Advancing interoperability of geospatial data provenance on the web: Gap analysis and strategies

Abstract Geospatial data provenance is a fundamental issue in distributing spatial information on the Web. In the geoinformatics domain, provenance is often referred to as lineage. While the ISO 19115 lineage model is used widely in spatial data infrastructures, W3C has recommended the W3C provenance (PROV) data model for capturing and sharing provenance information on the Web. The use of these two separate efforts needs to be harmonized so that geospatial information does not remain an isolated area on the Web. Motivated by several domain use cases, we synthesize a list of provenance questions and analyze gaps between the two models in addressing these questions. Our strategy is to enrich W3C PROV with domain semantics from the ISO 19115 lineage model by suggesting ways to bridge them. A semantic mapping between the ISO lineage model and the W3C PROV model is formalized, and key issues involved are discussed. Use cases illustrate the applicability of the approach.

[1]  Joan Masó-Pau,et al.  W3C PROV to describe provenance at the dataset, feature and attribute levels in a distributed environment , 2017, Comput. Environ. Urban Syst..

[2]  Yolanda Gil,et al.  Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data , 2012, LISC@ISWC.

[3]  Jinguang Zheng,et al.  Ontology engineering in provenance enablement for the National Climate Assessment , 2014, Environ. Model. Softw..

[4]  Joan Masó-Pau,et al.  Building the World Wide Hypermap (WWH) with a RESTful architecture , 2014, Int. J. Digit. Earth.

[5]  Ming-Hsiang Tsou,et al.  Revisiting Web Cartography in the United States: the Rise of User-Centered Design , 2011 .

[6]  Sergio J. Rey,et al.  Metadata and provenance for spatial analysis: the case of spatial weights , 2014, Int. J. Geogr. Inf. Sci..

[7]  Shaowen Wang.  A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis , 2010 .

[8]  Peng Yue,et al.  A Linked Data Approach for Geospatial Data Provenance , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Krzysztof Janowicz,et al.  Linked Data - A Paradigm Shift for Geographic Information Science , 2014, GIScience.

[10]  Stefano Nativi,et al.  RESTful implementation of geospatial services for Earth and Space Science applications , 2009, Int. J. Digit. Earth.

[11]  Liping Di,et al.  Geoscience Data Provenance: An Overview , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Yogesh L. Simmhan,et al.  The Open Provenance Model core specification (v1.1) , 2011, Future Gener. Comput. Syst..

[13]  Liping Di,et al.  Sharing geospatial provenance in a service-oriented environment , 2011, Comput. Environ. Urban Syst..

[14]  Liping Di,et al.  GeoPW: Laying Blocks for the Geospatial Processing Web , 2010, Trans. GIS.

[15]  Daniel Z. Sui,et al.  From GIS to neogeography: ontological implications and theories of truth , 2010, Ann. GIS.

[16]  Mark Gahegan,et al.  Geospatial Cyberinfrastructure: Past, present and future , 2010, Comput. Environ. Urban Syst..

[17]  Nicholas Chrisman,et al.  Part 2: Issues and Problems Relating to Cartographic Data Use, Exchange and Transfer: The Role Of Quality Information In The Long-Term Functioning Of A Geographic Information System , 1984 .

[18]  Liping Di,et al.  Adding Geospatial Data Provenance into SDI—A Service-Oriented Approach , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[19]  Peng Yue,et al.  RESTFUL IMPLEMENTATION OF CATALOGUE SERVICE FOR GEOSPATIAL DATA PROVENANCE , 2013 .

[20]  Peng Yue,et al.  Linked Data and SDI: The case on Web geoprocessing workflows , 2016 .

[21]  C. Perkins.  Plotting practices and politics: (Im)mutable narratives in OpenStreetMap , 2014 .

[22]  D. Lanter.  Design of a Lineage-Based Meta-Data Base for GIS , 1991 .

[23]  Liping Di,et al.  Augmenting geospatial data provenance through metadata tracking in geospatial service chaining , 2010, Comput. Geosci..

[24]  Rahul Ramachandran,et al.  Recent Activities in Earth Data Science [Technical Committees] , 2016, IEEE Geoscience and Remote Sensing Magazine.

[25]  M. Goodchild,et al.  Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice , 2012 .

[26]  Peter Mooney,et al.  Conceptualising the geographic world: the dimensions of negotiation in crowdsourced cartography , 2015, Int. J. Geogr. Inf. Sci..

[27]  Yuanzheng Shao,et al.  Implementation of Geospatial Data Provenance in a Web Service Workflow Environment With ISO 19115 and ISO 19115-2 Lineage Model , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Markus Metz,et al.  GRASS GIS: A multi-purpose open source GIS , 2012, Environ. Model. Softw..

[29]  Deborah L. McGuinness,et al.  Provenance Representation for the National Climate Assessment in the Global Change Information System , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[30]  Stephan Mäs,et al.  Provenance Information in Geodata Infrastructures , 2013, AGILE Conf..

[31]  Peng Yue,et al.  Model provenance tracking and inference for integrated environmental modelling , 2017, Environ. Model. Softw..

[32]  Peng Yue,et al.  Towards intelligent GIServices , 2015, Earth Science Informatics.

[33]  Chen-Chieh Feng.  Mapping Geospatial Metadata to Open Provenance Model , 2013, IEEE Transactions on Geoscience and Remote Sensing.