A minimal ontology pattern for life cycle assessment data

Krzysztof Janowicz, Adila A. Krisnadhi, Yingjie Hu, Sangwon Suh, Bo Pedersen Weidema, Beatriz Rivela, Johan Tivander, David E. Meyer, Gary Berg-Cross, Pascal Hitzler, Wesley Ingwersen, Brandon Kuczenski, Charles Vardeman, Yiting Ju, Michelle Cheatham

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

6 Citations (Scopus)


Life Cycle Assessment (LCA) studies the environmental impact of products taking into account their entire life-span and production chain. This requires gathering data from a variety of heterogeneous sources into a Life Cycle Inventory (LCI). LCI preparation involves the integration of observations and engineering models with reference data and literature results from around the world, from different domains, and at varying levels of granularity. Existing LCA data formats only address syntactic interoperability, thereby ignoring semantics. This leads to a variety of challenges, e.g., difficulties in reproducing assessments published in the literature. In this work, we present an ontology pattern that specifies key aspects of LCA/LCI data models, namely the notions of ows, activities, agents, and products, as well as their properties.

Original languageEnglish
Title of host publicationProceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015)
EditorsEva Blomqvist, Pascal Hitzler, Adila Krisnadhi, Tom Narock, Monika Solanki
Number of pages5
PublisherCEUR Workshop Proceedings
Publication date2015
Publication statusPublished - 2015
Event6th Workshop on Ontology and Semantic Web Patterns, WOP 2015 - Bethlehem, United States
Duration: 11 Oct 2015 → …


Conference6th Workshop on Ontology and Semantic Web Patterns, WOP 2015
Country/TerritoryUnited States
Period11/10/2015 → …
SeriesCEUR Workshop Proceedings


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