Semantic catalogs for life cycle assessment data

作者: Brandon Kuczenski , Christopher B. Davis , Beatriz Rivela , Krzysztof Janowicz

DOI: 10.1016/J.JCLEPRO.2016.07.216

关键词:

摘要: Abstract Life cycle assessment (LCA) is a highly interdisciplinary field that requires knowledge from different domains to be gathered and interpreted together. Although there are relatively few major data sources for LCA, the themselves presented with heterogeneous formats, interfaces, distribution mechanisms. The lack of agreement among providers descriptions processes flows creates substantial barriers information sharing reuse practitioners’ models. Nevertheless, many resources share common logic. use Semantic Web technologies text mining techniques can facilitate interpretation diverse sources. Numerous existing efforts have been made articulate model LCA. In March 2015 joint workshop was held brought together leading international domain experts ontology engineers develop set simple models called design patterns (ODPs) LCA information. this paper we build on outcomes workshop, as well prior published works, derive minimal “consensus model” We consensus description an “catalog” used express semantic content resource. generate catalogs several prominent databases, make those available public independent use. Finally, “link” using JSON-LD, linked format expose catalog contents tools. then show by example how may answer questions about scope, coverage, comparability data, both within across sources, difficult when provided independently inconsistently. discuss help address challenges initiatives such “Global Network Interoperable Databases – Global Data Access” facing today.

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