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Adriane Chapman

Adriane P. Chapman

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2020 – today

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2024
[j22]
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Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone:
Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance. ACM Trans. Database Syst. 49(2): 6:1-6:42 (2024)
[c45]
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Débora B. Pina, Adriane Chapman, Liliane N. O. Kunstmann, Daniel de Oliveira, Marta Mattoso:
DLProv: A Data-Centric Support for Deep Learning Workflow Analyses. DEEM@SIGMOD 2024: 77-85
[c44]
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Abdullah Hamed Almuntashiri, Luis-Daniel Ibáñez, Adriane Chapman:
LLMs for the Post-Hoc Creation of Provenance. EuroS&P Workshops 2024: 562-566
[c43]
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Shatha Algarni, Boris Glavic, Seokki Lee, Adriane Chapman:
Solving Why Not Questions for Aggregate Constraints Through Query Repair. EuroS&P Workshops 2024: 592-596
[c42]
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Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Ruben Taelman, George Roussos:
Decentralized Search over Personal Online Datastores: Architecture and Performance Evaluation. ICWE 2024: 49-64
[c41]
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Mohamed Ragab, Yury Savateev, Helen Oliver, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
A Demonstration of Decentralized Search Over Solid Personal Online Datastores. WWW (Companion Volume) 2024: 1055-1058
[c40]
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Laura Carmichael, Steve Taylor, Adriane Chapman, Michael J. Boniface:
AI in Health and Social Care: A Methodology for Privacy Risk Modeling and Simulation. WWW (Companion Volume) 2024: 1150-1153
[c39]
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Mohamed Ragab, Yury Savateev, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
Unlocking the Potential of Health Data with Decentralised Search in Personal Health Datastores. WWW (Companion Volume) 2024: 1154-1157
[c38]
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Adriane Chapman, Chloe L. Harrison, Caroline Jones, James Thornton, Rose Worley, Jeremy C. Wyatt:
Sociotechnical Considerations for Accessibility and Equity in AI for Healthcare. WWW (Companion Volume) 2024: 1158-1161
[c37]
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Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos:
The 1st Workshop on Decentralised Search and Recommendation. WWW (Companion Volume) 2024: 1705-1708
[i8]
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  - journals/corr/abs-2403-07732
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Mohamed Ragab, Yury Savateev, Wenjie Wang, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, Helen Oliver, George Roussos:
DESERE: The 1st Workshop on Decentralised Search and Recommendation. CoRR abs/2403.07732 (2024)
2023
[c36]
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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:
Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models. CHI 2023: 300:1-300:20
[c35]
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Mohamed Ragab, Yury Savateev, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
ESPRESSO: A Framework for Empowering Search on Decentralized Web. WISE 2023: 360-375
[c34]
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Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso:
Deep Learning Provenance Data Integration: a Practical Approach. WWW (Companion Volume) 2023: 1542-1550
[c33]
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  - conf/www/LeeGCL23
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Seokki Lee, Boris Glavic, Adriane Chapman, Bertram Ludäscher:
Hybrid Query and Instance Explanations and Repairs. WWW (Companion Volume) 2023: 1559-1562
[i7]
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  - journals/corr/abs-2310-18079
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Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone:
Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance. CoRR abs/2310.18079 (2023)
2022
[j21]
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  - journals/aiethics/AylingC22
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Jacqui Ayling, Adriane Chapman:
Putting AI ethics to work: are the tools fit for purpose? AI Ethics 2(3): 405-429 (2022)
[j20]
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  - journals/cacm/MiddletonLHC22
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Stuart E. Middleton, Emmanuel Letouzé, Ali Hossaini, Adriane Chapman:
Trust, regulation, and human-in-the-loop AI: within the European region. Commun. ACM 65(4): 64-68 (2022)
[j19]
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Adriane Chapman, Luca Lauro, Paolo Missier, Riccardo Torlone:
DPDS: Assisting Data Science with Data Provenance. Proc. VLDB Endow. 15(12): 3614-3617 (2022)
[j18]
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  - journals/tist/HuCWH22
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Yang Hu, Adriane Chapman, Guihua Wen, Wendy Hall:
What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data. ACM Trans. Intell. Syst. Technol. 13(3): 48:1-48:45 (2022)
[j17]
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Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall:
Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition. IEEE Trans. Multim. 24: 2473-2487 (2022)
[c32]
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  - conf/fat/ChapmanGUGA22
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Adriane Chapman, Philip Grylls, Pamela Ugwudike, David Gammack, Jacqui Ayling:
A Data-driven analysis of the interplay between Criminological theory and predictive policing algorithms. FAccT 2022: 36-45
[c31]
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  - conf/sigmod/DeutchMC22
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Daniel Deutch, Tanu Malik, Adriane Chapman:
Theory and Practice of Provenance. SIGMOD Conference 2022: 2544-2545
[e2]
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Adriane Chapman, Daniel Deutch, Tanu Malik:
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, TaPP 2022, Philadelphia, Pennsylvania, 17 June 2022. ACM 2022, ISBN 978-1-4503-9349-2 [contents]
2021
[j16]
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George Konstantinidis, Jet Holt, Adriane Chapman:
Enabling Personal Consent in Databases. Proc. VLDB Endow. 15(2): 375-387 (2021)
[c30]
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  - conf/iotbd/LeungCF21
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Hoi Wen Leung, Adriane Chapman, Nawfal F. Fadhel:
Identifying Food Fraud using Blockchain. IoTBDS 2021: 185-192
[c29]
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  - conf/ipaw/RoperCMC21
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Bernard Roper, Adriane Chapman, David J. Martin, Stefano Cavazzi:
Mapping Trusted Paths to VGI. IPAW 2021: 207-210
[c28]
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Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone:
Fine-grained Provenance for High-quality Data Science (Discussion Paper). SEBD 2021: 411-418
[c27]
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Tom Blount, Adriane Chapman, Michael A. C. Johnson, Bertram Ludäscher:
Observed vs. Possible Provenance (Research Track). TaPP 2021
[i6]
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  - journals/corr/abs-2102-08228
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James Cheney, Adriane Chapman, Joy Davidson, Alistair Forbes:
Data provenance, curation and quality in metrology. CoRR abs/2102.08228 (2021)
[i5]
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  - journals/corr/abs-2106-06410
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Yang Hu, Adriane Chapman, Guihua Wen, Wendy Hall:
What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data. CoRR abs/2106.06410 (2021)
[i4]
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  - journals/corr/abs-2107-09966
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Muhammad Aslam Jarwar, Adriane Chapman, Mark Elliot, Fatemeh Raji:
Provenance, Anonymisation and Data Environments: a Unifying Construction. CoRR abs/2107.09966 (2021)
2020
[j15]
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George Konstantinidis, Adriane Chapman, Mark J. Weal, Ahmed Alzubaidi, Lisa M. Ballard, Anneke M. Lucassen:
The Need for Machine-Processable Agreements in Health Data Management. Algorithms 13(4): 87 (2020)
[j14]
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Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone:
Capturing and querying fine-grained provenance of preprocessing pipelines in data science. Proc. VLDB Endow. 14(4): 507-520 (2020)
[j13]
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Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez, Emilia Kacprzak, Paul Groth:
Dataset search: a survey. VLDB J. 29(1): 251-272 (2020)
[c26]
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  - conf/websci/LyleLBHWC020
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Kate Lyle, Anneke M. Lucassen, Lisa M. Ballard, Faranak Hardcastle, Mark J. Weal, Adriane Chapman, George Konstantinidis:
The Secret Life of Immortal Data. WebSci (Companion) 2020: 89-90
[i3]
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  - journals/corr/abs-2006-04648
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Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall:
Semantic Graph-enhanced Visual Network for Zero-shot Learning. CoRR abs/2006.04648 (2020)

2010 – 2019

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2019
[j12]
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  - journals/ijcrowdsci/BuSCM19
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Qiong Bu, Elena Simperl, Adriane Chapman, Eddy Maddalena:
Quality assessment in crowdsourced classification tasks. Int. J. Crowd Sci. 3(3): 222-248 (2019)
[c25]
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  - conf/tapp/PackerCC19
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Heather S. Packer, Adriane Chapman, Leslie Carr:
GitHub2PROV: Provenance for Supporting Software Project Management. TaPP 2019
[i2]
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  - journals/corr/abs-1901-00735
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Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez-Gonzalez, Emilia Kacprzak, Paul Groth:
Dataset search: a survey. CoRR abs/1901.00735 (2019)
2018
[c24]
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  - conf/ipaw/JohnsonMCGS18
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Michael A. C. Johnson, Luc Moreau, Adriane Chapman, Poshak Gandhi, Carlos Sáenz-Adán:
Using the Provenance from Astronomical Workflows to Increase Processing Efficiency. IPAW 2018: 101-112
[c23]
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  - conf/ipaw/BatlajeryWCM18
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Belfrit Victor Batlajery, Mark J. Weal, Adriane Chapman, Luc Moreau:
Belief Propagation Through Provenance Graphs. IPAW 2018: 145-157
[c22]
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  - conf/ipaw/RoperCMM18
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Bernard Roper, Adriane Chapman, David J. Martin, Jeremy Morley:
A Graph Testing Framework for Provenance Network Analytics. IPAW 2018: 245-251
[c21]
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  - conf/semco/BatlajeryWCM18
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Belfrit Victor Batlajery, Mark J. Weal, Adriane Chapman, Luc Moreau:
prFood: Ontology Principles for Provenance and Risk in the Food Domain. ICSC 2018: 17-24
[r1]
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  - reference/db/HeinisC18
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Thomas Heinis, Adriane Chapman:
Provenance Storage. Encyclopedia of Database Systems (2nd ed.) 2018
2017
[j11]
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  - journals/toit/ChapmanCM17
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Adriane Chapman, James Cheney, Simon Miles:
Guest Editorial: The Provenance of Online Data. ACM Trans. Internet Techn. 17(4): 33:1-33:3 (2017)
2016
[j10]
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Adriane P. Chapman, Arnon Rosenthal, Len Seligman:
The Challenge of "Quick and Dirty" Information Quality. ACM J. Data Inf. Qual. 7(1-2): 1:1-1:4 (2016)
[c20]
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  - conf/ipaw/GammackSC16
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David Gammack, Steve Scott, Adriane P. Chapman:
Modelling Provenance Collection Points and Their Impact on Provenance Graphs. IPAW 2016: 146-157
2015
[j9]
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  - journals/fgcs/AllenCBM15
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M. David Allen, Adriane Chapman, Barbara T. Blaustein, Lisa Mak:
What do we do now? Workflows for an unpredictable world. Future Gener. Comput. Syst. 42: 1-10 (2015)
[c19]
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David Gammack, Adriane Chapman:
Provenance Tipping Point. TaPP 2015
2014
[j8]
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  - journals/isem/RosenthalSACZ14
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Arnon Rosenthal, Len Seligman, M. David Allen, Adriane Chapman, Hongwei Zhu:
Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard. Inf. Syst. E Bus. Manag. 12(4): 495-515 (2014)
[c18]
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M. David Allen, Adriane Chapman, Barbara T. Blaustein:
Engineering Choices for Open World Provenance. IPAW 2014: 242-253
[c17]
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  - conf/tapp/CoeDAC14
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G. Blake Coe, R. Christopher Doty, M. David Allen, Adriane Chapman:
Provenance Capture Disparities Highlighted through Datasets. TAPP 2014
[e1]
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Adriane Chapman, Bertram Ludäscher, Andreas Schreiber:
6th Workshop on the Theory and Practice of Provenance, TaPP'14, Cologne, Germany, June 12-13, 2014. USENIX Association 2014 [contents]
2013
[c16]
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Arnon Rosenthal, Len Seligman, M. David Allen, Adriane Chapman:
Fit for Purpose: Toward an Engineering Basis for Data Exchange Standards. IWEI 2013: 91-103
2012
[c15]
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Adriane Chapman, M. David Allen, Barbara T. Blaustein:
It's About the Data: Provenance as a Tool for Assessing Data Fitness. TaPP 2012
2011
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Barbara T. Blaustein, Adriane Chapman, Len Seligman, M. David Allen, Arnon Rosenthal:
Surrogate Parenthood: Protected and Informative Graphs. Proc. VLDB Endow. 4(8): 518-527 (2011)
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M. David Allen, Adriane Chapman, Len Seligman, Barbara T. Blaustein:
Provenance for collaboration: Detecting suspicious behaviors and assessing trust in information. CollaborateCom 2011: 342-351
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Adriane Chapman, Barbara T. Blaustein, Len Seligman, M. David Allen:
PLUS: A provenance manager for integrated information. IRI 2011: 269-275
[c12]
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M. David Allen, Adriane Chapman, Barbara T. Blaustein, Len Seligman:
Getting It Together: Enabling Multi-organization Provenance Exchange. TaPP 2011
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Barbara T. Blaustein, Adriane Chapman, Len Seligman, M. David Allen, Arnon Rosenthal:
Surrogate Parenthood: Protected and Informative Graphs. CoRR abs/1106.3508 (2011)
2010
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Adriane Chapman, H. V. Jagadish:
Understanding provenance black boxes. Distributed Parallel Databases 27(2): 139-167 (2010)
[c11]
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M. David Allen, Adriane Chapman, Barbara T. Blaustein, Len Seligman:
Capturing Provenance in the Wild. IPAW 2010: 98-101
[c10]
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Uri Braun, Margo I. Seltzer, Adriane Chapman, Barbara T. Blaustein, M. David Allen, Len Seligman:
Towards Query Interoperability: PASSing PLUS. TaPP 2010

2000 – 2009

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2009
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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:
Michigan molecular interactions r2: from interacting proteins to pathways. Nucleic Acids Res. 37(Database-Issue): 642-646 (2009)
[c9]
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Arnon Rosenthal, Len Seligman, Adriane Chapman, Barbara T. Blaustein:
Scalable Access Controls for Lineage. Workshop on the Theory and Practice of Provenance 2009
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Jing Zhang, Adriane Chapman, Kristen LeFevre:
Do You Know Where Your Data's Been? - Tamper-Evident Database Provenance. Secure Data Management 2009: 17-32
[c7]
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Adriane Chapman, H. V. Jagadish:
Why not? SIGMOD Conference 2009: 523-534
2008
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Adriane Chapman:
Incorporating Provenance in Database Systems. University of Michigan, USA, 2008
[c6]
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Adriane Chapman, H. V. Jagadish:
Provenance and the Price of Identity. IPAW 2008: 106-119
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Adriane Chapman, H. V. Jagadish, Prakash Ramanan:
Efficient provenance storage. SIGMOD Conference 2008: 993-1006
2007
[j4]
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Adriane Chapman, H. V. Jagadish:
Issues in Building Practical Provenance Systems. IEEE Data Eng. Bull. 30(4): 38-43 (2007)
[j3]
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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:
Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together. Nucleic Acids Res. 35(Database-Issue): 566-571 (2007)
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H. V. Jagadish, Adriane Chapman, Aaron Elkiss, Magesh Jayapandian, Yunyao Li, Arnab Nandi, Cong Yu:
Making database systems usable. SIGMOD Conference 2007: 13-24
2006
[c3]
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Peter Buneman, Adriane Chapman, James Cheney, Stijn Vansummeren:
A Provenance Model for Manually Curated Data. IPAW 2006: 162-170
[c2]
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Peter Buneman, Adriane Chapman, James Cheney:
Provenance management in curated databases. SIGMOD Conference 2006: 539-550
2003
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Adriane Chapman, Cong Yu, H. V. Jagadish:
Effective Integration of Protein Data through Better Data Modeling. OMICS 7(1): 101-102 (2003)
[c1]
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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:
TIMBER: A Native System for Querying XML. SIGMOD Conference 2003: 672
2002
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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:
TIMBER: A native XML database. VLDB J. 11(4): 274-291 (2002)

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