LEADER 05960nam 22007935 450 001 9910483281603321 005 20200701032428.0 010 $a3-319-40593-4 024 7 $a10.1007/978-3-319-40593-3 035 $a(CKB)3710000000718325 035 $a(DE-He213)978-3-319-40593-3 035 $a(MiAaPQ)EBC6306750 035 $a(MiAaPQ)EBC5578637 035 $a(Au-PeEL)EBL5578637 035 $a(OCoLC)951465065 035 $a(PPN)194378519 035 $a(EXLCZ)993710000000718325 100 $a20160603d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProvenance and Annotation of Data and Processes $e6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings /$fedited by Marta Mattoso, Boris Glavic 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XI, 236 p. 80 illus.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v9672 300 $aIncludes index. 311 $a3-319-40592-6 327 $aRecProv: Towards Provenance-Aware Userspace Record and Replay -- Tracking and Analyzing the Evolution of Provenance from Scripts -- Trade-offs in Automatic Provenance Capture -- Analysis of Memory Constrained Live Provenance -- Analyzing Provenance across Heterogeneous Provenance Graphs -- Prov Viewer: A Graph-Based Visualization Tool for Interactive Exploration of Provenance Data -- Intermediate Notation for Provenance and Workflow Reproducibility -- Towards the Domain Agnostic Generation of Natural Language Explanations from Provenance Graphs for Casual Users -- Versioning Version Trees: The Provenance of Actions that Affect Multiple Versions -- Enabling Web Service Request Citation by Provenance Information -- Modelling Provenance of Sensor Data for Food Safety Compliance Checking -- Modelling Provenance Collection Points and Their Impact on Provenance Graphs -- Yin & Yang: Demonstrating Complementary Provenance from NoWorkflow & YesWorkflow -- MPO: a System to Document and Analyze Distributed Heterogeneous Workflows -- PROV-JSONLD: A JSON and Linked Data Representation for Provenance -- Provenance as Essential Infrastructure for Data Lakes -- Provenance-Based Retrieval: Fostering Reuse and Reproducibility across Scientific Disciplines -- Addressing Scientific Rigor in Data Analytics Using Semantic Workflows -- Reconstructing Human-Generated Provenance through Similarity-Based Clustering -- Social Media Data in Research: Provenance Challenges -- Fine-Grained Provenance Collection over Scripts Through Program Slicing -- Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs -- Implementing Unied Why- and Why-Not Provenance through Games -- SisGExp: Rethinking Long-Tail Agronomic Experiments -- Towards Provenance Capturing of Quantified Self Data -- A Review of Guidelines and Models for Representation of Provenance Information from Neuroscience Experiments -- Tracking and Establishing Provenance of Earth Science Datasets: A NASA-Based Example -- DataONE: A Data Federation with Provenance Support. 330 $aThis book constitutes the refereed proceedings of the 6th International Provenance and Annotation Workshop, IPAW 2016, held in McLean, VA, USA, in June 2016. The 12 revised full papers, 14 poster papers, and 2 demonstration papers presented were carefully reviewed and selected from 54 submissions. The papers feature state-of-the-art research and practice around the automatic capture, representation, and use of provenance. They are organized in topical sections on provenance capture, provenance analysis and visualization, and provenance models and applications. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v9672 606 $aArtificial intelligence 606 $aDatabase management 606 $aInformation storage and retrieval 606 $aApplication software 606 $aManagement information systems 606 $aComputer science 606 $aComputers and civilization 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aManagement of Computing and Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I24067 606 $aComputers and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/I24040 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aInformation storage and retrieval. 615 0$aApplication software. 615 0$aManagement information systems. 615 0$aComputer science. 615 0$aComputers and civilization. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aManagement of Computing and Information Systems. 615 24$aComputers and Society. 676 $a005.74 702 $aMattoso$b Marta$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGlavic$b Boris$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483281603321 996 $aProvenance and Annotation of Data and Processes$92084187 997 $aUNINA