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Geoscience data provenance : An overview / Liping Di in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5065 - 5072 Titre : Geoscience data provenance : An overview Type de document : Article/Communication Auteurs : Liping Di, Auteur ; Peng Yue, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 5065 - 5072 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] acquisition de données [Termes IGN] cyberinfrastructure [Termes IGN] données localisées [Termes IGN] état de l'art [Termes IGN] processus spatio-temorel [Termes IGN] service web [Termes IGN] source de données [Termes IGN] utilisateur Résumé : (Auteur) The advancement of Earth observing sensors, data, and information systems enhances significantly the capabilities to access and process large volumes of geoscience data, which are often consumed by scientific workflows and processed in a distributed information environment. Consequently, data provenance becomes important since it allows users to determine the usability and reliability of data products. Motivation for capturing and sharing provenance also comes from the distributed data and information infrastructure that has been benefiting the Earth science community in the past decade, such as spatial data and information infrastructure, e-Science, and cyberinfrastructure. This paper provides an overview of geoscience data provenance in supporting provenance-aware geoscience data and information systems by summarizing state-of-the-art technologies and methodologies of geoscience data provenance and highlighting key considerations and possible solutions for geoscience data provenance. Numéro de notice : A2013-610 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2242478 En ligne : https://doi.org/10.1109/TGRS.2013.2242478 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32746 [article]

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Provenance capture and use in a satellite data processing pipeline / Scott Jensen in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5090 - 5097 Titre : Provenance capture and use in a satellite data processing pipeline Type de document : Article/Communication Auteurs : Scott Jensen, Auteur ; Beth Plale, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 5090 - 5097 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] acquisition d'images [Termes IGN] acquisition de données [Termes IGN] architecture pipeline (processeur) [Termes IGN] image Aqua-AMSR [Termes IGN] source de données [Termes IGN] télédétection en hyperfréquence Résumé : (Auteur) With the interdependencies that exist between data in a scientific processing pipeline, the ability to track the provenance of the scientific process through multiple stages is necessary to determining the usability of the resulting data product. In this paper, we study the capture of provenance from an existing NASA instrument ingest pipeline. Since instrumenting the scientific code for a production system is not feasible, we show how provenance events can be scavenged from log files to generate detailed provenance graphs. Through extensions to the Karma provenance system, which have been implemented on a test instance of the AMSR-E production data pipeline, we determine that when the volume of provenance information is high, provenance graph visualizations provide a good tool for monitoring the ingest pipeline and identifying processing differences in ways not seen before. Two novel uses of provenance that we present in this paper are comparisons between processing runs and forward provenance for viewing downstream dependencies. Numéro de notice : A2013-611 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2266929 En ligne : https://doi.org/10.1109/TGRS.2013.2266929 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32747 [article]

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Introducing provenance capture into a legacy data system / Helen Conover in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5098 - 5104 Titre : Introducing provenance capture into a legacy data system Type de document : Article/Communication Auteurs : Helen Conover, Auteur ; Rahul Ramachandran, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 5098 - 5104 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] données localisées [Termes IGN] droit [Termes IGN] généalogie des données [Termes IGN] métadonnées [Termes IGN] norme ISO [Termes IGN] qualité des données [Termes IGN] source de données [Termes IGN] traitement de données localisées [Termes IGN] traitement interactif Résumé : (Auteur) Accurate provenance information facilitates improved understanding of Earth science data and scientific reproducibility and can serve as an indicator of data quality. Provenance capture is an integral part of many modern workflow systems but may not have been considered in the design of legacy data production systems. Furthermore, in addition to data lineage, it is also important to capture contextual information needed for understanding how a data set was produced. This paper describes our experience in retrofitting a legacy data system to support capture, storage, and dissemination of provenance. Data inputs and transformations are logged automatically, while broader context information describing science algorithms and ancillary files is manually compiled. Provenance and context information are integrated for interactive user access and embedded into data files as XML documents compliant with the “Lineage” specification for geographic metadata defined by the International Organization for Standardization in the ISO 19115-2 standard. Lessons learned from this approach can inform others who need to incorporate provenance into a data system after the fact. Numéro de notice : A2013-612 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2282817 En ligne : https://doi.org/10.1109/TGRS.2013.2282817 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32748 [article]

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An inference-based framework to manage data provenance in geoscience applications / Mohammad Rezwanul Huq in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5113 - 5130 Titre : An inference-based framework to manage data provenance in geoscience applications Type de document : Article/Communication Auteurs : Mohammad Rezwanul Huq, Auteur ; Peter M.G. Apers, Auteur ; Andreas Wombacher, Auteur Année de publication : 2013 Article en page(s) : pp 5113 - 5130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] flux de travaux [Termes IGN] inférence [Termes IGN] moteur d'inférence [Termes IGN] source de données [Termes IGN] synergiciel [Termes IGN] traitement de données localisées Résumé : (Auteur) Data provenance allows scientists to validate their model as well as to investigate the origin of an unexpected value. Furthermore, it can be used as a replication recipe for output data products. However, capturing provenance requires enormous effort by scientists in terms of time and training. First, they need to design the workflow of the scientific model, i.e., workflow provenance, which requires both time and training. However, in practice, scientists may not document any workflow provenance before the model execution due to the lack of time and training. Second, they need to capture provenance while the model is running, i.e., fine-grained data provenance. Explicit documentation of fine-grained provenance is not feasible because of the massive storage consumption by provenance data in the applications, including those from the geoscience domain where data are continuously arriving and are processed. In this paper, we propose an inference-based framework, which provides both workflow and fine-grained data provenance at a minimal cost in terms of time, training, and disk consumption. Our proposed framework is applicable to any given scientific model, and is capable of handling different model dynamics, such as variation in the processing time as well as input data products arrival pattern. Our evaluation of the framework in a real use case with geospatial data shows that the proposed framework is relevant and suitable for scientists in geoscientific domain. Numéro de notice : A2013-613 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2247769 En ligne : https://doi.org/10.1109/TGRS.2013.2247769 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32749 [article]

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Human computation VGI provenance : Semantic web-based representation and publishing / Irene Celino in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5137 - 5144 Titre : Human computation VGI provenance : Semantic web-based representation and publishing Type de document : Article/Communication Auteurs : Irene Celino, Auteur Année de publication : 2013 Article en page(s) : pp 5137 - 5144 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] données localisées des bénévoles [Termes IGN] qualité des données [Termes IGN] représentation des données [Termes IGN] service web sémantique [Termes IGN] source de données [Termes IGN] web 2.0 [Termes IGN] web sémantique Résumé : (Auteur) The collection of volunteered geographic information (VGI) is a user-generated content practice to engage a large number of citizens to collectively create geospatial data. Based on the advent of Web 2.0 and the recent increasing popularity of crowdsourcing approaches, VGI has gained the interest of the geoscience community, because of its ability to complement the collection of geographic information coming from traditional sensing technologies. However, the involvement of a crowd of volunteers, potentially untrained or nonexperts, implies that VGI can be of varying quality. Tracing VGI provenance enables the recording of the collection activity; the information about who gathered what, where and when can then be employed to judge the VGI quality. In this paper, we focus on the adoption of a provenance-based Human Computation approach to aggregate and consolidate VGI. We discuss the representation, inference and publication of Human Computation VGI and its provenance. As more and more of those community-based data collection efforts happen on the Web, we propose the adoption of Semantic Web technologies, through employing an ontological formulation to capture provenance and by following Linked Data principles to publish provenance data on the Web. Numéro de notice : A2013-614 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2252015 En ligne : https://doi.org/10.1109/TGRS.2013.2252015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32750 [article]

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Airborne prism experiment calibration information system / Andreas Hueni in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5169 - 5180 Titre : Airborne prism experiment calibration information system Type de document : Article/Communication Auteurs : Andreas Hueni, Auteur ; Karim Lenhard, Auteur ; Andreas Baumgartner, Auteur ; Michael E. Schaepman, Auteur Année de publication : 2013 Article en page(s) : pp 5169 - 5180 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] Airborne Prism Experiment [Termes IGN] base de données relationnelles [Termes IGN] capteur en peigne [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] image APEX [Termes IGN] Java (langage de programmation) [Termes IGN] Matlab [Termes IGN] spectromètre imageur [Termes IGN] spectroscopie [Termes IGN] traçabilité Résumé : (Auteur) The calibration of remote sensing instruments is a crucial step in the generation of products tied to international reference standards. Calibrating imaging spectrometers is particularly demanding due to the high number of spatiospectral pixels and, consequently, the large amount of data acquired during calibration sequences. Storage of these data and associated metadata in an organized manner, as well as the provision of efficient tools for the data analysis and fast and repeatable calibration coefficient generation with provenance information, is key to the provision of traceable measurements. The airborne prism experiment (APEX) calibration information system is a multilayered information technology solution comprising a database based on the entity-attribute-value (EAV) paradigm and software written in Java and Matlab, providing data access, visualization and processing, and handling the data volumes over the expected lifetime of the system. Although developed in the context of APEX, the system is rather generic and may be adapted to other pushbroom-based imagers with little effort. Numéro de notice : A2013-615 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2246575 En ligne : https://doi.org/10.1109/TGRS.2013.2246575 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32751 [article]

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Mapping geospatial metadata to open provenance model / Chieh-Chieh Feng in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5073 - 5081 Titre : Mapping geospatial metadata to open provenance model Type de document : Article/Communication Auteurs : Chieh-Chieh Feng, Auteur Année de publication : 2013 Article en page(s) : pp 5073 - 5081 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] base de métadonnées [Termes IGN] données ouvertes [Termes IGN] généalogie des données [Termes IGN] infrastructure mondiale des données localisées [Termes IGN] logiciel libre [Termes IGN] norme de données localisées [Termes IGN] RDF [Termes IGN] source de données Résumé : (Auteur) This paper maps the data lineage entities in ISO19115 and ISO19115-2, the metadata standards of the International Organization for Standardization for geographic information and for imagery and gridded data [ISO geospatial metadata (GMD)], to the entities in open provenance model (OPM). The term “map” refers to establishing a correspondence between the said entities in ISO GMD and OPM. Presently, many geospatial data available in spatial data infrastructures (SDI) are described using ISO GMD. Its structure, however, makes tracing the provenance of these data a challenging task. OPM prioritizes causal relationships between things for capturing the workflow applied to particular data, making it easier to trace the data provenance. The mapping in this paper provides a convenient means to trace the provenance of data through the OPM causal relations and evaluate the fitness for use of these data, a necessary step toward data integration. This paper uses the notion of process to identify various data processing activities encoded in ISO GMD, the resource and the agent types involved in these activities, and state changes. A software prototype to carry out the mapping is developed. The mapping result is encoded in the resource description framework format to permit integral use of geospatial data in SDI and the data from the open data world. An exemplar metadata in ISO GMD from the National Oceanographic Data Center of the National Oceanic and Atmospheric Administration is used to demonstrate the feasibility to convert from the ISO GMD data lineage entities to the OPM entities. Numéro de notice : A2013-616 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2252181 En ligne : https://doi.org/10.1109/TGRS.2013.2252181 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32752 [article]

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