{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T04:04:48Z","timestamp":1751861088604,"version":"3.41.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319983783"},{"type":"electronic","value":"9783319983790"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-98379-0_29","type":"book-chapter","created":{"date-parts":[[2018,9,5]],"date-time":"2018-09-05T13:23:06Z","timestamp":1536153786000},"page":"245-251","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Graph Testing Framework for Provenance Network Analytics"],"prefix":"10.1007","author":[{"given":"Bernard","family":"Roper","sequence":"first","affiliation":[]},{"given":"Adriane","family":"Chapman","sequence":"additional","affiliation":[]},{"given":"David","family":"Martin","sequence":"additional","affiliation":[]},{"given":"Jeremy","family":"Morley","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,6]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Yue, P., Zhang, M., Guo, X., Tan Z.: Granularity of geospatial data provenance. In: 2014 IEEE Geoscience and Remote Sensing Symposium, pp. 4492\u20134495 (2014)","DOI":"10.1109\/IGARSS.2014.6947490"},{"key":"29_CR2","unstructured":"Maso, J., Pross, B., Gil, Y., Closa, G. (eds.): Testbed 10 Provenance Engineering Report. OGC, 14 July 2014"},{"key":"29_CR3","unstructured":"Yue, P., Gong, J., Di, L., He, L., Wei, Y.: Semantic provenance registration and discovery using geospatial catalogue service. In: Proceedings 2nd International Workshop on the Role of Semantic Web in Provenance Management, Shanghai, China, pp. 23\u201328 (2010)"},{"key":"29_CR4","doi-asserted-by":"publisher","first-page":"1592","DOI":"10.1016\/j.procs.2017.05.216","volume":"108","author":"W Oliveira","year":"2017","unstructured":"Oliveira, W., Ambr\u00f3sio, L.M., Braga, R., Str\u00f6ele, V., David, J.M., Campos, F.: A framework for provenance analysis and visualization. Procedia Comput. Sci. 108, 1592\u20131601 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"29_CR5","unstructured":"Acar, U., Buneman, P., Cheney J.: A graph model of data and workflow provenance, p. 10 (2010)"},{"key":"29_CR6","unstructured":"Miles, S., Groth, P., Branco, M., Moreau, L.: The requirements of recording and using provenance in e-science experiments, p. 15 (2007)"},{"key":"29_CR7","unstructured":"Davidson, S., et al.: Provenance in scientific workflow systems, p. 7 (2007)"},{"key":"29_CR8","doi-asserted-by":"crossref","unstructured":"Moreau, L.: Aggregation by provenance types: a technique for summarising provenance graphs. In: Electronic Proceedings in Theoretical Computer Science, vol. 181, pp. 129\u2013144, April 2015","DOI":"10.4204\/EPTCS.181.9"},{"key":"29_CR9","unstructured":"Macko, P., Seltzer, M.: Provenance map orbiter: interactive exploration of large provenance graphs, p. 6 (2011)"},{"key":"29_CR10","doi-asserted-by":"crossref","unstructured":"Huynh, T.D., Ebden, M., Venanzi, M., Ramchurn, S.D., Roberts, S., Moreau, L.: Interpretation of crowdsourced activities using provenance network analysis. In: First AAAI Conference on Human Computation and Crowdsourcing (2013)","DOI":"10.1609\/hcomp.v1i1.13067"},{"key":"29_CR11","doi-asserted-by":"crossref","unstructured":"Huynh, T.D., Ebden, M., Fischer, J., Roberts, S., Moreau, L.: Provenance network analytics: an approach to data analytics using data provenance. In: Data Mining and Knowledge Discovery, February 2018","DOI":"10.1007\/s10618-017-0549-3"},{"key":"29_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1007\/978-3-642-34222-6_13","volume-title":"Provenance and Annotation of Data and Processes","author":"M Ebden","year":"2012","unstructured":"Ebden, M., Huynh, T.D., Moreau, L., Ramchurn, S., Roberts, S.: Network analysis on provenance graphs from a crowdsourcing application. In: Groth, P., Frew, J. (eds.) IPAW 2012. LNCS, vol. 7525, pp. 168\u2013182. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-34222-6_13"},{"key":"29_CR13","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199206650.001.0001","volume-title":"Networks: An Introduction","author":"MEJ Newman","year":"2010","unstructured":"Newman, M.E.J.: Networks: An Introduction. Oxford University Press, Oxford\/New York (2010)"},{"key":"29_CR14","unstructured":"Roper, B.: Investigating the role of data provenance in assessing variations in the quality of open street map data, MSc, University of Southampton (2017)"},{"key":"29_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-16462-5_1","volume-title":"Provenance and Annotation of Data and Processes","author":"P Missier","year":"2015","unstructured":"Missier, P., Bryans, J., Gamble, C., Curcin, V., Danger, R.: ProvAbs: Model, policy, and tooling for abstracting PROV graphs. In: Lud\u00e4scher, B., Plale, B. (eds.) IPAW 2014. LNCS, vol. 8628, pp. 3\u201315. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16462-5_1"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"Pasquier, T., et al.: Practical Whole-System Provenance Capture, pp. 405\u2013418 (2017). arXiv:1711.05296 [cs]","DOI":"10.1145\/3127479.3129249"},{"key":"29_CR17","unstructured":"De Nies, T., et al.: Git2PROV: exposing version control system content as W3C PROV. In: Poster and Demo Proceedings of the 12th International Semantic Web Conference, vol. 1035, pp. 125\u2013128 (2013)"},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Ghoshal, D., Plale, B.: Provenance from log files: a BigData problem, p. 290 (2013)","DOI":"10.1145\/2457317.2457366"},{"key":"29_CR19","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-79450-6","volume-title":"Provenance: An Introduction to PROV","author":"L Moreau","year":"2013","unstructured":"Moreau, L., Groth, P.: Provenance: An Introduction to PROV. Morgan & Claypool Publishers, San Rafael (2013)"},{"key":"29_CR20","unstructured":"prot\u00e9g\u00e9. https:\/\/protege.stanford.edu\/ . Accessed 07 April 2018"},{"issue":"Oct","key":"29_CR21","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12(Oct), 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Provenance and Annotation of Data and Processes"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-98379-0_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T21:54:17Z","timestamp":1751838857000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-98379-0_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319983783","9783319983790"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-98379-0_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}