CarbonDB: a Semantic Life Cycle Inventory Database (demo)
Autor: | Benjamin Bertin, Vasile-Marian Scuturici, Emmanuel Risler, Jean-Marie Pinon |
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Přispěvatelé: | Distribution, Recherche d'Information et Mobilité (DRIM), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Base de Données (BD) |
Jazyk: | angličtina |
Rok vydání: | 2012 |
Předmět: |
050210 logistics & transportation
Database business.industry Process (engineering) Computer science Data management media_common.quotation_subject 05 social sciences computer.software_genre Data science Interdependence Workflow 0502 economics and business 050501 criminology Decomposition (computer science) Web application Graph (abstract data type) [INFO]Computer Science [cs] Cluster analysis business Life-cycle assessment computer 0505 law media_common |
Zdroj: | Conference on Information and Knowledge Management (CIKM) 2012 Conference on Information and Knowledge Management (CIKM) 2012, Oct 2012, Maui, Hawaï, United States. pp.2683-2685, ⟨10.1145/2396761.2398725⟩ CIKM |
DOI: | 10.1145/2396761.2398725⟩ |
Popis: | International audience; We demonstrate CarbonDB, a web application for Life Cycle Inventory data management. Life Cycle Assessment provides a well-accepted methodology for modelling environmental impacts of human activities. This methodology relies on the decomposition of a studied system into interdependent processes in a phase called Life Cycle Inventory. Several organisations provide processes databases containing thousands of processes with their interdependency links. The usual workflow to manage those databases is based on the manipulation of individual processes, which turns out to be a very harnessing work even if there are strong semantic similarities between the involved processes. In previous publications, we proposed a new workflow for LCA inventory databases maintenance based on the addition of semantic information to the processes they contained. This method considerably eases the modeling process and offers a synthetic view of the dependencies links. We created a web application based on this approach composed of a back-end for data management and a front-end for searching processes and visualize the dependencies links in a graph. |
Databáze: | OpenAIRE |
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