The University of Southampton
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Electronics and Computer Science
Telephone:
+442380598660
Email:
Adriane.Chapman@soton.ac.uk

Professor Age Chapman 

I am a Professor of Computer Science, in the Web and Internet Science Group (WAIS), in Electronics and Computer Science at the University of Southampton. My research is in the area of database systems, focusing on using data appropriately and effectively. This involves solving problems that span the areas of databases, information discovery and retrieval, provenance, and algorithmic accountability. I work closely with clinical practitioners and other health-deliverers in order to understand their needs, refine my research and apply it.  I have worked closely with the US Federal government, and influenced the Office of the National Coordinators (ONC) report on the usage of provenance within electronic health systems. I have advised the US Food and Drug Agency (FDA) , the National Geospatial-Intelligence Agency (NGA), and the Department of Homeland Security (DHS) on data management problems. 

I chair the steering committee of the Theory and Practice of Provenance (TaPP) and ProvenanceWeek. I am the recipient of the 2016 ACM SIGMOD Test of Time Award for my work on provenance. I run a Science Fair for the local primary schools to encourage the joy of research in budding scientists.

To apply for a PhD with me, please provide a research proposal that aligns with my interests and follow the ECS PhD application process.

Research

Research interests

Artificial Intelligence and Data Science are making huge strides in improving the human condition, helping us to make decisions and utilize resources better. We are creating a new economy - the data economy. In support of this, my research revolves around how to ensure that data required for artificial intelligence and data science can be found and used appropriately. This includes:

  1. Dataset retrieval: How can we discover datasets and rapidly assess which is suitable for a given task?
  2. Data improvement: Can we provide additional information that allows data to be better understood, such as provenance and annotations?
  3. Appropriate data usage: How can we ensure that the data chosen is used responsibly? To support algorithmic accountability, can we provide mechanisms that allow end users to understand the algorithmic impact of their data choices (e.g. to support the machine learning algorithms in the criminal justice system). Can we ensure that users's consent on their personal data is honored? 

Teaching

Publications

Gammack, David and Chapman, Adriane (2015) Provenance tipping point. 8th USENIX Workshop on the Theory and Practice of Provenance, , Washington D.C., United States. 08 - 09 Jun 2016.

Allen, M David, Chapman, Adriane, Blaustein, Barbara and Mak, Lisa (2015) What do we do now? Workflows for an unpredictable world. Future Generation Computer Systems, 42, 1-10. (doi:10.1016/j.future.2014.08.004).

Chapman, Adriane P., Rosenthal, Arnon and Seligman, Len (2016) The challenge of “quick and dirty” information quality. ACM Journal of Data and Information Quality, 7 (1-2). (doi:10.1145/2834123).

Chapman, Adriane and Rosenthal, Arnon (2014) Provenance needs incentives for everyone. In 7th USENIX Workshop on the Theory and Practice of Provenance.

Gammack, David, Scott, Steve and Chapman, Adriane P. (2016) Modelling provenance collection points and their impact on provenance graphs. Mattoso, M. and Glavic, B. (eds.) In Provenance and Annotation of Data and Processes. IPAW 2016. vol. 9672, Springer. pp. 146-157 . (doi:10.1007/978-3-319-40593-3_12).

Allen, M. David, Chapman, Adriane and Blaustein, Barbara (2015) Engineering choices for open world provenance. In Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Revised Selected Papers. vol. 8628, Springer Verlag. pp. 242-253 . (doi:10.1007/978-3-319-16462-5_25).

Rosenthal, Arnon, Seligman, Len, Allen, M David, Chapman, Adriane and Zhu, Hongwei (2014) Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard. Information Systems and E-business Management, 12 (4), 495-515. (doi:10.1007/s10257-014-0238-3).

Coe, G. Blake, Doty, R. Christopher, Allen, M. David and Chapman, Adriane (2014) Provenance capture disparities highlighted through datasets. In TaPP 2014: 6th USENIX Workshop on the Theory and Practice of Provenance. USENIX..

Jagadish, Hosagrahar V, Al-Khalifa, Shurug, Chapman, Adriane, Lakshmanan, Laks VS, Nierman, Andrew, Paparizos, Stelios, Patel, Jignesh M, Srivastava, Divesh, Wiwatwattana, Nuwee and Wu, Yuqing (2002) Timber: A native xml database. The VLDB Journal, 11 (4), 274-291.

Heinis, Thomas and Chapman, Adriane (2017) Provenance Storage. In, Liu, Ling and Ozsu, M. Tamer (eds.) Encyclopedia of Database Systems. Springer New York. (doi:10.1007/978-1-4899-7993-3_80746-1).

Chapman, Adriane, Blaustein, Barbara, Seligman, Leonard and Allen, M. David (2010) Provenance Capture and Use: A Practical Guide The MITRE Corporation

Rosenthal, Arnon, Seligman, Len and Chapman, Adriane P (2012) Time Constrained Information Quality. ACM Journal of Data and Information Quality.

Allen, M David, Chapman, Adriane and Blaustein, Barbara (2012) Provenance: Information for Shared Understanding. In 17th ICCRTS Operationalizing C2 Agility.

Chapman, Adriane, Jayapandian, Magesh, Yu, Cong and Jagadish, HV (2005) MiMI: Michigan molecular interactions.

Rosenthal, Arnon, Seligman, Len, Allen, M David and Chapman, Adriane (2013) Fit for purpose: toward an engineering basis for data exchange standards. In International IFIP Working Conference on Enterprise Interoperability. pp. 91-103 .

Chapman, Adriane, Yu, Cong and Jagadish, HV (2003) Effective integration of protein data through better data modeling. OMICS: A Journal of Integrative Biology, 7 (1), 101-102.

Chapman, Adriane, Allen, M David, Blaustein, Barbara, Seligman, Len, Wolf, Chris, Morse, Michael and Rosenthal, Arnon (2010) PLUS: Provenance for life, the universe and stuff. Proceedings of the VLDB Endowment, 13-17.

Chapman, Adriane, Allen, M David and Blaustein, Barbara T (2012) It's About the Data: Provenance as a Tool for Assessing Data Fitness. In 5th USENIX Workshop on the Theory and Practice of Provenance.

Braun, Uri, Seltzer, Margo I, Chapman, Adriane, Blaustein, Barbara T, Allen, M David and Seligman, Len (2010) Towards Query Interoperability: PASSing PLUS. In 3rd USENIX Workshop on the Theory and Practice of Provenance. pp. 1-10 .

Allen, M David, Chapman, Adriane, Seligman, Len and Blaustein, Barbara (2011) Provenance for collaboration: Detecting suspicious behaviors and assessing trust in information. In Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2011 7th International Conference on. pp. 342-351 .

Chapman, Adriane and Jagadish, HV (2010) Understanding provenance black boxes. Distributed and Parallel Databases, 27 (2), 139-167.

Allen, M David, Chapman, Adriane, Blaustein, Barbara T and Seligman, Len (2011) Getting It Together: Enabling Multi-organization Provenance Exchange. In 4th USENIX Workshop on the Theory and Practice of Provenance.

Allen, M David, Chapman, Adriane, Blaustein, Barbara and Seligman, Len (2010) Capturing provenance in the wild. In International Provenance and Annotation Workshop. pp. 98-101 .

Chapman, Adriane, Blaustein, Barbara and Elsaesser, Chris (2010) Provenance-based belief. In 3rd USENIX Workshop on the Theory and Practice of Provenance.

Blaustein, Barbara, Chapman, Adriane, Seligman, Len, Allen, M David and Rosenthal, Arnon (2011) Surrogate parenthood: protected and informative graphs. Proceedings of the VLDB Endowment, 4 (8), 518-525.

Chapman, Adriane, Blaustein, Barbara T, Seligman, Len and Allen, M David (2011) Plus: A provenance manager for integrated information. In Information Reuse and Integration (IRI), 2011 IEEE International Conference on. pp. 269-275 .

Rosenthal, Arnon, Seligman, Len, Chapman, Adriane and Blaustein, Barbara T (2009) Scalable Access Controls for Lineage. In Workshop on the Theory and Practice of Provenance.

Zhang, Jing, Chapman, Adriane and Lefevre, Kristen (2009) Do you know where your data’s been?--Tamper-evident database provenance. In Workshop on Secure Data Management. pp. 17-32 .

Chapman, Adriane and Jagadish, HV (2007) Issues in Building Practical Provenance Systems. IEEE Data Engineering Bulletin, 30 (4), 38-43.

Buneman, Peter, Chapman, Adriane, Cheney, James and Vansummeren, Stijn (2006) A provenance model for manually curated data. In International Provenance and Annotation Workshop. pp. 162-170 .

Paparizos, Stelios, Al-Khalifa, Shurug, Chapman, Adriane, Jagadish, HV, Lakshmanan, Laks VS, Nierman, Andrew, Patel, Jignesh M, Srivastava, Divesh, Wiwatwattana, Nuwee and Wu, Yuqing (2003) TIMBER: A native system for querying XML. In Proceedings of the 2003 ACM SIGMOD international conference on Management of data. p. 672 .

Tarcea, V Glenn, Weymouth, Terry, Ade, Alex, Bookvich, Aaron, Gao, Jing, Mahavisno, Vasudeva, Wright, Zach, Chapman, Adriane, Jayapandian, Magesh and Özgür, Arzucan (2009) Michigan molecular interactions r2: from interacting proteins to pathways. Nucleic Acids Research, 37 (suppl 1), D642-D646.

Jayapandian, Magesh, Chapman, Adriane, Tarcea, V Glenn, Yu, Cong, Elkiss, Aaron, Ianni, Angela, Liu, Bin, Nandi, Arnab, Santos, Carlos and Andrews, Philip (2007) Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together. Nucleic Acids Research, 35 (suppl 1), D566-D571.

Chapman, Adriane and Jagadish, HV (2009) Why not? In Proceedings of the 2009 ACM SIGMOD International Conference on Management of data. pp. 523-534 .

Chapman, Adriane P, Jagadish, Hosagrahar V and Ramanan, Prakash (2008) Efficient provenance storage. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data. pp. 993-1006 .

Jagadish, HV, Chapman, Adriane, Elkiss, Aaron, Jayapandian, Magesh, Li, Yunyao, Nandi, Arnab and Yu, Cong (2007) Making database systems usable. In Proceedings of the 2007 ACM SIGMOD international conference on Management of data. pp. 13-24 .

Buneman, Peter, Chapman, Adriane and Cheney, James (2006) Provenance management in curated databases. In Proceedings of the 2006 ACM SIGMOD international conference on Management of data. pp. 539-550 .

Chapman, Adriane P (2008) Incorporating provenance in database systems. University of Michigan, Doctoral Thesis, 192pp.

Moehrke, John, Rosenthal, Arnon and Chapman, Adriane (2016) Extending the FHIR standard to handle provenance.

Mork, Peter, Chapman, Adriane and Rosenthal, Arnon (2017) How we learned to stop worrying and embrace the chaos. In Northeast Database Day.

Batlajery, Belfrit Victor, Weal, Mark, Chapman, Adriane and Moreau, Luc (2017) prFood: Ontology principles for provenance and risk in the food domain. IEEE International Conference on Semantic Computing, The Hills Hotel, Laguna Hills, United States. 31 Jan - 02 Feb 2018. 8 pp . (In Press)

Batlajery, Belfrit, Victor, Weal, Mark, Chapman, Adriane and Moreau, Luc (2018) Belief propagation through provenance graphs. Balhajjame, K., Gehani, A. and Alper, P. (eds.) In Provenance and Annotation of Data and Processes: IPAW 2018. vol. 11017, Springer. pp. 145-157 . (doi:10.1007/978-3-319-98379-0_11).

Roper, Bernard, Chapman, Adriane, Martin, David and Morley, Jeremy (2018) A graph testing framework for provenance network analytics. In Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings. vol. 11017 LNCS, Springer Verlag. pp. 245-251 . (doi:10.1007/978-3-319-98379-0_29).

Johnson, Michael A.C., Moreau, Luc, Chapman, Adriane, Gandhi, Poshak and Sáenz-Adán, Carlos (2018) Using the provenance from astronomical workflows to increase processing efficiency. In Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings. vol. 11017 LNCS, Springer Verlag. pp. 101-112 . (doi:10.1007/978-3-319-98379-0_8).

Johnson, Michael A.C., Gandhi, Poshak, Chapman, Adriane P., Moreau, Luc, Charles, Philip A., Clarkson, William I. and Hill, Adam B. (2018) Prospecting period measurements with LSST - low mass X-ray binaries as a test case. arXiv.

Johnson, Michael, Gandhi, Poshak, Chapman, Adriane, Moreau, Luc, Charles, Philip, Clarkson, William I. and Hill, Adam (2019) Prospecting for periods with LSST – low-mass X-ray binaries as a test case. Monthly Notices of the Royal Astronomical Society, 484 (1), 19-30. (doi:10.1093/mnras/sty3466).

Chapman, Adriane, Simperl, Elena, Koesten, Laura, Konstantinidis, Georgios, Ibanez Gonzalez, Luis, Kacprzak, Emilia and Groth, Paul (2019) Dataset search: a survey. The VLDB Journal, 1-22. (doi:10.1007/s00778-019-00564-x).

Bu, Qiong, Simperl, Elena, Chapman, Adriane and Maddalena, Eddy (2019) Quality assessment in crowdsourced classification tasks. International Journal of Crowd Science. (doi:10.1108/IJCS-06-2019-0017).

Konstantinidis, Georgios, Chapman, Adriane, Weal, Mark, Alzubaidi, Ahmed, Ballard, Lisa and Lucassen, Anneke (2020) The need for machine-processable agreements in health data management. Algorithms, 13 (4), 1-21, [87]. (doi:10.3390/a13040087).

Lyle, Kate, Lucassen, Anneke, Ballard, Lisa, Hardcastle, Faranak, Weal, Mark, Chapman, Adriane and Konstantinidis, George (2020) The secret life of immortal data. In WebSci 2020 - Companion of the 12th ACM Conference on Web Science. ACM. pp. 89-90 . (doi:10.1145/3394332.3402898).

Chapman, Adriane, Missier, Paolo, Simonelli, Giulia and Torlone, Riccardo (2020) Capturing and querying fine-grained provenance of preprocessing pipelines in data science. Proceedings of the VLDB Endowment, 14 (4), 507-520. (doi:10.14778/3436905.3436911).

Hu, Yang, Wen, Guihua, Chapman, Adriane, Pei, Yang, Luo, Mingnan, Xu, Yingxue, Dai, Dan and Hall, Wendy (2021) Graph-based visual-semantic entanglement network for zero-shot image recognition. IEEE Transactions on Multimedia. (In Press)

Ayling, Jacqueline, Anne and Chapman, Adriane (2021) Putting AI ethics to work: are the tools fit for purpose? AI and Ethics, 1-36, [AIET-D-21-00058R1]. (In Press)

Blount, Tom, Chapman, Adriane, Johnson, Michael and Ludascher, Bertram (2021) Observed vs. possible provenance. Theory and Practice of Provenance 2021. 10 pp .

Middleton, Stuart, Letouzé, Emmanuel, Hossaini, Ali and Chapman, Age (2022) Trust, regulation, and human-in-the-loop AI: within the European region. Communications of the ACM, 65 (4), 64–68. (doi:10.1145/3511597).

Cheney, James, Chapman, Age, Davidson, Joy and Forbes, Alistair (2021) Data provenance, curation and quality in metrology. Advanced Mathematical and Computational Tools in Metrology and Testing XII Series on Advances in Mathematics for Applied Sciences, 90, 167-187. (doi:10.1142/9789811242380 0009).

Jarwar, Muhammad Aslam, Chapman, Age, Elliot, Mark and Raji, Fatemeh (2021) Modelling Data Environments WithinPROV to Assist AnonymisationDecision-making. In Modelling Data Environments WithinPROV to Assist AnonymisationDecision-making. (In Press)

Tiropanis, Thanassis, Poulovassilis, Alexandra, Chapman, Age and Roussos, George (2021) Search in a Redecentralised Web. In Computer Science Conference Proceedings: 12th International Conference on Internet Engineering & Web Services (InWeS 2021).

Hu, Yang, Chapman, Age, Wen, Guihua and Hall, Wendy (2022) ACM transactions on intelligent systems and technology: What can knowledge bring to machine learning?—A survey of low-shot learning for structured data. ACM Transactions on Intelligent Systems and Technology, 13 (3), 1-45. (doi:10.1145/3508465).

Chapman, Age, Ugwudike, Pamela, Grylls, Philip, Gammack, David and Ayling, Jacqueline, Anne (2022) A data-driven analysis of the interplay between criminological theory and predictive policing algorithms. In ACM Conference on Fairness, Accountability, and Transparency: FaCCT. ACM. 14 pp .

Contact

Telephone: +44 (0) 23 8059 8660

Email: Adriane.Chapman@soton.ac.uk

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