Toward Collaborative LCA Ontology Development: a Scenario-Based Recommender System for Environmental Data Qualification

DOI

10.2991/ict4s-env-15.2015.18How to use a DOI?

Keywords

Semantic Web, Ontology, Collaboration, Life Cycle Assessment, Life Cycle Inventory, Data Quality Indicator

Abstract

This paper describes a collaborative approach to ontology development for data qualification for life cycle assessment by taking into consideration the Life Cycle Inventory (LCI) and Data Quality Indicator (DQI). The developed ontology is integrated with rule-based knowledge, to provide userdefined policies for LCI based on DQI. An ontology application management framework is developed to provide a collaborative environment for knowledge engineers and domain experts to define the knowledge explication and recommendation rules based on usage scenario. LCI data from agricultural domain is collected, and mapped to the knowledge base. To demonstrate the advantage of transformed rules, a scenario-based recommender system is built on top of the ontology, and carries out data quality measurement.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Akkharawoot Takhom
AU  - Mitsuru Ikeda
AU  - Boontawee Suntisrivaraporn
AU  - Thepchai Supnithi
PY  - 2015/09
DA  - 2015/09
TI  - Toward Collaborative LCA Ontology Development: a Scenario-Based Recommender System for Environmental Data Qualification
BT  - Proceedings of EnviroInfo and ICT for Sustainability 2015
PB  - Atlantis Press
SP  - 157
EP  - 164
SN  - 2352-538X
UR  - https://doi.org/10.2991/ict4s-env-15.2015.18
DO  - 10.2991/ict4s-env-15.2015.18
ID  - Takhom2015/09
ER  -