Author
Patton, Evan; Seyed, Patrice; Wang, Ping; Fu, Linyun; Dein, Joshua; Bristol, Sky; McGuinness, Deborah
Other Contributors
Date Issued
2013-09-27
Subject
Semantic Water Quality Portal
Degree
Terms of Use
Abstract
We aim to inform the development of decision support tools for resource managers who need to examine large complex ecosystems and make recommendations in the face of many tradeoffs and conflicting drivers. We take a semantic technology approach, leveraging background ontologies and the growing body of linked open data. In previous work, we designed and implemented a semantically enabled environmental monitoring framework called SemantEco and used it to build a water quality portal named SemantAqua. Our previous system included foundational ontologies to support environmental regulation violations and relevant human health effects. In this work, we discuss SemantEco’s new architecture that supports modular extensions and makes it easier to support additional domains. Our enhanced framework includes foundational ontologies to support modeling of wildlife observation and wildlife health impacts, thereby enabling deeper and broader support for more holistically examining the effects of environmental pollution on ecosystems. We conclude with a discussion of how, through the application of semantic technologies, modular designs will make it easier for resource managers to bring in new sources of data to support more complex use cases.;
Description
pages 430 - 440
Department
Publisher
Future Generation Computing Systems
Relationships
https://tw.rpi.edu/project/SemantAQUA;
Access