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Why and Where: A Characterization of Data Provenance
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“All updates are logged with provenance to ensure the evolution process remains auditable [2, 26, 9].”
From SEDM: Selective Self-Evolving Distributed Memory for Agents (2025) · cites this paper as [2]
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Cites
Abiteboul, S., Hull, R. B., & Vianu, V. (1994) · Cited by 3,461
Data on the Web from relations to semistructured data and XML
Abiteboul, S., Buneman, P., & Suciu, D. M. (2000) · Cited by 1,062
Self-citationThe Lorel query language for semistructured data
Abiteboul, S., Quass, D., McHugh, J., Widom, J., & Wiener, J. L. (1997) · International Journal on Digital Libraries · doi:10.1007/s007990050005 · Cited by 1,059
Object exchange across heterogeneous information sources
Papakonstantinou, Y., García-Molina, H., & Widom, J. (2002) · Proceedings - International Conference on Data Engineering · doi:10.1109/icde.1995.380386 · Cited by 755
Deutsch, A., Fernández, M., Florescu, D., Levy, A. Y., & Suciu, D. M. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00020-1 · Cited by 544
A query language and optimization techniques for unstructured data
Buneman, P., Davidson, S. B., Hillebrand, G. G., & Suciu, D. M. (1996) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/233269.233368 · Cited by 535
Self-citationView maintenance in a warehousing environment
Zhuge, Y., García-Molina, H., Hammer, J., & Widom, J. (1995) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/223784.223848 · Cited by 435
XML-QL: A Query Language for XML
Deutsch, A. (1998) · Cited by 422
On conjunctive queries containing inequalities
Klug, A. C. (1988) · Journal of the ACM · doi:10.1145/42267.42273 · Cited by 295
Ballard, J. W. O. (1995) · PubMed · Cited by 276
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Buneman, P., & Tan, W.-C. (2019) · ACM SIGMOD Record · doi:10.1145/3316416.3316418 · Cited by 46
Self-citationbdbms -- A Database Management System for Biological DataPreprint
Eltabakh, M. Y., Ouzzani, M., & Aref, W. G. (2006) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0612127 · Cited by 46
Struijk, M., Angelopoulos, S. P., Ou, C. X., & Davison, R. M. (2023) · Information Systems Journal · doi:10.1111/isj.12430 · Cited by 54
Collaborative data sharing via update exchange and provenance
Karvounarakis, G., Green, T. J., Ives, Z. G., & Tannen, V. (2013) · ACM Transactions on Database Systems · doi:10.1145/2500127 · Cited by 45
Using SQL for Efficient Generation and Querying of Provenance Information
Glavic, B., Miller, R. J., & Alonso, G. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-41660-6_16 · Cited by 45
Tang, R., Wu, H., Bao, Z., Bressan, S., & Valduriez, P. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40173-2_31 · Cited by 45
A Provenance Model for Manually Curated Data
Buneman, P., Chapman, A. P., Cheney, J., & Vansummeren, S. (2006) · Lecture notes in computer science · doi:10.1007/11890850_17 · Cited by 45
Self-citationA collaborative informatics infrastructure for multi-scale science
Myers, J. D., Allison, T. C., Bittner, S., Didier, B. T., Frenklach, M., Green, W. H., Ho, Y.-L., Hewson, J. C., Koegler, W. S., Lansing, L., et al. (2004) · Challenges of Large Applications in Distributed Environments · doi:10.1109/clade.2004.1309089 · Cited by 45
On Homeland Security and the Semantic Web: A Provenance and Trust Aware Inference Framework
Ding, L., Kolari, P., Finin, T., Joshi, A., Peng, Y. F., & Yesha, Y. (2005) · Maryland Shared Open Access Repository (USMAI Consortium) · doi:10.13016/m2z31ns79 · Cited by 45
Why so? or Why no? Functional Causality for Explaining Query AnswersPreprint
Meliou, A., Gatterbauer, W., Moore, K. F., & Suciu, D. M. (2009) · arXiv (Cornell University) · doi:10.48550/arxiv.0912.5340 · Cited by 46
A graph model of data and workflow provenance
Acar, U. A., Buneman, P., Cheney, J., den Bussche, J. V., Kwaśnikowska, N., & Vansummeren, S. (2010) · doi:10.5555/1855795.1855803 · Cited by 44
Self-citationRecording Process Documentation for Provenance
Groth, P., & Moreau, L. (2008) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2008.215 · Cited by 44
Watermill: An Optimized Fingerprinting System for Databases under Constraints
Lafaye, J., David Gross-amblard, A., Constantin, C., & Guerrouani, M. (2008) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2007.190713 · Cited by 44
Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows
de Oliveira, D., Ocaña, K., Ogasawara, E., Dias, J., Gonçalves, J., Baião, F., & Mattoso, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2012.12.019 · Cited by 43
Gatterbauer, W., Bałazińska, M., Khoussainova, N., & Suciu, D. M. (2009) · Proceedings of the VLDB Endowment · doi:10.14778/1687627.1687629 · Cited by 43
Automating Failure Testing Research at Internet Scale
Alvaro, P., Andrus, K., Sanden, C., Rosenthal, C., Basiri, A., & Hochstein, L. (2016) · ACM Symposium on Cloud Computing (SoCC) · doi:10.1145/2987550.2987555 · Cited by 43
Distance makes the types grow stronger
Reed, J., & Pierce, B. C. (2010) · ACM SIGPLAN Notices · doi:10.1145/1932681.1863568 · Cited by 60
Geoscience Data Provenance: An Overview
Di, L., Yue, P., Ramapriyan, H. K., & King, R. L. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2242478 · Cited by 43
A model of process documentation to determine provenance in mash-ups
Groth, P., Miles, S., & Moreau, L. (2009) · ACM Transactions on Internet Technology · doi:10.1145/1462159.1462162 · Cited by 43
Integrating databases and workflow systems
Shankar, S., Kini, A., DeWitt, D. J., & Naughton, J. F. (2005) · ACM SIGMOD Record · doi:10.1145/1084805.1084808 · Cited by 43
Metadata and provenance for spatial analysis: the case of spatial weights
Anselin, L., Rey, S. J., & Li, W. (2014) · International Journal of Geographical Information Science · doi:10.1080/13658816.2014.917313 · Cited by 42
Quality-aware service-oriented data integration
Dustdar, S., Pichler, R., Savenkov, V., & Truong, H. (2012) · ACM SIGMOD Record · doi:10.1145/2206869.2206873 · Cited by 44
A Core Calculus for Provenance
Acar, U. A., Ahmed, A. J., Cheney, J., & Perera, R. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-28641-4_22 · Cited by 42
A historical and contemporary study on annotations to derive key features for systems design
Agosti, M., Bonfiglio-Dosio, G., & Ferro, N. (2007) · International Journal on Digital Libraries · doi:10.1007/s00799-007-0010-0 · Cited by 42
Provenance-Based Reproducibility in the Semantic Web
Moreau, L. (2011) · Journal of Web Semantics · doi:10.1016/j.websem.2011.03.001 · Cited by 42
Recursive Computation of Regions and Connectivity in Networks
Liu, M., Taylor, N. E., Zhou, W., Ives, Z. G., & Loo, B. T. (2009) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2009.36 · Cited by 41
Data Fusion: Resolving Conflicts from Multiple Sources
Dong, X. L., Berti‐Équille, L., & Srivastava, D. (2013) · Springer eBooks · doi:10.1007/978-3-642-36257-6_13 · Cited by 41
Beyond Pixels: Image Provenance Analysis Leveraging Metadata
Bharati, A., Moreira, D., Brogan, J., Hale, P., Bowyer, K. W., Flynn, P. J., Rocha, A. D. R., & Scheirer, W. J. (2019) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2019.00185 · Cited by 41
Process-Data Quality: The True Frontier of Process Mining
ter Hofstede, A. H. M., Koschmider, A., Marrella, A., Andrews, R., Fischer, D. A., Sadeghianasl, S., Wynn, M. T., Comuzzi, M., Weerdt, J. D., Goel, K., et al. (2023) · Journal of Data and Information Quality · doi:10.1145/3613247 · Cited by 46
Securing Data Provenance in the Cloud
Asghar, M. R., Ion, M., Russello, G., & Bruno Crispo, A. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-27585-2_12 · Cited by 40
Approximated Summarization of Data Provenance
Ainy, E., Bourhis, P., Davidson, S. B., Deutch, D., & Milo, T. (2015) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2806416.2806429 · Cited by 41
Provenance and Probabilities in Relational Databases
Senellart, P. P. (2018) · ACM SIGMOD Record · doi:10.1145/3186549.3186551 · Cited by 41
Grid middleware services for virtual data discovery, composition, and integration
Zhao, Y., Wilde, M., Foster, I. T., Voeckler, J., Jordan, T., Quigg, E., & Dobson, J. E. (2004) · doi:10.1145/1028493.1028503 · Cited by 40
On the Expressiveness of Implicit Provenance in Query and Update Languages
Buneman, P., Cheney, J., & Vansummeren, S. (2006) · Lecture notes in computer science · doi:10.1007/11965893_15 · Cited by 40
Self-citationBidirectional programming languages
Pierce, B. C., & Foster, J. N. (2009) · Cited by 39
On the Complexity of View Update Analysis and Its Application to Annotation Propagation
Cong, G., Fan, W., Geerts, F., Li, J., & Luo, J. (2011) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2011.27 · Cited by 39
A Big Data Provenance Model for Data Security Supervision Based on PROV-DM Model
Gao, Y., Chen, X., & Du, X. (2020) · IEEE Access · doi:10.1109/access.2020.2975820 · Cited by 39
Addressing the provenance challenge using ZOOM
Cohen‐Boulakia, S., Biton, O., Cohen, S., & Davidson, S. B. (2007) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.1232 · Cited by 39
Ghoshal, D., & Plale, B. (2013) · EDBT/ICDT Workshops · doi:10.1145/2457317.2457366 · Cited by 38
Fabbri, D., & LeFevre, K. (2011) · Proceedings of the VLDB Endowment · doi:10.14778/2047485.2047486 · Cited by 43
DBTaint: cross-application information flow tracking via databases
Davis, B. G., & Chen, H. (2010) · Cited by 38
Program Slicing and Data Provenance.
Cheney, J. (2007) · IEEE Data(base) Engineering Bulletin · Cited by 38
On Detecting Data Flow Errors in Workflows
Meda, H. S., Sen, A. K., & Bagchi, A. (2010) · Journal of Data and Information Quality · doi:10.1145/1805286.1805290 · Cited by 38
From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back
Bertossi, L., & Salimi, B. (2016) · Theory of Computing Systems · doi:10.1007/s00224-016-9718-9 · Cited by 38
Rojas, E., Doriguzzi-Corin, R., Tamurejo, S., Beato, A., Schwabe, A., Phemius, K., & Guerrero, C. (2018) · ACM Computing Surveys · doi:10.1145/3165290 · Cited by 37
Enabling precision medicine via standard communication of HTS provenance, analysis, and results
Alterovitz, G., Dean, D. A., Goble, C., Crusoe, M. R., Soiland‐Reyes, S., Bell, A. L., Hayes, A., Suresh, A., Purkayastha, A., King, C. H., et al. (2018) · PLoS Biology · doi:10.1371/journal.pbio.3000099 · Cited by 34
PATH-BASED SYSTEMS TO GUIDE SCIENTISTS IN THE MAZE OF BIOLOGICAL DATA SOURCES
Cohen‐Boulakia, S., Davidson, S. B., Froidevaux, C., Lacroix, Z., & Vidal, M.-E. (2006) · Journal of Bioinformatics and Computational Biology · doi:10.1142/s0219720006002375 · Cited by 36
Explaining Wrong Queries Using Small Examples
Miao, Z., Roy, S., & Yang, J. (2019) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3299869.3319866 · Cited by 37
Dataset Reuse: Toward Translating Principles to Practice
Koesten, L. M., Vougiouklis, P., Simperl, E. P. B., & Groth, P. (2020) · Patterns · doi:10.1016/j.patter.2020.100136 · Cited by 43
Provenance Aware Linked Sensor Data
Patni, H. K., Sahoo, S. S., Henson, C. A., & Sheth, A. (2010) · CORE Scholar (Wright State University) · Cited by 35
Classification of annotation semirings over containment of conjunctive queries
Kostylev, E. V., Reutter, J. L., & Salamon, A. Z. (2014) · ACM Transactions on Database Systems · doi:10.1145/2556524 · Cited by 36
Capturing and querying fine-grained provenance of preprocessing pipelines in data science
Chapman, A. P., Missier, P., Simonelli, G., & Torlone, R. (2020) · Proceedings of the VLDB Endowment · doi:10.14778/3436905.3436911 · Cited by 35
Schueler, B., Sizov, S., Staab, S., & Tran, D. T. (2008) · International World Wide Web Conference (WWW) · doi:10.1145/1367497.1367582 · Cited by 35
Document Provenance in the Cloud: Constraints and Challenges
Sakka, M. A., Defude, B., & Tellez, J. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13971-0_11 · Cited by 34
Complete yet practical search for minimal query reformulations under constraints
Ileana, I., Cautis, B., Deutsch, A., & Katsis, Y. (2014) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/2588555.2593683 · Cited by 34
Issues in Building Practical Provenance Systems.
Chapman, A. P., & Jagadish, H. V. (2007) · ePrints Soton (University of Southampton) · Cited by 34
Conjunctive Query Containment under Access Limitations
Calı̀, A., & Martinenghi, D. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-87877-3_24 · Cited by 34
Implementing interoperable provenance in biomedical research
Ćurčin, V., Miles, S., Dánger, R., Chen, Y., Bache, R., & Taweel, A. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.12.001 · Cited by 33
A roadmap for privacy-enhanced secure data provenance
Bertino, E., Ghinita, G., Kantarcıoğlu, M., Nguyen, D., Park, J. H., Sandhu, R. S., Sultana, S., Thuraisingham, B. M., & Xu, S. (2014) · Journal of Intelligent Information Systems · doi:10.1007/s10844-014-0322-7 · Cited by 33
Securing Data Provenance in Internet of Things (IoT) Systems
Baracaldo, N., Bathen, L. A. D., Ozugha, R. O., Engel, R., Tata, S., & Ludwig, H. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-68136-8_9 · Cited by 33
DAPV: Diagnosing Anomalies in MANETs Routing With Provenance and Verification
Li, T., Ma, J., Pei, Q., Song, H. H., Shen, Y., & Sun, C. (2019) · IEEE Access · doi:10.1109/access.2019.2903150 · Cited by 33
Closa, G., Masó, J., Proß, B., & Pons, X. (2017) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2017.01.008 · Cited by 33
Do You Know Where Your Data’s Been? – Tamper-Evident Database Provenance
Zhang, J., Chapman, A. P., & LeFevre, K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04219-5_2 · Cited by 33
A Collaborative Informatics Infrastructure for Multi-Scale Science
Myers, J. D., Allison, T. C., Bittner, S., Didier, B., Frenklach, M., Green, W. H., Ho, Y.-L., Hewson, J. C., Koegler, W. S., Lansing, C. S., et al. (2005) · Cluster Computing · doi:10.1007/s10586-005-4092-4 · Cited by 33
In reputation we believe: query processing in mobile ad-hoc networks
Perich, F., Joshi, A., Undercoffer, J., Finin, T., Kagal, L., & Yesha, Y. (2004) · EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) · doi:10.1109/mobiq.2004.1331739 · Cited by 33
Explaining outputs in modern data analytics
Chothia, Z., Liagouris, J., McSherry, F., & Roscoe, T. (2016) · Proceedings of the VLDB Endowment · doi:10.14778/2994509.2994530 · Cited by 31
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Lam, P., Dietrich, J. B., & Pearce, D. J. (2020) · ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward!) · doi:10.1145/3426428.3426922 · Cited by 32
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Souilah, I., Francalanza, A., & Vladimiro Sassone, C. (2009) · OAR@UM (University of Malta) · Cited by 32
Collusion-resilient quality of information evaluation based on information provenance
Wang, X., Govindan, K., & Mohapatra, P. (2011) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/sahcn.2011.5984923 · Cited by 32
Towards a secure and efficient system for end-to-end provenance
McDaniel, P. D., Butler, K. R. B., McLaughlin, S., Sion, R., Zadok, E., & Winslett, M. (2010) · doi:10.5555/1855795.1855797 · Cited by 32
Causes for query answers from databases: Datalog abduction, view-updates, and integrity constraints
Bertossi, L., & Salimi, B. (2017) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2017.07.010 · Cited by 32
Tracing lineage beyond relational operators
Zhang, M., Zhang, X., Zhang, X., & Prabhakar, S. (2007) · Purdue e-Pubs (Purdue University System) · Cited by 33
Data provenance in healthcare: approaches, challenges, and future directions
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Stoyanovich, J., Howe, B., Abiteboul, S., Miklau, G., Sahuguet, A., & Weikum, G. (2017) · International Conference on Scientific and Statistical Database Management · doi:10.1145/3085504.3085530 · Cited by 31
Applying Provenance in Distributed Organ Transplant Management
Álvarez-Napagao, S., Vázquez-Salceda, J., Kifor, T., Varga, L. Z., & Willmott, S. (2006) · Lecture notes in computer science · doi:10.1007/11890850_4 · Cited by 31
Development of foundation models for Internet of Things
Chen, L., Tseng, M. M., & Lian, X. (2010) · Frontiers of Computer Science in China · doi:10.1007/s11704-010-0385-8 · Cited by 31
Huang, J. (2008) · TSpace (University of Toronto) · Cited by 31
Provenance for natural language queries
Deutch, D., Frost, N., & Gilad, A. (2017) · Proceedings of the VLDB Endowment · doi:10.14778/3055540.3055550 · Cited by 31
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Phani, A., Rath, B., & Böehm, M. (2021) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3448016.3452788 · Cited by 30
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Deutch, D., Frost, N., Kimelfeld, B., & Monet, M. (2022) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3514221.3517912 · Cited by 30
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Vansummeren, S., & Cheney, J. (2007) · Document Server@UHasselt (UHasselt) · Cited by 31
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Glavic, B., & Alonso, G. (2009) · International Conference on Extending Database Technology (EDBT) · doi:10.1145/1516360.1516472 · Cited by 30
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Wang, S., Padmanabhan, A., Myers, J. D., Tang, W., & Yong, L. (2008) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/1463434.1463515 · Cited by 30
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Olufowobi, H., Engel, R., Baracaldo, N., Bathen, L. A. D., Tata, S., & Ludwig, H. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-68136-8_8 · Cited by 30
Virtual data Grid middleware services for data‐intensive science
Zhao, Y., Wilde, M., Foster, I. T., Voeckler, J., Dobson, J. E., Gilbert, E., Jordan, T., & Quigg, E. (2005) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.968 · Cited by 30
Towards a data-centric view of cloud security
Zhou, W., Sherr, M., Marczak, W. R., Zhang, Z., Tao, T., Loo, B. T., & Lee, I. (2010) · doi:10.1145/1871929.1871934 · Cited by 30
Data and Information Quality Research
Zhu, H., Madnick, S., Lee, Y. W., & Wang, R. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b16768-20 · Cited by 31
Miao, Z., Zeng, Q., Glavic, B., & Roy, S. (2019) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3299869.3300066 · Cited by 29
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Zhang, O. Q., Ko, R. K. L., Kirchberg, M., Suen, C. H., Jagadpramana, P., & Lee, B. (2012) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom.2012.175 · Cited by 29
Tracing the provenance of linked data using voiD
Omitola, T., Zuo, L., Gutteridge, C., Millard, I. C., Glaser, H., Gibbins, N. M., & Shadbolt, N. (2011) · International Conference on Web Intelligence, Mining and Semantics · doi:10.1145/1988688.1988709 · Cited by 29
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Osterweil, L. J., Clarke, L. A., Ellison, A. M., Podorozhny, R. M., Wise, A., Boose, E. R., & Hadley, J. L. (2008) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/1453101.1453147 · Cited by 29
Structured querying of web text
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Tsai, W., Wei, X., Zhang, D., Paul, R., Chen, Y., & Chung, J. (2007) · International Symposium on Autonomous Decentralized Systems · doi:10.1109/isads.2007.5 · Cited by 29
On the Limitations of Provenance for Queries With DifferencePreprint
Amsterdamer, Y., Deutch, D., & Tannen, V. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1105.2255 · Cited by 30
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Guimaraes, V., Hondo, F., Almeida, R., Olivera, H. V., de Holanda, M. T., Araújo, A., Walter, M. E. M. T., & Lifschitz, S. (2015) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2015.7359902 · Cited by 28
Wang, X., Meliou, A., & Wu, E. (2017) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3035918.3035925 · Cited by 28
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Bowers, S., & Ludäscher, B. (2006) · Lecture notes in computer science · doi:10.1007/11896548_54 · Cited by 28
Significant Properties as Contextual Metadata
Faniel, I. M., & Yakel, E. (2011) · Journal of Library Metadata · doi:10.1080/19386389.2011.629959 · Cited by 28
Causality and the Semantics of Provenance
Cheney, J. (2010) · Electronic Proceedings in Theoretical Computer Science · doi:10.4204/eptcs.26.6 · Cited by 28
Suggested Ontology for Pharmacogenomics (SO-Pharm): Modular Construction and Preliminary Testing
Coulet, A., Smaïl‐Tabbone, M., Napoli, A., & Devignes, M. (2006) · Lecture notes in computer science · doi:10.1007/11915034_89 · Cited by 28
Metadata
- Authors
- Buneman, P., Khanna, S., & Wang-Chiew, T.
- Affiliations
- University of Pennsylvania (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2001
- Pages
- 316-330
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1552694902
- Cited by
- 1,334
- References
- 15
- Citations by year
- 2026: 54 · 2025: 30 · 2024: 29 · 2023: 33 · 2022: 45 · 2021: 47 · 2020: 54 · 2019: 59 · 2018: 54 · 2017: 57 · 2016: 61 · 2015: 57 · 2014: 58 · 2013: 80 · 2012: 81
- FWCI
- 9.63
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- Lecture notes in computer science (publishedVersion)
- ScholarlyCommons (University of Pennsylvania) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Advanced Database Systems and Queries
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- data provenance, database views, relational databases, XML data, hierarchical data
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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