Adriane Chapman

According to our database, Adriane Chapman authored at least 73 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance.

Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone

ACM Trans. Database Syst., June, 2024

DESERE: The 1st Workshop on Decentralised Search and Recommendation.

Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos

CoRR, 2024

Sociotechnical Considerations for Accessibility and Equity in AI for Healthcare.

Adriane Chapman, Chloe L. Harrison, Caroline Jones, James Thornton, Rose Worley, Jeremy C. Wyatt

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

AI in Health and Social Care: A Methodology for Privacy Risk Modeling and Simulation.

Laura Carmichael, Steve Taylor, Adriane Chapman, Michael J. Boniface

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The 1st Workshop on Decentralised Search and Recommendation.

Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Unlocking the Potential of Health Data with Decentralised Search in Personal Health Datastores.

Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Demonstration of Decentralized Search Over Solid Personal Online Datastores.

Mohamed Ragab, Yury Savateev, Helen Oliver, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Decentralized Search over Personal Online Datastores: Architecture and Performance Evaluation.

Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Ruben Taelman, George Roussos

Proceedings of the Web Engineering - 24th International Conference, 2024

LLMs for the Post-Hoc Creation of Provenance.

Abdullah Hamed Almuntashiri, Luis-Daniel Ibáñez, Adriane Chapman

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

Solving Why Not Questions for Aggregate Constraints Through Query Repair.

Shatha Algarni, Boris Glavic, Seokki Lee, Adriane Chapman

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

DLProv: A Data-Centric Support for Deep Learning Workflow Analyses.

Débora B. Pina, Adriane Chapman, Liliane N. O. Kunstmann, Daniel de Oliveira, Marta Mattoso

Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning, 2024

2023

Deep Learning Provenance Data Integration: a Practical Approach.

Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Hybrid Query and Instance Explanations and Repairs.

Seokki Lee, Boris Glavic, Adriane Chapman, Bertram Ludäscher

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

ESPRESSO: A Framework for Empowering Search on Decentralized Web.

Mohamed Ragab, Yury Savateev, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models.

Amid Ayobi, Jacob Hughes, Christopher J. Duckworth, Jakub J. Dylag, Sam James, Paul Marshall, Matthew Guy, Anitha Kumaran, Adriane Chapman, Michael J. Boniface, Aisling Ann O'Kane

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition.

Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall

IEEE Trans. Multim., 2022

What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data.

Yang Hu, Adriane Chapman, Guihua Wen, Wendy Hall

ACM Trans. Intell. Syst. Technol., 2022

DPDS: Assisting Data Science with Data Provenance.

Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone

Proc. VLDB Endow., 2022

Trust, regulation, and human-in-the-loop AI: within the European region.

Stuart E. Middleton, Emmanuel Letouzé, Ali Hossaini, Adriane Chapman

Commun. ACM, 2022

Putting AI ethics to work: are the tools fit for purpose?

Jacqui Ayling, Adriane Chapman

AI Ethics, 2022

Theory and Practice of Provenance.

Daniel Deutch, Tanu Malik, Adriane Chapman

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

A Data-driven analysis of the interplay between Criminological theory and predictive policing algorithms.

Adriane Chapman, Philip Grylls, Pamela Ugwudike, David Gammack, Jacqui Ayling

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Enabling Personal Consent in Databases.

George Konstantinidis, Jet Holt, Adriane Chapman

Proc. VLDB Endow., 2021

Provenance, Anonymisation and Data Environments: a Unifying Construction.

Muhammad Aslam Jarwar, Adriane Chapman, Mark Elliot, Fatemeh Raji

CoRR, 2021

Data provenance, curation and quality in metrology.

James Cheney, Adriane Chapman, Joy Davidson, Alistair Forbes

CoRR, 2021

Observed vs. Possible Provenance (Research Track).

Tom Blount, Adriane Chapman, Michael A. C. Johnson, Bertram Ludäscher

Proceedings of the 13th International Workshop on Theory and Practice of Provenance, 2021

Fine-grained Provenance for High-quality Data Science (Discussion Paper).

Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Mapping Trusted Paths to VGI.

Bernard Roper, Adriane Chapman, David J. Martin, Stefano Cavazzi

Proceedings of the Provenance and Annotation of Data and Processes, 2021

Identifying Food Fraud using Blockchain.

Hoi Wen Leung, Adriane Chapman, Nawfal F. Fadhel

Proceedings of the 6th International Conference on Internet of Things, 2021

2020

Dataset search: a survey.

Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez, Emilia Kacprzak, Paul Groth

VLDB J., 2020

Capturing and querying fine-grained provenance of preprocessing pipelines in data science.

Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone

Proc. VLDB Endow., 2020

Semantic Graph-enhanced Visual Network for Zero-shot Learning.

Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall

CoRR, 2020

The Need for Machine-Processable Agreements in Health Data Management.

George Konstantinidis, Adriane Chapman, Mark J. Weal, Ahmed Alzubaidi, Lisa M. Ballard, Anneke M. Lucassen

Algorithms, 2020

The Secret Life of Immortal Data.

Kate Lyle, Anneke M. Lucassen, Lisa M. Ballard, Faranak Hardcastle, Mark J. Weal, Adriane Chapman, George Konstantinidis

Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

2019

Quality assessment in crowdsourced classification tasks.

Qiong Bu, Elena Simperl, Adriane Chapman, Eddy Maddalena

Int. J. Crowd Sci., 2019

GitHub2PROV: Provenance for Supporting Software Project Management.

Heather S. Packer, Adriane Chapman, Leslie Carr

Proceedings of the 11th International Workshop on Theory and Practice of Provenance, 2019

2018

Provenance Storage.

Thomas Heinis, Adriane Chapman

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

prFood: Ontology Principles for Provenance and Risk in the Food Domain.

Belfrit Victor Batlajery, Mark J. Weal, Adriane Chapman, Luc Moreau

Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

A Graph Testing Framework for Provenance Network Analytics.

Bernard Roper, Adriane Chapman, David J. Martin, Jeremy Morley

Proceedings of the Provenance and Annotation of Data and Processes, 2018

Using the Provenance from Astronomical Workflows to Increase Processing Efficiency.

Michael A. C. Johnson, Luc Moreau, Adriane Chapman, Poshak Gandhi, Carlos Sáenz-Adán

Proceedings of the Provenance and Annotation of Data and Processes, 2018

Belief Propagation Through Provenance Graphs.

Belfrit Victor Batlajery, Mark J. Weal, Adriane Chapman, Luc Moreau

Proceedings of the Provenance and Annotation of Data and Processes, 2018

2017

Guest Editorial: The Provenance of Online Data.

Adriane Chapman, James Cheney, Simon Miles

ACM Trans. Internet Techn., 2017

2016

The Challenge of "Quick and Dirty" Information Quality.

Adriane P. Chapman, Arnon Rosenthal, Len Seligman

ACM J. Data Inf. Qual., 2016

Modelling Provenance Collection Points and Their Impact on Provenance Graphs.

David Gammack, Steve Scott, Adriane P. Chapman

Proceedings of the Provenance and Annotation of Data and Processes, 2016

2015

What do we do now? Workflows for an unpredictable world.

M. David Allen, Adriane Chapman, Barbara T. Blaustein, Lisa Mak

Future Gener. Comput. Syst., 2015

Provenance Tipping Point.

David Gammack, Adriane Chapman

Proceedings of the 7th USENIX Workshop on the Theory and Practice of Provenance, 2015

2014

Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard.

Arnon Rosenthal, Len Seligman, M. David Allen, Adriane Chapman, Hongwei Zhu

Inf. Syst. E Bus. Manag., 2014

Provenance Capture Disparities Highlighted through Datasets.

G. Blake Coe, R. Christopher Doty, M. David Allen, Adriane Chapman

Proceedings of the 6th Workshop on the Theory and Practice of Provenance, 2014

Engineering Choices for Open World Provenance.

M. David Allen, Adriane Chapman, Barbara T. Blaustein

Proceedings of the Provenance and Annotation of Data and Processes, 2014

2013

Fit for Purpose: Toward an Engineering Basis for Data Exchange Standards.

Arnon Rosenthal, Len Seligman, M. David Allen, Adriane Chapman

Proceedings of the Enterprise Interoperability - 5th International IFIP Working Conference, 2013

2012

It's About the Data: Provenance as a Tool for Assessing Data Fitness.

Adriane Chapman, M. David Allen, Barbara T. Blaustein

Proceedings of the 4th Workshop on the Theory and Practice of Provenance, 2012

2011

Surrogate Parenthood: Protected and Informative Graphs.

Barbara T. Blaustein, Adriane Chapman, Len Seligman, M. David Allen, Arnon Rosenthal

Proc. VLDB Endow., 2011

Getting It Together: Enabling Multi-organization Provenance Exchange.

M. David Allen, Adriane Chapman, Barbara T. Blaustein, Len Seligman

Proceedings of the 3rd Workshop on the Theory and Practice of Provenance, 2011

PLUS: A provenance manager for integrated information.

Adriane Chapman, Barbara T. Blaustein, Len Seligman, M. David Allen

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

Provenance for collaboration: Detecting suspicious behaviors and assessing trust in information.

M. David Allen, Adriane Chapman, Len Seligman, Barbara T. Blaustein

Proceedings of the 7th International Conference on Collaborative Computing: Networking, 2011

2010

Understanding provenance black boxes.

Adriane Chapman, H. V. Jagadish

Distributed Parallel Databases, 2010

Towards Query Interoperability: PASSing PLUS.

Uri Braun, Margo I. Seltzer, Adriane Chapman, Barbara T. Blaustein, M. David Allen, Len Seligman

Proceedings of the 2nd Workshop on the Theory and Practice of Provenance, 2010

Capturing Provenance in the Wild.

M. David Allen, Adriane Chapman, Barbara T. Blaustein, Len Seligman

Proceedings of the Provenance and Annotation of Data and Processes, 2010

2009

Michigan molecular interactions r2: from interacting proteins to pathways.

V. Glenn Tarcea, Terry E. Weymouth, Alexander S. Ade, Aaron V. Bookvich, Jing Gao, Vasudeva Mahavisno, Zach Wright, Adriane Chapman, Magesh Jayapandian, Arzucan Özgür, Yuanyuan Tian, James D. Cavalcoli, Barbara Mirel, Jignesh M. Patel, Dragomir R. Radev, Brian D. Athey, David J. States, H. V. Jagadish

Nucleic Acids Res., 2009

Why not?

Adriane Chapman, H. V. Jagadish

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Do You Know Where Your Data's Been? - Tamper-Evident Database Provenance.

Jing Zhang, Adriane Chapman, Kristen LeFevre

Proceedings of the Secure Data Management, 6th VLDB Workshop, 2009

Scalable Access Controls for Lineage.

Arnon Rosenthal, Len Seligman, Adriane Chapman, Barbara T. Blaustein

Proceedings of the First Workshop on the Theory and Practice of Provenance, 2009

2008

Incorporating Provenance in Database Systems.

Adriane Chapman

PhD thesis, 2008

Efficient provenance storage.

Adriane Chapman, H. V. Jagadish, Prakash Ramanan

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Provenance and the Price of Identity.

Adriane Chapman, H. V. Jagadish

Proceedings of the Provenance and Annotation of Data and Processes, 2008

2007

Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together.

Magesh Jayapandian, Adriane Chapman, V. Glenn Tarcea, Cong Yu, Aaron Elkiss, Angela Ianni, Bin Liu, Arnab Nandi, Carlos Santos, Philip C. Andrews, Brian D. Athey, David J. States, H. V. Jagadish

Nucleic Acids Res., 2007

Issues in Building Practical Provenance Systems.

Adriane Chapman, H. V. Jagadish

IEEE Data Eng. Bull., 2007

Making database systems usable.

H. V. Jagadish, Adriane Chapman, Aaron Elkiss, Magesh Jayapandian, Yunyao Li, Arnab Nandi, Cong Yu

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

2006

Provenance management in curated databases.

Peter Buneman, Adriane Chapman, James Cheney

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

A Provenance Model for Manually Curated Data.

Peter Buneman, Adriane Chapman, James Cheney, Stijn Vansummeren

Proceedings of the Provenance and Annotation of Data, 2006

2003

Effective Integration of Protein Data through Better Data Modeling.

Adriane Chapman, Cong Yu, H. V. Jagadish

OMICS, 2003

TIMBER: A Native System for Querying XML.

Stelios Paparizos, Shurug Al-Khalifa, Adriane Chapman, H. V. Jagadish, Laks V. S. Lakshmanan, Andrew Nierman, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu

Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

2002

TIMBER: A native XML database.

H. V. Jagadish, Shurug Al-Khalifa, Adriane Chapman, Laks V. S. Lakshmanan, Andrew Nierman, Stelios Paparizos, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu

VLDB J., 2002