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

dc.contributor.authorTakhom , Akkharawoot
dc.contributor.authorIkeda, Mitsuru
dc.contributor.authorSuntisrivaraporn, Boontawee
dc.contributor.authorSupnithi, Thepchai
dc.contributor.editorJohannsen, Vivian Kvist
dc.contributor.editorJensen, Stefan
dc.contributor.editorWohlgemuth, Volker
dc.contributor.editorPreist, Chris
dc.contributor.editorEriksson, Elina
dc.date.accessioned2019-09-16T03:11:28Z
dc.date.available2019-09-16T03:11:28Z
dc.date.issued2015
dc.description.abstractThis 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.de
dc.identifier.doi10.2991/ict4s-env-15.2015.18
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25699
dc.publisherAtlantis Press
dc.relation.ispartofEnviroInfo & ICT4S, Conference Proceedings
dc.relation.ispartofseriesEnviroInfo
dc.titleToward Collaborative LCA Ontology Development: a Scenario-Based Recommender System for Environmental Data Qualificationde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAmsterdam - Beijing - Paris
gi.conference.date2015
gi.conference.locationCopenhagen
gi.conference.sessiontitleConverStation II

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