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020 _a9783319405933
_9978-3-319-40593-3
024 7 _a10.1007/978-3-319-40593-3
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
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_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aProvenance and Annotation of Data and Processes
_h[electronic resource] :
_b6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings /
_cedited by Marta Mattoso, Boris Glavic.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXI, 236 p. 80 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9672
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval.
650 0 _aArtificial intelligence.
650 0 _aComputers and civilization.
650 0 _aManagement information systems.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aManagement of Computing and Information Systems.
650 2 4 _aComputers and Society.
700 1 _aMattoso, Marta.
_eeditor.
700 1 _aGlavic, Boris.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319405926
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9672
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-40593-3
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