Provenance and Annotation of Data and Processes: 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings PDF
Preview Provenance and Annotation of Data and Processes: 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings
Khalid Belhajjame Ashish Gehani Pinar Alper (Eds.) Provenance 7 1 0 and Annotation of Data 1 1 S C and Processes N L 7th International Provenance and Annotation Workshop, IPAW 2018 London, UK, July 9–10, 2018, Proceedings 123 Lecture Notes in Computer Science 11017 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology Madras, Chennai, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany More information about this series at http://www.springer.com/series/7409 Khalid Belhajjame Ashish Gehani (cid:129) Pinar Alper (Eds.) Provenance and Annotation of Data and Processes 7th International Provenance and Annotation Workshop, IPAW 2018 – London, UK, July 9 10, 2018 Proceedings 123 Editors KhalidBelhajjame PinarAlper Paris Dauphine University University of Luxembourg Paris Belvaux France Luxembourg AshishGehani SRIInternational Menlo Park, CA USA ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notesin Computer Science ISBN 978-3-319-98378-3 ISBN978-3-319-98379-0 (eBook) https://doi.org/10.1007/978-3-319-98379-0 LibraryofCongressControlNumber:2018951244 LNCSSublibrary:SL3–InformationSystemsandApplications,incl.Internet/Web,andHCI ©SpringerNatureSwitzerlandAG2018 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface This volume contains the proceedings of the 7th International Provenance and Annotation Workshop (IPAW), held during July 9–10, 2018, at King’s College in London, UK. For the third time, IPAW was co-located with the Workshop on the Theory and Practice of Provenance (TaPP). Together, the two leading provenance workshops anchored Provenance Week 2018, a full week of provenance-related activitiesthatincludedasharedpostersessionandthreeotherworkshopsonalgorithm accountability, incremental re-computation, and security. The proceedings of IPAW include 12 long papers that report in-depth the results of research around provenance, two system demonstration papers, and 19 poster papers. IPAW 2018 provided a rich program with a variety of provenance-related topics rangingfromthecaptureandinference ofprovenancetoitsuseandapplication.Since provenance is a key ingredient to enable reproducibility, several papers have investi- gatedmeansforenablingdataflowsteeringandprocessre-computation.Themodeling of provenance and its simulation has been the subject of a number of papers, which tackled issues that seek, among other things, to model provenance in software engi- neeringactivitiesortouseprovenancetomodelaspectsoftheEuropeanUnionGeneral Data Protection Regulation. Other papers investigated inference techniques to propa- gate beliefs in provenance graphs, efficiently update RDF graphs, mine similarities between processes, and discover workflow schema-level dependencies. This year’s program also featured extensions of the W3C Prov recommendation to support new features,e.g.,versioningofmutableentities,orcaterfornewdomainknowledge,e.g., astronomy. Inclosing,wewouldliketothankthemembersoftheProgramCommitteefortheir thoughtful reviews, Vasa Curcin and Simon Miles for the local organization of IPAW andtheProvenanceWeekatKing’sCollege,London,andtheauthorsandparticipants for making IPAW a successful event. June 2018 Khalid Belhajjame Ashish Gehani Pinar Alper Organization Program Committee Pinar Alper University of Luxembourg, Luxembourg Ilkay Altintas SDSC, USA David Archer Galois, Inc., USA Khalid Belhajjame University of Paris-Dauphine, France Vanessa Braganholo UFF, Brazil Kevin Butler University of Florida, USA Sarah Cohen-Boulakia LRI, University of Paris-Sud, France Oscar Corcho Universidad Politécnica de Madrid, Spain Vasa Curcin King’s College London, UK Susan Davidson University of Pennsylvania, USA Daniel de Oliveira Fluminense Federal University, Brazil Saumen Dey University of California, Davis, USA Alban Gaignard CNRS, France Daniel Garijo Information Sciences Institute, USA Ashish Gehani SRI International, USA Paul Groth Elsevier Labs, The Netherlands Trung Dong Huynh King’s College London, UK Grigoris Karvounarakis LogicBlox, Greece David Koop University of Massachusetts Dartmouth, USA Bertram Ludaescher University of Illinois at Urbana-Champaign, USA Tanu Malik University of Chicago, USA Marta Mattoso Federal University of Rio de Janeiro, Brazil Deborah McGuinness Rensselaer Polytechnic Institute (RPI), USA Simon Miles King’s College London, UK Paolo Missier Newcastle University, UK Luc Moreau King’s College London, UK Beth Plale Indiana University Bloomington, USA Satya Sahoo Case Western Reserve University, USA Stian Soiland-Reyes The University of Manchester, UK Jun Zhao University of Oxford, UK Additional Reviewers Carvalho, Lucas Augusto Pimentel, João Montalvão Costa Rashid, Sabbir Cała, Jacek Souza, Renan Chagas, Clayton Yan, Rui Contents Reproducibility Provenance Annotation and Analysis to Support Process Re-computation. . . . 3 Jacek Cała and Paolo Missier Provenance of Dynamic Adaptations in User-Steered Dataflows . . . . . . . . . . 16 Renan Souza and Marta Mattoso Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 Joshua Valdez, Matthew Kim, Michael Rueschman, Susan Redline, and Satya S. Sahoo Modeling, Simulating and Capturing Provenance A Provenance Model for the European Union General Data Protection Regulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Benjamin E. Ujcich, Adam Bates, and William H. Sanders Automating Provenance Capture in Software Engineering with UML2PROV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Carlos Sáenz-Adán, Luc Moreau, Beatriz Pérez, Simon Miles, and Francisco J. García-Izquierdo Simulated Domain-Specific Provenance. . . . . . . . . . . . . . . . . . . . . . . . . . . 71 Pinar Alper, Elliot Fairweather, and Vasa Curcin PROV Extensions Versioned-PROV: A PROV Extension to Support Mutable Data Entities. . . . 87 João Felipe N. Pimentel, Paolo Missier, Leonardo Murta, and Vanessa Braganholo Using the Provenance from Astronomical Workflows to Increase Processing Efficiency. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 Michael A. C. Johnson, Luc Moreau, Adriane Chapman, Poshak Gandhi, and Carlos Sáenz-Adán VIII Contents Scientific Workflows Discovering Similar Workflows via Provenance Clustering: A Case Study. . . 115 Abdussalam Alawini, Leshang Chen, Susan Davidson, Stephen Fisher, and Junhyong Kim Validation and Inference of Schema-Level Workflow Data-Dependency Annotations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 Shawn Bowers, Timothy McPhillips, and Bertram Ludäscher Applications Belief Propagation Through Provenance Graphs . . . . . . . . . . . . . . . . . . . . . 145 BelfritVictorBatlajery,MarkWeal,AdrianeChapman,andLucMoreau Using Provenance to Efficiently Propagate SPARQL Updates on RDF Source Graphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158 Iman Naja and Nicholas Gibbins System Demonstrations Implementing Data Provenance in Health Data Analytics Software . . . . . . . . 173 Shen Xu, Elliot Fairweather, Toby Rogers, and Vasa Curcin Quine: A Temporal Graph System for Provenance Storage and Analysis . . . . 177 Ryan Wright Joint IPAW/TaPP Poster Session CapturingProvenanceforRuntimeDataAnalysisinComputationalScience and Engineering Applications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 Vítor Silva, Renan Souza, Jose Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro L. G. A. Coutinho, and Marta Mattoso UniProv - Provenance Management for UNICORE Workflows in HPC Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188 André Giesler, Myriam Czekala, and Björn Hagemeier Towards a PROV Ontology for Simulation Models. . . . . . . . . . . . . . . . . . . 192 Andreas Ruscheinski, Dragana Gjorgevikj, Marcus Dombrowsky, Kai Budde, and Adelinde M. Uhrmacher Capturing the Provenance of Internet of Things Deployments. . . . . . . . . . . . 196 David Corsar, Milan Markovic, and Peter Edwards Contents IX Towards Transparency of IoT Message Brokers . . . . . . . . . . . . . . . . . . . . . 200 Milan Markovic, David Corsar, Waqar Asif, Peter Edwards, and Muttukrishnan Rajarajan Provenance-Based Root Cause Analysis for Revenue Leakage Detection: A Telecommunication Case Study. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 Wisam Abbasi and Adel Taweel Case Base Reasoning Decision Support Using the DecPROV Ontology for Decision Modelling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208 Nicholas J. Car Bottleneck Patterns in Provenance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 Sara Boutamina, James D. A. Millington, and Simon Miles Architecture for Template-Driven Provenance Recording . . . . . . . . . . . . . . . 217 Elliot Fairweather, Pinar Alper, Talya Porat, and Vasa Curcin Combining Provenance Management and Schema Evolution. . . . . . . . . . . . . 222 Tanja Auge and Andreas Heuer Provenance for Entity Resolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 Sarah Oppold and Melanie Herschel Where Provenance in Database Storage . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 Alexander Rasin, Tanu Malik, James Wagner, and Caleb Kim Streaming Provenance Compression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 Raza Ahmad, Melanie Bru, and Ashish Gehani Structural Analysis of Whole-System Provenance Graphs. . . . . . . . . . . . . . . 241 Jyothish Soman, Thomas Bytheway, Lucian Carata, Nikilesh D. Balakrishnan, Ripduman Sohan, and Robert N. M. Watson A Graph Testing Framework for Provenance Network Analytics. . . . . . . . . . 245 Bernard Roper, Adriane Chapman, David Martin, and Jeremy Morley Provenance for Astrophysical Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252 Anastasia Galkin, Kristin Riebe, Ole Streicher, Francois Bonnarel, Mireille Louys, Michèle Sanguillon, Mathieu Servillat, and Markus Nullmeier Data Provenance in Agriculture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 Sérgio Manuel Serra da Cruz, Marcos Bacis Ceddia, Renan Carvalho Tàvora Miranda, Gabriel Rizzo, Filipe Klinger, Renato Cerceau, Ricardo Mesquita, Ricardo Cerceau, Elton Carneiro Marinho, Eber Assis Schmitz, Elaine Sigette, and Pedro Vieira Cruz
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