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 2021-06-01 to 2025-06-01.)
ArticleCitations
Editorial63
On efficient top-k transaction path query processing in blockchain database46
Convolutional neural network-based high-precision and speed detection system on CIDDS-00141
Multi-level conceptual modeling: Theory, language and application39
The power and potentials of Flexible Query Answering Systems: A critical and comprehensive analysis37
Blockchain-based ontology driven reference framework for security risk management35
Providing healthcare shopping advice through knowledge-based virtual agents34
From base data to knowledge discovery – A life cycle approach – Using multilayer networks34
Static and dynamic techniques for iterative test-driven modelling of Dynamic Condition Response Graphs33
How to build data-driven Strategy Maps? A methodological framework proposition32
Editorial Board32
Generating multiple conceptual models from behavior-driven development scenarios30
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses28
ROSI: A hybrid solution for omni-channel feature integration in E-commerce27
Unraveling the foundations and the evolution of conceptual modeling—Intellectual structure, current themes, and trajectories27
A transformer-based neural network framework for full names prediction with abbreviations and contexts26
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification25
Enhancing the convolution-based knowledge graph embeddings by increasing dimension-wise interactions25
A design theory for data quality tools in data ecosystems: Findings from three industry cases25
Evaluating quality of ontology-driven conceptual models abstractions25
Reasoning on responsibilities for optimal process alignment computation24
Graph data temporal evolutions: From conceptual modelling to implementation21
Fusion learning of preference and bias from ratings and reviews for item recommendation20
Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysis20
Editorial Board19
Editorial Board18
Editorial Board18
Corrigendum to “Mining Closed High Utility Itemsets based on Propositional Satisfiability” [Data Knowl. Eng. 136C (2021) 101927]18
SimBio: Adopting Particle Swarm Optimization for ontology-based biomedical term similarity assessment18
Big Data Analytics and Knowledge Discovery17
Ontologically correct taxonomies by construction17
AStar: A modeling language for document-oriented geospatial data warehouses17
Integrating Character-level and Word-level Representation for Affect in Arabic Tweets16
Capturing and Analysing Employee Behaviour: An Honest Day’s Work Record14
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step14
A feature selection method based on term frequency difference and positive weighting factor14
Explanation, semantics, and ontology13
Types and taxonomic structures in conceptual modeling: A novel ontological theory and engineering support13
ISO/IEC 25012-based methodology for managing data quality requirements in the development of information systems: Towards Data Quality by Design13
How well can a large language model explain business processes as perceived by users?13
BT-CKBQA: An efficient approach for Chinese knowledge base question answering13
Ontology-based semantic retrieval of documents using Word2vec model13
A conceptual model supporting decision-making for test automation in Agile-based Software Development13
Decisive skyline queries for truly balancing multiple criteria13
LEAPME: Learning-based Property Matching with Embeddings13
Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns13
A core ontology on the Human–Computer Interaction phenomenon12
Enhancing item-based collaborative filtering by users’ similarities injection and low-quality data handling12
Knowledge graph-based image classification11
An assessment taxonomy for self-adaptation business process solutions11
Enhancing classification capacity of CNN models with deep feature selection and fusion: A case study on maize seed classification11
In Memoriam — Professor Aditya Ghose11
VarClaMM: A reference meta-model to understand DNA variant classification11
Editorial Board11
Corrigendum to “An efficient integer coding index algorithm for multi-scale time information management” [Data Knowl. Eng. 119 (2019) 123–138]11
An enhanced attentive implicit relation embedding for social recommendation11
Neurofuzzy semantic similarity measurement10
Editorial Board10
Modeling metadata in data lakes—A generic model10
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics10
Process model forecasting and change exploration using time series analysis of event sequence data10
An ontological analysis of software system anomalies and their associated risks9
A knowledge-sharing platform for space resources9
Optimized deep learning-based prediction model for chiller performance prediction9
Fuzzy-Ontology based knowledge driven disease risk level prediction with optimization assisted ensemble classifier9
Location-privacy preserving partial nearby friends querying in urban areas9
A hierarchical graph-based model for mobility data representation and analysis9
Ethical reasoning methods for ICT: What they are and when to use them9
RINX: A system for information and knowledge extraction from resumes9
A constructive deep convolutional network model for analyzing video-to-image sequences9
Large language models: Expectations for semantics-driven systems engineering9
Combining Specialized Word Embeddings and Subword Semantic Features for Lexical Entailment Recognition9
Semantic requirements construction using ontologies and boilerplates9
Analysis and evaluation of document-oriented structures9
An explainable machine learning approach for automated medical decision support of heart disease8
Change pattern relationships in event logs8
Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout8
A framework for approximate product search using faceted navigation and user preference ranking8
Mixed emotion extraction analysis and visualisation of social media text8
Analyzing fuzzy semantics of reviews for multi-criteria recommendations8
HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models8
Automatic Query Expansion for Enhancing Document Retrieval System in Healthcare application using GAN Based Embedding and Hyper-tuned DAEBERT Algorithm8
SkiQL: A unified schema query language8
Insights into commonalities of a sample: A visualization framework to explore unusual subset-dataset relationships7
Automated sentimental analysis using heuristic-based CNN-BiLSTM for E-commerce dataset7
Modified Hierarchical-Attention Network model for legal judgment predictions7
A framework for understanding event abstraction problem solving: Current states of event abstraction studies7
Selecting databases for Polyglot Persistence applications7
Machine learning for predicting off-block delays: A case study at Paris — Charles de Gaulle International Airport7
SSQTKG: A7
Retraction notice to “Pollen risk levels prediction from multi-source historical data” [Data Knowl. Eng. 142 (2022) 102096]7
Preface7
Editorial Board7
A methodology for the systematic design of storytelling dashboards applied to Industry 4.07
A workload-driven method for designing aggregate-oriented NoSQL databases7
Multi-Layer Hybrid (MLH) balancing technique: A combined approach to remove data imbalance7
Data analytics and knowledge discovery on big data: Algorithms, architectures, and applications7
On the explanatory power of Boolean decision trees7
Event detection with multi-order edge-aware graph convolution networks6
Editorial Board6
Sense, Transform & Send for the Internet of Things (STS4IoT): UML profile for data-centric IoT applications6
A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index6
OFES: Optimal feature evaluation and selection for multi-class classification6
Preface - special issue on conceptual modeling – ER 20226
A conceptual framework for the government big data ecosystem (‘datagov.eco’)6
Mining high utility patterns in interval-based event sequences6
Reinforcement learning for optimizing responses in care processes6
A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms6
An extended taxonomy of advanced information visualization and interaction in conceptual modeling6
The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers5
Editorial for VSI:NLDB-saarbruecken-20215
Discovering and evaluating organizational knowledge from textual data: Application to crisis management5
Metaheuristic enabled intelligent model for stock market prediction via integrating volatility spillover: India and its Asian and European counterparts5
CQuAE: A new Contextualized QUestion Answering corpus on Education domain5
Aligning and linking entity mentions in image, text, and knowledge base5
A parameter-free KNN for rating prediction5
Rating scale preferences for accurate recommendations5
DBHC: A DBSCAN-based hierarchical clustering algorithm5
Mining Keys for Graphs5
Time-aware structure matching for temporal knowledge graph alignment5
Managing polyglot systems metadata with hypergraphs4
Preface4
Leveraging relevant summarized information and multi-layer classification to generalize the detection of misleading headlines4
System: A core conceptual modeling construct for capturing complexity4
Transfer learning and sentiment analysis of Bahraini dialects sequential text data using multilingual deep learning approach4
Machine learning-based risk prediction model for cardiovascular disease using a hybrid dataset4
Developing A Decision Support System for Healthcare Practices: A Design Science Research Approach4
Ontology-driven evolution of software security4
Outranking Relations based Multi-criteria Recommender System for Analysis of Health Risk using Multi-objective Feature Selection Approach4
Modelling and solving industrial production tasks as planning-scheduling tasks4
Editorial Board4
A novel hybrid approach for text encoding: Cognitive Attention To Syntax model to detect online misinformation4
PoliViews: A comprehensive and modular approach to the conceptual modeling of genomic data4
Robotic process automation using process mining — A systematic literature review4
AI system architecture design methodology based on IMO (Input-AI Model-Output) structure for successful AI adoption in organizations3
CIAGELP: Clustering Inspired Augmented Graph Embedding based Link Prediction in dynamic networks3
A goal-oriented document-grounded dialogue based on evidence generation3
To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data3
Editorial Board3
Modelling temporal goals in runtime goal models3
Watch out, pothole! featuring road damage detection in an end-to-end system for autonomous driving3
Global and item-by-item reasoning fusion-based multi-hop KGQA3
Enhancing the intelligibility of decision trees with concise and reliable probabilistic explanations3
Editorial Board3
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) 1020923
In pursuit of the hidden features of GNN’s internal representations3
Self-adaptation in smartphone applications: Current state-of-the-art techniques, challenges, and future directions3
Curvature constrained MPNNs: Improving message passing with local structural properties3
Editorial Board3
Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index3
Managerial risk data analytics applications using grey influence analysis (GINA)3
Deep attention based optimized Bi-LSTM for improving geospatial data ontology3
Better than XML: Towards a lexicographic markup language3
Optimized speaker change detection approach for speaker segmentation towards speaker diarization based on deep learning2
Chinese named-entity recognition via self-attention mechanism and position-aware influence propagation embedding2
Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approach2
An approach to on-demand extension of multidimensional cubes in multi-model settings: Application to IoT-based agro-ecology2
Topological querying of music scores2
Data-aware process models: From soundness checking to repair2
Turning Conceptual Modeling Institutional – The prescriptive role of conceptual models in transforming institutional reality2
Architecture for ontology-supported multi-context reasoning systems2
Evolution management in multi-model databases2
Blockchain based Securing Medical Records in Big Data Analytics2
FaNDS: Fake News Detection System using energy flow2
A novel approach for Credit-Based Resource Aware Load Balancing algorithm (CB-RALB-SA) for scheduling jobs in cloud computing2
Challenges of a Data Ecosystem for scientific data2
Leveraging an Isolation Forest to Anomaly Detection and Data Clustering2
SRank: Guiding schema selection in NoSQL document stores2
French translation of a dialogue dataset and text-based emotion detection2
Improving the identification of relevant variants in genome information systems: A methodological approach with a case study on early onset Alzheimer's disease2
A-MKMC: An effective adaptive-based multilevel K-means clustering with optimal centroid selection using hybrid heuristic approach for handling the incomplete data2
Effective healthcare service recommendation with network representation learning: A recursive neural network approach2
A survey on big data classification2
Preface2
Issues in inter-organizational data sharing: Findings from practice and research challenges2
Anomaly explanation: A review2
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