Interactive Ontology Matching with Cost-Efficient Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Cheng, Bin, Fürst, Jonathan, Jacobs, Tobias, Garrido-Hidalgo, Celia |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
by: Stuhlmann, Linus, et al.
Published: (2025)
by: Stuhlmann, Linus, et al.
Published: (2025)
OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models
by: Yue, Songhui, et al.
Published: (2025)
by: Yue, Songhui, et al.
Published: (2025)
Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization
by: Chang, Baoming, et al.
Published: (2025)
by: Chang, Baoming, et al.
Published: (2025)
Text-Based Product Matching -- Semi-Supervised Clustering Approach
by: Martinek, Alicja, et al.
Published: (2024)
by: Martinek, Alicja, et al.
Published: (2024)
Generating $SROI^-$ Ontologies via Knowledge Graph Query Embedding Learning
by: He, Yunjie, et al.
Published: (2024)
by: He, Yunjie, et al.
Published: (2024)
DeepMDV: Global Spatial Matching for Multi-depot Vehicle Routing Problems
by: Nasehi, Saeed, et al.
Published: (2024)
by: Nasehi, Saeed, et al.
Published: (2024)
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)
by: Liang, Zhiyu, et al.
Published: (2025)
TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency
by: Pardo, Fernando de Meer, et al.
Published: (2025)
by: Pardo, Fernando de Meer, et al.
Published: (2025)
eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules
by: Sun, Ye, et al.
Published: (2024)
by: Sun, Ye, et al.
Published: (2024)
CHESS: Contextual Harnessing for Efficient SQL Synthesis
by: Talaei, Shayan, et al.
Published: (2024)
by: Talaei, Shayan, et al.
Published: (2024)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
by: Lin, Xiaotian, et al.
Published: (2025)
by: Lin, Xiaotian, et al.
Published: (2025)
Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
by: Wu, Fangzhou, et al.
Published: (2025)
by: Wu, Fangzhou, et al.
Published: (2025)
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
by: Lai, Zhichen, et al.
Published: (2024)
by: Lai, Zhichen, et al.
Published: (2024)
Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
by: Phan, Hong-Phuc, et al.
Published: (2026)
by: Phan, Hong-Phuc, et al.
Published: (2026)
Data Collection and Labeling Techniques for Machine Learning
by: Huang, Qianyu, et al.
Published: (2024)
by: Huang, Qianyu, et al.
Published: (2024)
A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025)
by: Zhu, Yaoyu, et al.
Published: (2025)
Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)
by: Koschmider, Agnes, et al.
Published: (2023)
Couler: Unified Machine Learning Workflow Optimization in Cloud
by: Wang, Xiaoda, et al.
Published: (2024)
by: Wang, Xiaoda, et al.
Published: (2024)
CAMAL: Optimizing LSM-trees via Active Learning
by: Yu, Weiping, et al.
Published: (2024)
by: Yu, Weiping, et al.
Published: (2024)
Boosting Relational Deep Learning with Pretrained Tabular Models
by: Lachi, Veronica, et al.
Published: (2025)
by: Lachi, Veronica, et al.
Published: (2025)
Why Isn't Relational Learning Taking Over the World?
by: Poole, David
Published: (2025)
by: Poole, David
Published: (2025)
Tabular Foundation Models Can Learn Association Rules
by: Karabulut, Erkan, et al.
Published: (2026)
by: Karabulut, Erkan, et al.
Published: (2026)
RelBench: A Benchmark for Deep Learning on Relational Databases
by: Robinson, Joshua, et al.
Published: (2024)
by: Robinson, Joshua, et al.
Published: (2024)
RelGNN: Composite Message Passing for Relational Deep Learning
by: Chen, Tianlang, et al.
Published: (2025)
by: Chen, Tianlang, et al.
Published: (2025)
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
by: Dwivedi, Vijay Prakash, et al.
Published: (2025)
by: Dwivedi, Vijay Prakash, et al.
Published: (2025)
ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis
by: Manatkar, Abhijit, et al.
Published: (2024)
by: Manatkar, Abhijit, et al.
Published: (2024)
GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning
by: Zhan, Zhentao, et al.
Published: (2025)
by: Zhan, Zhentao, et al.
Published: (2025)
Relational In-Context Learning via Synthetic Pre-training with Structural Prior
by: Wang, Yanbo, et al.
Published: (2026)
by: Wang, Yanbo, et al.
Published: (2026)
Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
by: Yin, Jun, et al.
Published: (2026)
by: Yin, Jun, et al.
Published: (2026)
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
by: Cui, Lingxi, et al.
Published: (2024)
by: Cui, Lingxi, et al.
Published: (2024)
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
by: Khatiwada, Aamod, et al.
Published: (2024)
by: Khatiwada, Aamod, et al.
Published: (2024)
DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree
by: Zhuang, Zhutao, et al.
Published: (2024)
by: Zhuang, Zhutao, et al.
Published: (2024)
Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and Experiments
by: Gao, Jianyang, et al.
Published: (2026)
by: Gao, Jianyang, et al.
Published: (2026)
A Latent Risk-Aware Machine Learning Approach for Predicting Operational Success in Clinical Trials based on TrialsBank
by: Halimi, Iness, et al.
Published: (2026)
by: Halimi, Iness, et al.
Published: (2026)
QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction
by: Winker, Tobias, et al.
Published: (2025)
by: Winker, Tobias, et al.
Published: (2025)
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
by: Xu, Yongqin, et al.
Published: (2024)
by: Xu, Yongqin, et al.
Published: (2024)
Open Ontologies: Tool-Augmented Ontology Engineering with Stable Matching Alignment
by: Rovai, Fabio
Published: (2026)
by: Rovai, Fabio
Published: (2026)
Top Ten Challenges Towards Agentic Neural Graph Databases
by: Bai, Jiaxin, et al.
Published: (2025)
by: Bai, Jiaxin, et al.
Published: (2025)
PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database
by: Sun, Hui, et al.
Published: (2025)
by: Sun, Hui, et al.
Published: (2025)
Similar Items
-
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
by: Stuhlmann, Linus, et al.
Published: (2025) -
OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models
by: Yue, Songhui, et al.
Published: (2025) -
Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization
by: Chang, Baoming, et al.
Published: (2025) -
Text-Based Product Matching -- Semi-Supervised Clustering Approach
by: Martinek, Alicja, et al.
Published: (2024) -
Generating $SROI^-$ Ontologies via Knowledge Graph Query Embedding Learning
by: He, Yunjie, et al.
Published: (2024)