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ORCIDPaolo Papotti
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- affiliation: EURECOM, Campus SophiaTech, France
- affiliation (former): Arizona State University, USA
- affiliation (former): Roma Tre University, Rome, Italy
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2020 – today
- 2024
[j44]Giansalvatore Mecca
, Paolo Papotti, Donatello Santoro, Enzo Veltri:
BUNNI: Learning Repair Actions in Rule-driven Data Cleaning. ACM J. Data Inf. Qual. 16(2): 12:1-12:31 (2024)- [c95]Riccardo Cappuzzo, Saravanan Thirumuruganathan, Paolo Papotti:
Relational Data Imputation with Graph Neural Networks. EDBT 2024: 221-233 - [c94]Mohammed Saeed, Nicola De Cao, Paolo Papotti:
Querying Large Language Models with SQL. EDBT 2024: 365-372 - [c93]Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro, Enzo Veltri:
Similarity Measures For Incomplete Database Instances. EDBT 2024: 461-473 - [c92]Simone Papicchio, Paolo Papotti, Luca Cagliero:
Evaluating Ambiguous Questions in Semantic Parsing. ICDEW 2024: 338-342 - [c91]Paolo Papotti:
Large Language Models as Storage for SQL Querying. ICDE 2024: 5657-5658 - [c90]Jean-Flavien Bussotti, Paolo Papotti, Donatello Santoro, Enzo Veltri:
A Framework for the Generation of Training Examples from Tabular Data. SEBD 2024: 302-311 - [c89]Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro, Enzo Veltri:
Comparing Incomplete Database Instances. SEBD 2024: 489-507 - [c88]Youri Peskine, Raphaël Troncy, Paolo Papotti:
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques. SemEval@NAACL 2024: 1177-1182 - [i15]Riccardo Cappuzzo, Gaël Varoquaux, Aimee Coelho, Paolo Papotti:
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes. CoRR abs/2402.06282 (2024) - [i14]Giulio Corallo, Paolo Papotti:
Finch: Prompt-guided Key-Value Cache Compression. CoRR abs/2408.00167 (2024) - 2023
- [j43]Dustin Wright, Paolo Papotti, Isabelle Augenstein:
Introduction to the Special Issue on Truth and Trust Online. ACM J. Data Inf. Qual. 15(1): 1:1-1:3 (2023) - [j42]Rajesh Shrestha, Omeed Habibelahian, Arash Termehchy, Paolo Papotti:
Exploratory Training: When Annonators Learn About Data. Proc. ACM Manag. Data 1(2): 135:1-135:25 (2023) - [j41]Jean-Flavien Bussotti, Enzo Veltri, Donatello Santoro, Paolo Papotti:
Generation of Training Examples for Tabular Natural Language Inference. Proc. ACM Manag. Data 1(4): 243:1-243:27 (2023) - [j40]Gilbert Badaro, Mohammed Saeed, Paolo Papotti:
Transformers for Tabular Data Representation: A Survey of Models and Applications. Trans. Assoc. Comput. Linguistics 11: 227-249 (2023) - [c87]Youri Peskine, Damir Korencic, Ivan Grubisic, Paolo Papotti, Raphaël Troncy, Paolo Rosso:
Definitions Matter: Guiding GPT for Multi-label Classification. EMNLP (Findings) 2023: 4054-4063 - [c86]Enzo Veltri, Gilbert Badaro, Mohammed Saeed, Paolo Papotti:
Data Ambiguity Profiling for the Generation of Training Examples. ICDE 2023: 450-463 - [c85]Rishi Advani, Paolo Papotti, Abolfazl Asudeh:
Maximizing Neutrality in News Ordering. KDD 2023: 11-24 - [c84]Muhammad Shujaat Mirza, Labeeba Begum, Liang Niu, Sarah Pardo, Azza Abouzied, Paolo Papotti, Christina Pöpper:
Tactics, Threats & Targets: Modeling Disinformation and its Mitigation. NDSS 2023 - [c83]Simone Papicchio, Paolo Papotti, Luca Cagliero:
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data. NeurIPS 2023 - [c82]Enzo Veltri, Gilbert Badaro, Mohammed Saeed, Paolo Papotti:
Attribute Ambiguity Discovery: A Deep Learning Approach via Unsupervised Learning. SEBD 2023: 479-487 - [c81]Madelon Hulsebos, Xiang Deng, Huan Sun, Paolo Papotti:
Models and Practice of Neural Table Representations. SIGMOD Conference Companion 2023: 83-89 - [c80]Lluís Garcia Pueyo, Panayiotis Tsaparas, Prathyusha Senthil Kumar, Timos Sellis, Paolo Papotti, Sibel Adali, Giuseppe Manco, Tudor Trufinescu, Gireeja Ranade, James R. Verbus, Mehmet N. Tek, Anthony McCosker:
Integrity 2023: Integrity in Social Networks and Media. WSDM 2023: 1269-1270 - [c79]Luca Righes, Mohammed Saeed, Gianluca Demartini, Paolo Papotti:
The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice? WWW (Companion Volume) 2023: 172-175 - [c78]Youri Peskine, Raphaël Troncy, Paolo Papotti:
Analyzing COVID-Related Social Discourse on Twitter using Emotion, Sentiment, Political Bias, Stance, Veracity and Conspiracy Theories. WWW (Companion Volume) 2023: 688-693 - [i13]Mohammed Saeed, Nicola De Cao, Paolo Papotti:
Querying Large Language Models with SQL. CoRR abs/2304.00472 (2023) - [i12]Rishi Advani, Paolo Papotti, Abolfazl Asudeh:
Maximizing Neutrality in News Ordering. CoRR abs/2305.15790 (2023) - [i11]Kensuke Mitsuzawa, Motonobu Kanagawa, Stefano Bortoli, Margherita Grossi, Paolo Papotti:
Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison. CoRR abs/2311.01537 (2023) - 2022
- [j39]Donatello Santoro, Saravanan Thirumuruganathan, Paolo Papotti:
Editorial: Special Issue on Deep Learning for Data Quality. ACM J. Data Inf. Qual. 14(3): 14:1-14:3 (2022) - [j38]Gilbert Badaro, Paolo Papotti:
Transformers for Tabular Data Representation: A Tutorial on Models and Applications. Proc. VLDB Endow. 15(12): 3746-3749 (2022) - [j37]Paolo Papotti:
Technical Perspective of TURL: Table Understanding through Representation Learning. SIGMOD Rec. 51(1): 32 (2022) - [c77]Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, Paolo Papotti:
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? CIKM 2022: 1736-1746 - [c76]Naser Ahmadi, Hansjorg Sand, Paolo Papotti:
Building A Knowledge Graph for Audit Information. EDBT/ICDT Workshops 2022 - [c75]Mohammed Saeed, Paolo Papotti:
You Are My Type! Type Embeddings for Pre-trained Language Models. EMNLP (Findings) 2022: 4583-4598 - [c74]Naser Ahmadi, Hansjorg Sand, Paolo Papotti:
Unsupervised Matching of Data and Text. ICDE 2022: 1058-1070 - [c73]Youri Peskine, Paolo Papotti, Raphaël Troncy:
Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques. MediaEval 2022 - [c72]Enzo Veltri, Donatello Santoro, Gilbert Badaro, Mohammed Saeed, Paolo Papotti:
Ambiguity Detection and Textual Claims Generation from Relational Data. SEBD 2022: 333-340 - [c71]Omeed Habibelahian, Rajesh Shrestha, Arash Termehchy, Paolo Papotti:
Exploratory training: when trainers learn. HILDA@SIGMOD 2022: 3:1-3:5 - [c70]Enzo Veltri, Donatello Santoro, Gilbert Badaro, Mohammed Saeed, Paolo Papotti:
Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data. SIGMOD Conference 2022: 2409-2412 - [i10]Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, Paolo Papotti:
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? CoRR abs/2208.09214 (2022) - [i9]Lluís Garcia Pueyo, Panayiotis Tsaparas, Anand Bhaskar, Prathyusha Senthil Kumar, Roelof van Zwol, Timos Sellis, Anthony McCosker, Paolo Papotti:
Integrity 2022: Integrity in Social Networks and Media. CoRR abs/2209.11867 (2022) - 2021
- [j36]Mohammed Saeed, Paolo Papotti:
Fact-Checking Statistical Claims with Tables. IEEE Data Eng. Bull. 44(3): 27-38 (2021) - [c69]Paolo Papotti:
Data Challenges in Disinformation Diffusion Analysis. EDBT/ICDT Workshops 2021 - [c68]Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models. EMNLP (1) 2021: 1460-1476 - [c67]Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. IJCAI 2021: 4551-4558 - [c66]Rayhane Rezgui, Mohammed Saeed, Paolo Papotti:
Automatic Verification of Data Summaries. INLG 2021: 271-275 - [c65]Youri Peskine, Giulio Alfarano, Ismail Harrando, Paolo Papotti, Raphaël Troncy:
Detecting COVID-19-Related Conspiracy Theories in Tweets. MediaEval 2021 - [c64]Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
EmbDI: Generating Embeddings for Relational Data Integration (Discussion Paper). SEBD 2021: 331-338 - [c63]Naser Ahmadi, Paolo Papotti:
Wikidata Logical Rules and Where to Find Them. WWW (Companion Volume) 2021: 580-581 - [c62]Michael Loster, Davide Mottin, Paolo Papotti, Jan Ehmüller, Benjamin Feldmann, Felix Naumann:
Few-Shot Knowledge Validation using Rules. WWW 2021: 3314-3324 - [c61]Paolo Papotti:
Computational Fact Checking is Real, but will it Stop Misinformation? (Extended Abstract). MISINFO@WWW 2021 - [e2]Isabelle Augenstein, Paolo Papotti, Dustin Wright:
Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), Virtual, October 7-8, 2021. Hacks Hackers 2021 [contents] - [i8]Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. CoRR abs/2103.07769 (2021) - [i7]Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBert: Teaching Soft Rules to Pre-trained Language Models. CoRR abs/2109.13006 (2021) - [i6]Naser Ahmadi, Hansjorg Sand, Paolo Papotti:
Unsupervised Matching of Data and Text. CoRR abs/2112.08776 (2021) - 2020
- [j35]Naser Ahmadi, Viet-Phi Huynh, Venkata Vamsikrishna Meduri, Stefano Ortona, Paolo Papotti:
Mining Expressive Rules in Knowledge Graphs. ACM J. Data Inf. Qual. 12(2): 8:1-8:27 (2020) - [j34]Naser Ahmadi, Thi-Thuy-Duyen Truong, Le-Hong-Mai Dao, Stefano Ortona, Paolo Papotti:
RuleHub: A Public Corpus of Rules for Knowledge Graphs. ACM J. Data Inf. Qual. 12(4): 21:1-21:22 (2020) - [j33]Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer:
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. Proc. VLDB Endow. 13(11): 2508-2521 (2020) - [j32]Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer:
Scrutinizer: Fact Checking Statistical Claims. Proc. VLDB Endow. 13(12): 2965-2968 (2020) - [j31]Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida:
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49(2): 30-35 (2020) - [j30]Floris Geerts, Giansalvatore Mecca, Paolo Papotti, Donatello Santoro:
Cleaning data with Llunatic. VLDB J. 29(4): 867-892 (2020) - [c60]Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi:
LIBRE: Learning Interpretable Boolean Rule Ensembles. AISTATS 2020: 245-255 - [c59]Kim-Hung Le, Paolo Papotti:
User-driven Error Detection for Time Series with Events. ICDE 2020: 745-757 - [c58]Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. SIGMOD Conference 2020: 1335-1349 - [i5]Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer:
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. CoRR abs/2003.06708 (2020)
2010 – 2019
- 2019
- [j29]Paolo Atzeni, Luigi Bellomarini, Paolo Papotti, Riccardo Torlone:
Meta-Mappings for Schema Mapping Reuse. Proc. VLDB Endow. 12(5): 557-569 (2019) - [j28]Viet-Phi Huynh, Paolo Papotti:
Buckle: Evaluating Fact Checking Algorithms Built on Knowledge Bases. Proc. VLDB Endow. 12(12): 1798-1801 (2019) - [c57]Viet-Phi Huynh, Paolo Papotti:
A Benchmark for Fact Checking Algorithms Built on Knowledge Bases. CIKM 2019: 689-698 - [c56]Paolo Atzeni, Luigi Bellomarini, Paolo Papotti, Riccardo Torlone:
GAIA: A Framework for Schema Mapping Reuse (extended abstract). SEBD 2019 - [c55]Naser Ahmadi, Joohyung Lee, Paolo Papotti, Mohammed Saeed:
Explainable Fact Checking with Probabilistic Answer Set Programming. TTO 2019 - [e1]Paolo Papotti:
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019. CEUR Workshop Proceedings 2322, CEUR-WS.org 2019 [contents] - [r2]Paolo Papotti:
Schema Mapping. Encyclopedia of Big Data Technologies 2019 - [r1]Paolo Papotti, Donatello Santoro:
Data Integration. Encyclopedia of Big Data Technologies 2019 - [i4]Naser Ahmadi, Joohyung Lee, Paolo Papotti, Mohammed Saeed:
Explainable Fact Checking with Probabilistic Answer Set Programming. CoRR abs/1906.09198 (2019) - [i3]Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan:
Local Embeddings for Relational Data Integration. CoRR abs/1909.01120 (2019) - [i2]Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi:
LIBRE: Learning Interpretable Boolean Rule Ensembles. CoRR abs/1911.06537 (2019) - 2018
- [j27]Divy Agrawal, Sanjay Chawla, Bertty Contreras-Rojas, Ahmed K. Elmagarmid, Yasser Idris, Zoi Kaoudi, Sebastian Kruse, Ji Lucas, Essam Mansour, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Saravanan Thirumuruganathan, Anis Troudi:
RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -. Proc. VLDB Endow. 11(11): 1414-1427 (2018) - [j26]Stefano Ortona, Venkata Vamsikrishna Meduri, Paolo Papotti:
RuDiK: Rule Discovery in Knowledge Bases. Proc. VLDB Endow. 11(12): 1946-1949 (2018) - [c54]Stefano Ortona, Venkata Vamsikrishna Meduri, Paolo Papotti:
Robust Discovery of Positive and Negative Rules in Knowledge Bases. ICDE 2018: 1168-1179 - [c53]Donatello Santoro, Patricia C. Arocena, Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti:
Let's Make It Dirty with BART! SEBD 2018 - [c52]Viet-Phi Huynh, Paolo Papotti:
Towards a Benchmark for Fact Checking with Knowledge Bases. WWW (Companion Volume) 2018: 1595-1598 - [p4]Giansalvatore Mecca, Paolo Papotti, Donatello Santoro:
Schema Mappings: From Data Translation to Data Cleaning. A Comprehensive Guide Through the Italian Database Research 2018: 203-217 - 2017
- [j25]Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis:
Errata for "Lightning Fast and Space Efficient Inequality Joins" (PVLDB 8(13): 2074-2085). Proc. VLDB Endow. 10(9): 985 (2017) - [j24]Rohit Singh, Venkata Vamsikrishna Meduri, Ahmed K. Elmagarmid, Samuel Madden, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Armando Solar-Lezama, Nan Tang:
Synthesizing Entity Matching Rules by Examples. Proc. VLDB Endow. 11(2): 189-202 (2017) - [j23]Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis:
Fast and scalable inequality joins. VLDB J. 26(1): 125-150 (2017) - [c51]Nikhil Vementala, Paolo Papotti, Mohamed Sarwat:
A Framework for Interactive Geospatial Map Cleaning using GPS Trajectories. IWCTS@SIGSPATIAL 2017: 19-23 - [c50]Michael Benedikt, George Konstantinidis, Giansalvatore Mecca, Boris Motik, Paolo Papotti, Donatello Santoro, Efthymia Tsamoura:
Benchmarking the Chase. PODS 2017: 37-52 - [c49]Enzo Veltri, Donatello Santoro, Giansalvatore Mecca, Paolo Papotti, Jian He, Gouliang Li, Nan Tang:
Interactive Data Repairing: the FALCON Dive. SEBD 2017: 267 - [c48]Rohit Singh, Venkata Vamsikrishna Meduri, Ahmed K. Elmagarmid, Samuel Madden, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Armando Solar-Lezama, Nan Tang:
Generating Concise Entity Matching Rules. SIGMOD Conference 2017: 1635-1638 - [i1]Fnu Suya, Yuan Tian, David Evans, Paolo Papotti:
Query-limited Black-box Attacks to Classifiers. CoRR abs/1712.08713 (2017) - 2016
- [j22]Patricia C. Arocena, Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro:
Benchmarking Data Curation Systems. IEEE Data Eng. Bull. 39(2): 47-62 (2016) - [j21]Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang:
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9(12): 993-1004 (2016) - [c47]Divy Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid, Zoi Kaoudi, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki:
Road to Freedom in Big Data Analytics. EDBT 2016: 479-484 - [c46]Paolo Papotti:
Data quality between promises and results. ICDE Workshops 2016: 200 - [c45]Ziawasch Abedjan, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker:
DataXFormer: A robust transformation discovery system. ICDE 2016: 1134-1145 - [c44]Shazia W. Sadiq, Paolo Papotti:
Big data quality - whose problem is it? ICDE 2016: 1446-1447 - [c43]Venkata Vamsikrishna Meduri, Paolo Papotti:
Towards User-Aware Rule Discovery. ISIP 2016: 3-17 - [c42]Jian He, Enzo Veltri, Donatello Santoro, Guoliang Li, Giansalvatore Mecca, Paolo Papotti, Nan Tang:
Interactive and Deterministic Data Cleaning. SIGMOD Conference 2016: 893-907 - [c41]Divy Agrawal, Mouhamadou Lamine Ba, Laure Berti-Équille, Sanjay Chawla, Ahmed K. Elmagarmid, Hossam Hammady, Yasser Idris, Zoi Kaoudi, Zuhair Khayyat, Sebastian Kruse, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki:
Rheem: Enabling Multi-Platform Task Execution. SIGMOD Conference 2016: 2069-2072 - [c40]Donatello Santoro, Patricia C. Arocena, Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti:
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems. SIGMOD Conference 2016: 2161-2164 - 2015
- [j20]Paolo Missier, Paolo Papotti:
Editorial. ACM J. Data Inf. Qual. 5(3): 8:1-8:4 (2015) - [j19]Xu Chu, Mourad Ouzzani, John Morcos, Ihab F. Ilyas, Paolo Papotti, Nan Tang, Yin Ye:
KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing. Proc. VLDB Endow. 8(12): 1952-1955 (2015) - [j18]Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis:
Lightning Fast and Space Efficient Inequality Joins. Proc. VLDB Endow. 8(13): 2074-2085 (2015) - [j17]Patricia C. Arocena, Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro:
Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms. Proc. VLDB Endow. 9(2): 36-47 (2015) - [j16]Ziawasch Abedjan, Cuneyt Gurcan Akcora, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker:
Temporal Rules Discovery for Web Data Cleaning. Proc. VLDB Endow. 9(4): 336-347 (2015) - [c39]Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani:
Dataxformer: Leveraging the Web for Semantic Transformations. CIDR 2015 - [c38]Sebastian Kruse, Paolo Papotti, Felix Naumann:
Estimating Data Integration and Cleaning Effort. EDBT 2015: 61-72 - [c37]Paolo Papotti:
Beyond Declarative Data Cleaning. SEBD 2015: 2 - [c36]John Morcos, Ziawasch Abedjan, Ihab Francis Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker:
DataXFormer: An Interactive Data Transformation Tool. SIGMOD Conference 2015: 883-888 - [c35]Zuhair Khayyat, Ihab F. Ilyas, Alekh Jindal, Samuel Madden, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Si Yin:
BigDansing: A System for Big Data Cleansing. SIGMOD Conference 2015: 1215-1230 - [c34]Xu Chu, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, Yin Ye:
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing. SIGMOD Conference 2015: 1247-1261 - 2014
- [j15]Floris Geerts, Giansalvatore Mecca, Paolo Papotti, Donatello Santoro:
That's All Folks! LLUNATIC Goes Open Source. Proc. VLDB Endow. 7(13): 1565-1568 (2014) - [c33]Floris Geerts, Giansalvatore Mecca, Paolo Papotti, Donatello Santoro:
Mapping and cleaning. ICDE 2014: 232-243 - [c32]Giansalvatore Mecca, Paolo Papotti, Donatello Santoro:
IQ-METER - An evaluation tool for data-transformation systems. ICDE 2014: 1218-1221 - [c31]