Chris Davis

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Chris Davis is an author.


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Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Harnessing Semantic Web Technologies for the Environmental Sustainability of Production Systems Databases
Information management
Life Cycle Analysis
Production chains
Semantic web
Semantic wiki
Harnessing Green It: Principles and Practices English 2012 The modern world is dependent on complex evolving networks of production chains that convert raw resources into the products and services required for the functioning of society. Dealing with issues of the environmental sustainability of these systems can be difficult due to their large scale and dynamic nature. Understanding these systems requires large amounts of diverse data and proper information management techniques to help make sense of them. We propose a way forward based on Semantic Web standards, and illustrate the use of Semantic Wiki software to help facilitate a collaborative community process of gathering and managing this data, and enablingtransparent peer review of it. This type of system could greatly enablethe use of tools such as Life Cycle Analysis, which have very large data demands and have struggled to build larger databases, yet still maintain quality of the data. 0 0
Industrial ecology 2.0 Journal of Industrial Ecology 2010 Summary: Industrial ecology {(IE)} is an ambitious field of study where we seek to understand systems using a wide perspective ranging from the scale of molecules to that of the planet. Achieving such a holistic view is challenging and requires collecting, processing, curating, and sharing immense amounts of data and knowledge. We are not capable of fully achieving this due to the current state of tools used in {IE} and current community practices. Although we deal with a vastly interconnected world, we are not so good at efficiently interconnecting what we learn about it. This is not a problem unique to {IE,} and other fields have begun to use tools supported by the World Wide Web to meet these challenges. We discuss these sets of tools and illustrate how community driven data collection, processing, curation, and sharing is allowing people to achieve more than ever before. In particular, we discuss standards that have been created to allow for interlinking of data dispersed across multiple Web sites. This is currently visible in the Linking Open Data initiative, which among others contains interlinked datasets from the {U.S.} and {U.K.} governments, biology databases, and Wikipedia. Since the types of technologies and standards involved are outside the normal scope of work by many industrial ecologists, we attempt to explain the relevance, implications, and benefits through a discussion of many real examples currently on the Web. From these, we discuss several best practices, which can be enabling factors for how {IE} and the community can more efficiently and effectively meet its ambitions-an agenda for Industrial Ecology 2.0. 2010 by Yale University. 0 0