Data & Knowledge Engineering

Papers
(The median citation count of Data & Knowledge Engineering is 3. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial156
On efficient top-k transaction path query processing in blockchain database91
Convolutional neural network-based high-precision and speed detection system on CIDDS-00169
A graph theoretic approach to assess quality of data for classification task54
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
ROSI: A hybrid solution for omni-channel feature integration in E-commerce44
Providing healthcare shopping advice through knowledge-based virtual agents41
Unraveling the foundations and the evolution of conceptual modeling—Intellectual structure, current themes, and trajectories39
The power and potentials of Flexible Query Answering Systems: A critical and comprehensive analysis38
Editorial Board36
Static and dynamic techniques for iterative test-driven modelling of Dynamic Condition Response Graphs35
From base data to knowledge discovery – A life cycle approach – Using multilayer networks33
Blockchain-based ontology driven reference framework for security risk management33
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses31
Generating multiple conceptual models from behavior-driven development scenarios30
Reasoning on responsibilities for optimal process alignment computation29
Human vs. Automated data annotation: Labeling the data set for an ML-driven support ticket classifier29
A transformer-based neural network framework for full names prediction with abbreviations and contexts27
Editorial Board26
Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysis25
Enhancing the convolution-based knowledge graph embeddings by increasing dimension-wise interactions24
S 24
An integrated requirements framework for analytical and AI projects24
A design theory for data quality tools in data ecosystems: Findings from three industry cases24
Fusion learning of preference and bias from ratings and reviews for item recommendation23
Evaluating quality of ontology-driven conceptual models abstractions23
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification22
Capturing and Analysing Employee Behaviour: An Honest Day’s Work Record22
SimBio: Adopting Particle Swarm Optimization for ontology-based biomedical term similarity assessment22
Editorial Board22
Corrigendum to “Mining Closed High Utility Itemsets based on Propositional Satisfiability” [Data Knowl. Eng. 136C (2021) 101927]19
AStar: A modeling language for document-oriented geospatial data warehouses19
A feature selection method based on term frequency difference and positive weighting factor19
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step19
Elevating human-machine collaboration in NLP for enhanced content creation and decision support19
Decisive skyline queries for truly balancing multiple criteria19
Big Data Analytics and Knowledge Discovery19
Explanation, semantics, and ontology18
Enhancing item-based collaborative filtering by users’ similarities injection and low-quality data handling18
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 answering18
A conceptual model supporting decision-making for test automation in Agile-based Software Development17
Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns17
Enhancing classification capacity of CNN models with deep feature selection and fusion: A case study on maize seed classification17
A survey of processing methods for different types of concept drift16
ISO/IEC 25012-based methodology for managing data quality requirements in the development of information systems: Towards Data Quality by Design15
An enhanced attentive implicit relation embedding for social recommendation15
CCASL: Counterexamples to comparative analysis of scientific literature — Application to polymers15
Ontology-based semantic retrieval of documents using Word2vec model15
Corrigendum to “An efficient integer coding index algorithm for multi-scale time information management” [Data Knowl. Eng. 119 (2019) 123–138]14
Editorial Preface for “Selected Papers from the 18th International Conference on Research Challenges in Information Science (RCIS 2024)”14
VarClaMM: A reference meta-model to understand DNA variant classification14
Process model forecasting and change exploration using time series analysis of event sequence data14
In Memoriam — Professor Aditya Ghose13
Knowledge graph-based image classification13
Optimized deep learning-based prediction model for chiller performance prediction13
Combining Specialized Word Embeddings and Subword Semantic Features for Lexical Entailment Recognition13
Neurofuzzy semantic similarity measurement13
Privacy-preserving cross-network service recommendation via federated learning of unified user representations13
An optimization enabled Hierarchical Attention -Deep LSTM model for sentiment analysis on cloth products from customer rating13
An assessment taxonomy for self-adaptation business process solutions13
Editorial Board13
A BERT model and momentum contrastive learning based sequential recommendation method and its implementation13
A knowledge-sharing platform for space resources12
A hierarchical graph-based model for mobility data representation and analysis12
A constructive deep convolutional network model for analyzing video-to-image sequences12
Derived multi-objective function for latency sensitive-based cloud object storage system using hybrid heuristic algorithm12
Editorial Board12
Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability11
Large language models: Expectations for semantics-driven systems engineering11
Ethical reasoning methods for ICT: What they are and when to use them11
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics11
Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation10
Multi-feature classification for fake news detection using multiscale and atrous convolution-based adaptive temporal convolution network10
TEDA-driven adaptive stream clustering for concept drift detection10
Mixed emotion extraction analysis and visualisation of social media text10
Analyzing fuzzy semantics of reviews for multi-criteria recommendations10
Automatic query expansion for enhancing document retrieval system in healthcare application using GAN based embedding and hyper-tuned DAEBERT algorithm10
HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models10
Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout10
Fuzzy-Ontology based knowledge driven disease risk level prediction with optimization assisted ensemble classifier10
SkiQL: A unified schema query language10
Rule-guided process discovery10
An explainable machine learning approach for automated medical decision support of heart disease10
A workload-driven method for designing aggregate-oriented NoSQL databases9
Semantic requirements construction using ontologies and boilerplates9
SSQTKG: A9
A framework for approximate product search using faceted navigation and user preference ranking9
Insights into commonalities of a sample: A visualization framework to explore unusual subset-dataset relationships9
Change pattern relationships in event logs9
RINX: A system for information and knowledge extraction from resumes9
A methodology for the systematic design of storytelling dashboards applied to Industry 4.08
Machine learning for predicting off-block delays: A case study at Paris — Charles de Gaulle International Airport8
Multi-Layer Hybrid (MLH) balancing technique: A combined approach to remove data imbalance8
Ensemble model with combined feature set for Big data classification in IoT scenario8
Retraction notice to “Pollen risk levels prediction from multi-source historical data” [Data Knowl. Eng. 142 (2022) 102096]8
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
Automated sentimental analysis using heuristic-based CNN-BiLSTM for E-commerce dataset8
Event detection with multi-order edge-aware graph convolution networks7
A framework for understanding event abstraction problem solving: Current states of event abstraction studies7
Multi-Granularity History Graph Network for temporal knowledge graph reasoning7
Enhancing clustering stability, compactness, and separation in multimodal data environments7
A conceptual framework for the government big data ecosystem (‘datagov.eco’)7
Modified Hierarchical-Attention Network model for legal judgment predictions7
Fake news detection algorithms – A systematic literature review7
Reinforcement learning for optimizing responses in care processes7
Editorial introduction for special issue on research challenges and practices in conceptual modeling – ER 20237
A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index7
Editorial Board7
On the explanatory power of Boolean decision trees7
Data analytics and knowledge discovery on big data: Algorithms, architectures, and applications7
An extended taxonomy of advanced information visualization and interaction in conceptual modeling7
A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms7
Preface - special issue on conceptual modeling – ER 20227
Editorial Board6
Editorial Board6
Time-aware structure matching for temporal knowledge graph alignment6
Editorial for VSI:NLDB-saarbruecken-20216
Rating scale preferences for accurate recommendations6
Developing A Decision Support System for Healthcare Practices: A Design Science Research Approach6
A parameter-free KNN for rating prediction6
Discovering and evaluating organizational knowledge from textual data: Application to crisis management6
CQuAE: A new Contextualized QUestion Answering corpus on Education domain6
Metaheuristic enabled intelligent model for stock market prediction via integrating volatility spillover: India and its Asian and European counterparts6
Mining Keys for Graphs6
ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian6
Efficiently sampling interval patterns from numerical databases6
Machine learning-based risk prediction model for cardiovascular disease using a hybrid dataset6
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
PoliViews: A comprehensive and modular approach to the conceptual modeling of genomic data5
Goal-oriented modeling and analysis of explanation requirements5
CIAGELP: Clustering Inspired Augmented Graph Embedding based Link Prediction in dynamic networks5
Managerial risk data analytics applications using grey influence analysis (GINA)5
System: A core conceptual modeling construct for capturing complexity5
Outranking Relations based Multi-criteria Recommender System for Analysis of Health Risk using Multi-objective Feature Selection Approach5
Transfer learning and sentiment analysis of Bahraini dialects sequential text data using multilingual deep learning approach5
Editorial Board5
A graph-based model for semantic textual similarity measurement5
Preface5
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
To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data5
Editorial Board5
A-MKMC: An effective adaptive-based multilevel K-means clustering with optimal centroid selection using hybrid heuristic approach for handling the incomplete data4
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
Better than XML: Towards a lexicographic markup language4
MRV-RSA: Developed Modified Random Value Reptile Search Algorithm and Deep Learning based Fraud Detection Model in Banking Sector4
In pursuit of the hidden features of GNN’s internal representations4
Watch out, pothole! featuring road damage detection in an end-to-end system for autonomous driving4
Improving the identification of relevant variants in genome information systems: A methodological approach with a case study on early onset Alzheimer's disease4
A novel approach for Credit-Based Resource Aware Load Balancing algorithm (CB-RALB-SA) for scheduling jobs in cloud computing4
Curvature constrained MPNNs: Improving message passing with local structural properties4
Editorial Board4
Deep attention based optimized Bi-LSTM for improving geospatial data ontology4
Accessibility in conceptual modeling—A systematic literature review, a keyboard-only UML modeling tool, and a research roadmap4
A goal-oriented document-grounded dialogue based on evidence generation4
Editorial Board4
Knowledge graph question generation based on crucial semantic information4
Modelling temporal goals in runtime goal models4
Detecting and repairing anomaly patterns in business process event logs4
AI system architecture design methodology based on IMO (Input-AI Model-Output) structure for successful AI adoption in organizations4
Turning Conceptual Modeling Institutional – The prescriptive role of conceptual models in transforming institutional reality3
Dirigo: A method to extract event logs for object-centric processes3
Topological querying of music scores3
Leveraging an Isolation Forest to Anomaly Detection and Data Clustering3
A survey on big data classification3
Dynamic time warping for classifying long-term trends in time series3
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
Optimized speaker change detection approach for speaker segmentation towards speaker diarization based on deep learning3
Challenges of a Data Ecosystem for scientific data3
SRank: Guiding schema selection in NoSQL document stores3
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
Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approach3
Enhancing the intelligibility of decision trees with concise and reliable probabilistic explanations3
An approach to on-demand extension of multidimensional cubes in multi-model settings: Application to IoT-based agro-ecology3
Issues in inter-organizational data sharing: Findings from practice and research challenges3
Temporal knowledge graph recommendation with sequence-aware and path reasoning3
Data-aware process models: From soundness checking to repair3
Architecture for ontology-supported multi-context reasoning systems3
Global and item-by-item reasoning fusion-based multi-hop KGQA3
French translation of a dialogue dataset and text-based emotion detection3
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