scientific literature — Application to polymers15
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
Editorial Preface for “Selected Papers from the 18th International Conference on Research Challenges in Information Science (RCIS 2024)”14
Neurofuzzy semantic similarity measurement14
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
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
Derived multi-objective function for latency sensitive-based cloud object storage system using hybrid heuristic algorithm12
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
Large language models: Expectations for semantics-driven systems engineering11
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
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
A methodology for the systematic design of storytelling dashboards applied to Industry 4.09
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
Ensemble model with combined feature set for Big data classification in IoT scenario9
Rule-guided process discovery9
Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout9
Change pattern relationships in event logs9
Insights into commonalities of a sample: A visualization framework to explore unusual subset-dataset relationships9
RINX: A system for information and knowledge extraction from resumes9
SSQTKG: A9
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
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
Editorial Board7
Modified Hierarchical-Attention Network model for legal judgment predictions7
Retraction notice to “Pollen risk levels prediction from multi-source historical data” [Data Knowl. Eng. 142 (2022) 102096]7
When temporary results meet intermediate index: An optimization technique of procedural SQL query processing7
Preface - special issue on conceptual modeling – ER 20227
Enhancing clustering stability, compactness, and separation in multimodal data environments7
A framework for understanding event abstraction problem solving: Current states of event abstraction studies7
On the explanatory power of Boolean decision trees7
Multi-Layer Hybrid (MLH) balancing technique: A combined approach to remove data imbalance7
CLERK: A Companion Large Language Model Expert for modeling Regulatory Knowledge7
An extended taxonomy of advanced information visualization and interaction in conceptual modeling7
Reinforcement learning for optimizing responses in care processes7
Event detection with multi-order edge-aware graph convolution networks7
Enhancing SPARQL query generation using multi-label text-to-text models7
Multi-Granularity History Graph Network for temporal knowledge graph reasoning7
Fake news detection algorithms – A systematic literature review7
Editorial introduction for special issue on research challenges and practices in conceptual modeling – ER 20237
Data analytics and knowledge discovery on big data: Algorithms, architectures, and applications7
Mining Keys for Graphs6
Discovering and evaluating organizational knowledge from textual data: Application to crisis management6
Editorial Board6
Rating scale preferences for accurate recommendations6
Preface6
A conceptual framework for the government big data ecosystem (‘datagov.eco’)6
Editorial Board6
Time-aware structure matching for temporal knowledge graph alignment6
Metaheuristic enabled intelligent model for stock market prediction via integrating volatility spillover: India and its Asian and European counterparts6
A parameter-free KNN for rating prediction6
Efficiently sampling interval patterns from numerical databases6
A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index6
ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian6
Editorial for VSI:NLDB-saarbruecken-20216
CQuAE: A new Contextualized QUestion Answering corpus on Education domain6
Developing A Decision Support System for Healthcare Practices: A Design Science Research Approach6
Modelling and solving industrial production tasks as planning-scheduling tasks5
A novel hybrid approach for text encoding: Cognitive Attention To Syntax model to detect online misinformation5
Outranking Relations based Multi-criteria Recommender System for Analysis of Health Risk using Multi-objective Feature Selection Approach5
Managerial risk data analytics applications using grey influence analysis (GINA)5
PoliViews: A comprehensive and modular approach to the conceptual modeling of genomic data5
Leveraging relevant summarized information and multi-layer classification to generalize the detection of misleading headlines5
Robotic process automation using process mining — A systematic literature review5
A graph-based model for semantic textual similarity measurement5
Transfer learning and sentiment analysis of Bahraini dialects sequential text data using multilingual deep learning approach5
System: A core conceptual modeling construct for capturing complexity5
On the performance of LSH-based Recommender Systems for E-commerce5
To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data5
Detecting and repairing anomaly patterns in business process event logs4
Curvature constrained MPNNs: Improving message passing with local structural properties4
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) 1020924
Modelling temporal goals in runtime goal models4
Deep attention based optimized Bi-LSTM for improving geospatial data ontology4
CIAGELP: Clustering Inspired Augmented Graph Embedding based Link Prediction in dynamic networks4
Watch out, pothole! featuring road damage detection in an end-to-end system for autonomous driving4
Personalized learning path generation using large language models and sequential recommendations4
Editorial Board4
Editorial Board4
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
MRV-RSA: Developed Modified Random Value Reptile Search Algorithm and Deep Learning based Fraud Detection Model in Banking Sector4
Improving the identification of relevant variants in genome information systems: A methodological approach with a case study on early onset Alzheimer's disease4
Editorial Board4
In pursuit of the hidden features of GNN’s internal representations4
AI system architecture design methodology based on IMO (Input-AI Model-Output) structure for successful AI adoption in organizations4
Knowledge graph question generation based on crucial semantic information4
Enhancing the intelligibility of decision trees with concise and reliable probabilistic explanations3
A novel approach for Credit-Based Resource Aware Load Balancing algorithm (CB-RALB-SA) for scheduling jobs in cloud computing3
Editorial preface to the special issue on research challenges in information science (RCIS’2023)3
Effective healthcare service recommendation with network representation learning: A recursive neural network approach3
Leveraging an Isolation Forest to Anomaly Detection and Data Clustering3
Turning Conceptual Modeling Institutional – The prescriptive role of conceptual models in transforming institutional reality3
Global and item-by-item reasoning fusion-based multi-hop KGQA3
Editorial Board3
A survey on big data classification3
Blockchain based Securing Medical Records in Big Data Analytics3
Targeting language models for compile-time computing resource optimization: A novel approach based on masked graph autoencoders3
Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approach3
SRank: Guiding schema selection in NoSQL document stores3
Optimized speaker change detection approach for speaker segmentation towards speaker diarization based on deep learning3
Dynamic time warping for classifying long-term trends in time series3
Ontology-guided and neighborhood-aware embedding for industrial knowledge graph completion3
French translation of a dialogue dataset and text-based emotion detection3
A goal-oriented document-grounded dialogue based on evidence generation3
Topological querying of music scores3
A-MKMC: An effective adaptive-based multilevel K-means clustering with optimal centroid selection using hybrid heuristic approach for handling the incomplete data3
Challenges of a Data Ecosystem for scientific data3
An approach to on-demand extension of multidimensional cubes in multi-model settings: Application to IoT-based agro-ecology3
Editorial Board2
Selected papers from EGC 20232
Editorial Board2
Corrigendum to “Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability” [Knowledge and Data Engineering Volume 160, November 202
PSA-GAT: Integrating position-syntax and cross-aspect graph attention networks for aspect-based sentiment analysis2
Recognition algorithm for cross-texting in text chat conversations2
Issues in inter-organizational data sharing: Findings from practice and research challenges2
The tendency-based multi-criteria group recommendation systems2
Temporal knowledge graph recommendation with sequence-aware and path reasoning2
Logical big data integration and near real-time data analytics2
Towards understanding students’ sensemaking of test case design2
Improving speech emotion recognition by fusing self-supervised learning and spectral features via mixture of experts2
Discovering outlying attributes of outliers in data streams2
CALEB: A Conditional Adversarial Learning Framework to enhance bot detection2
Explainable machine learning models to analyse maternal health2
Editorial Board2
Evaluating Transformers and Linguistic Features integration for Author Profiling tasks in Spanish2
Advances in knowledge discovery and management, best papers of EGC 20242
Dirigo: A method to extract event logs for object-centric processes2
Hybrid methodology for analysis of structured and unstructured data to support decision-making in public security2
Clustering of timed sequences – Application to the analysis of care pathways2
Relating behaviour of data-aware process models2
Simulating complex urban growth using agent based modeling and genetic algorithms2
LQ-FJS: A logical query-digging fake-news judgment system with structured video-summarization engine using LLM2
Using Berlin SPARQL benchmark to evaluate virtual SPARQL endpoints over relational databases2
A bitwise approach on influence overload problem2
An extended TF-IDF method for improving keyword extraction in traditional corpus-based research: An example of a climate change corpus2
Big data classification using SpinalNet-Fuzzy-ResNeXt based on spark architecture with data mining approach2
Data-aware process models: From soundness checking to repair2
Editorial Board2
ASK-BIM: A knowledge graph-powered AI system for natural language querying of BIM models2
Data engineering and modeling for artificial intelligence2
Entity type inference based on path walking and inter-types relationships2
Wikipedia searches and the epidemiology of infectious diseases: A systematic review2
A self-adaptive density-based clustering algorithm for varying densities datasets with strong disturbance factor2
CriMOnto: A generalized domain-specific ontology for modeling procedural norms of the Lebanese criminal law2
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