ArticleThe Science of the total environment2020
Enhancing life cycle chemical exposure assessment through ontology modeling.
Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Application of read-across methods as a framework for the estimation of emissions from chemical processes.Clean technologies and recycling · 2023Article
- Tracking end-of-life stage of chemicals: A scalable data-centric and chemical-centric approach.Resources, conservation, and recycling · 2023Article
- Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency.Environment international · 2023Review
- Predicting Chemical End-of-Life Scenarios Using Structure-Based Classification Models.ACS sustainable chemistry & engineering · 2023Article
- Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022Review
- The Human Disease Ontology 2022 update.Nucleic acids research · 2022Article
- Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language.International journal of environmental research and public health · 2021Article
- Data engineering for tracking chemicals and releases at industrial end-of-life activities.Journal of hazardous materials · 2021Article
- Assessing Human Exposure to SVOCs in Materials, Products, and Articles: A Modular Mechanistic Framework.Environmental science & technology · 2021Review
- Advancing systematic-review methodology in exposure science for environmental health decision making.Journal of exposure science & environmental epidemiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
In its 2014 report, A Framework Guide for the Selection of Chemical Alternatives, the National Academy of Sciences placed increased emphasis on comparative exposure assessment throughout the life cycle (i.e., from manufacturing to end-of-life) of a chemical. The inclusion of the full life cycle greatly increases the data demands for exposure assessments, including both the quantity and type of data. High throughput tools for exposure estimation add to this challenge by requiring rapid accessibility to data. In this work, ontology modeling was used to bridge the domains of exposure modeling and life cycle inventory modeling to facilitate data sharing and integration. The exposure ontology, ExO, is extended to describe human exposure to consumer products, while an inventory modeling ontology, LciO, is formulated to support automated data mining. The core ontology pieces are connected using a bridging ontology and discussed through a theoretical example to demonstrate how data from LCA can be leveraged to support rapid exposure modeling within a life cycle context.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.