| Kelpie: an Explainability Framework for Embedding-based Link Prediction Models. | 0 | 0.34 | 2022 |
| Explaining Link Prediction Systems based on Knowledge Graph Embeddings | 1 | 0.35 | 2022 |
| Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library | 0 | 0.34 | 2022 |
| CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. | 0 | 0.34 | 2022 |
| Kelpie: an Explainability Framework for Embedding-based Link Prediction Models. | 0 | 0.34 | 2022 |
| CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA. | 0 | 0.34 | 2022 |
| Effective Explanations for Entity Resolution Models | 0 | 0.34 | 2022 |
| NOAH - Creating Data Integration Pipelines over Continuously Extracted Web Data. | 0 | 0.34 | 2021 |
| In Codice Ratio: A crowd-enabled solution for low resource machine transcription of the Vatican Registers | 0 | 0.34 | 2021 |
| NOAH: Creating Data Integration Pipelines over Continuously Extracted Web Data. | 0 | 0.34 | 2021 |
| Knowledge Graph Embedding for Link Prediction: A Comparative Analysis | 5 | 0.46 | 2021 |
| Crowdsourcing for Building Knowledge Graphs at Scale from the Vatican Archives. | 0 | 0.34 | 2020 |
| Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, DI2KG@VLDB 2020, Tokyo, Japan, August 31, 2020. | 0 | 0.34 | 2020 |
| In Codice Ratio - Machine Transcription of Medieval Manuscripts. | 0 | 0.34 | 2019 |
| Interpreting deep learning models for entity resolution: an experience report using LIME | 1 | 0.38 | 2019 |
| Hybrid Crowd-Machine Wrapper Inference | 0 | 0.34 | 2019 |
| Multikernel Activation Functions - Formulation and a Case Study. | 0 | 0.34 | 2019 |
| Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), Anchorage, Alaska, August 5, 2019. | 0 | 0.34 | 2019 |
| Ethics-aware Data Governance (Vision Paper). | 0 | 0.34 | 2018 |
| Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio - Episode 1: Machine Transcription of the Manuscripts. | 2 | 0.39 | 2018 |
| Towards Annotating Relational Data on the Web with Language Models. | 0 | 0.34 | 2018 |
| Lessons Learned and Research Agenda for Big Data Integration of Product Specifications. | 0 | 0.34 | 2018 |
| Big Data Linkage for Product Specification Pages. | 0 | 0.34 | 2018 |
| Big Data Integration for Product Specifications. | 0 | 0.34 | 2018 |
| In Codice Ratio: OCR of Handwritten Latin Documents using Deep Convolutional Networks. | 0 | 0.34 | 2017 |
| In Codice Ratio: Scalable Transcription of Historical Handwritten Documents. | 0 | 0.34 | 2017 |
| In Codice Ratio: Scalable Transcription of Vatican Registers. | 0 | 0.34 | 2017 |
| Crowdsourcing for data management. | 2 | 0.36 | 2017 |
| Accurate fact harvesting from natural language text in wikipedia with Lector. | 1 | 0.35 | 2016 |
| The Startup Ecosystem: a Quick Tour. | 0 | 0.34 | 2015 |
| Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future | 3 | 0.37 | 2015 |
| Crowdsourcing large scale wrapper inference | 9 | 0.43 | 2015 |
| Knowledge Base Augmentation using Tabular Data. | 11 | 0.62 | 2014 |
| Web-Scale Extension of RDF Knowledge Bases from Templated Websites | 3 | 0.38 | 2014 |
| Extraction and integration of partially overlapping web sources | 19 | 0.69 | 2013 |
| Extraction and Integration of Partially Overlapping Web Sources. | 0 | 0.34 | 2013 |
| A framework for learning web wrappers from the crowd | 17 | 0.70 | 2013 |
| ALFRED: crowd assisted data extraction | 3 | 0.42 | 2013 |
| Wrapper Generation Supervised by a Noisy Crowd. | 6 | 0.42 | 2013 |
| Web data reconciliation: models and experiences | 2 | 0.38 | 2012 |
| Automatic evaluation of relation extraction systems on large-scale | 4 | 0.46 | 2012 |
| Minimizing the Costs of the Training Data for Learning Web Wrappers. | 3 | 0.40 | 2012 |
| Characterizing the uncertainty of web data: models and experiences | 1 | 0.35 | 2011 |
| Wrapper Generation for Overlapping Web Sources | 0 | 0.34 | 2011 |
| Automatically building probabilistic databases from the web | 1 | 0.36 | 2011 |
| Contextual Data Extraction and Instance-Based Integration. | 0 | 0.34 | 2011 |
| Redundancy-driven web data extraction and integration | 10 | 0.56 | 2010 |
| Probabilistic Reconciliation of Records from Inaccurate Web Sources (Extended Abstract). | 0 | 0.34 | 2010 |
| Exploiting information redundancy to wring out structured data from the web | 5 | 0.43 | 2010 |
| Probabilistic models to reconcile complex data from inaccurate data sources | 28 | 1.71 | 2010 |
