A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science
Work towards creation of a knowledge sharing system for sustainability science through the application of semantic data modeling is described. An ontology grounded in description logics was developed based on the ISO 15926 data model to describe three types of sustainability science conceptualizatio...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Ubiquity Press
2011-01-01
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Series: | Data Science Journal |
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Online Access: | http://datascience.codata.org/articles/141 |
_version_ | 1818230938768769024 |
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author | Steven Kraines Weisen Guo |
author_facet | Steven Kraines Weisen Guo |
author_sort | Steven Kraines |
collection | DOAJ |
description | Work towards creation of a knowledge sharing system for sustainability science through the application of semantic data modeling is described. An ontology grounded in description logics was developed based on the ISO 15926 data model to describe three types of sustainability science conceptualizations: situational knowledge, analytic methods, and scenario frameworks. Semantic statements were then created using this ontology to describe expert knowledge expressed in research proposals and papers related to sustainability science and in scenarios for achieving sustainable societies. Semantic matching based on logic and rule-based inference was used to quantify the conceptual overlap of semantic statements, which shows the semantic similarity of topics studied by different researchers in sustainability science, similarities that might be unknown to the researchers themselves. |
first_indexed | 2024-12-12T10:42:27Z |
format | Article |
id | doaj.art-7401a9c5ef924e628fc580099ed70412 |
institution | Directory Open Access Journal |
issn | 1683-1470 |
language | English |
last_indexed | 2024-12-12T10:42:27Z |
publishDate | 2011-01-01 |
publisher | Ubiquity Press |
record_format | Article |
series | Data Science Journal |
spelling | doaj.art-7401a9c5ef924e628fc580099ed704122022-12-22T00:27:00ZengUbiquity PressData Science Journal1683-14702011-01-01910712310.2481/dsj.Kraines141A System for Ontology-Based Sharing of Expert Knowledge in Sustainability ScienceSteven Kraines0Weisen Guo1Science Integration Programme – Human, Division of Project Coordination, Univ. of Tokyo, 5-1-5 Kashiwano-ha, Kashiwa-shi, Chiba Prefecture, 277-8568, JapanScience Integration Programme – Human, Division of Project Coordination, Univ. of Tokyo, 5-1-5 Kashiwa-noha, Kashiwa-shi, Chiba Prefecture, 277-8568, Japan Inst. of Systems Eng. of Dalian University of Technology, Dalian 116024, ChinaWork towards creation of a knowledge sharing system for sustainability science through the application of semantic data modeling is described. An ontology grounded in description logics was developed based on the ISO 15926 data model to describe three types of sustainability science conceptualizations: situational knowledge, analytic methods, and scenario frameworks. Semantic statements were then created using this ontology to describe expert knowledge expressed in research proposals and papers related to sustainability science and in scenarios for achieving sustainable societies. Semantic matching based on logic and rule-based inference was used to quantify the conceptual overlap of semantic statements, which shows the semantic similarity of topics studied by different researchers in sustainability science, similarities that might be unknown to the researchers themselves.http://datascience.codata.org/articles/141Expert knowledgeKnowledge sharingSemantic webSemantic searchKnowledge descriptionSustainability scienceOntology |
spellingShingle | Steven Kraines Weisen Guo A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science Data Science Journal Expert knowledge Knowledge sharing Semantic web Semantic search Knowledge description Sustainability science Ontology |
title | A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science |
title_full | A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science |
title_fullStr | A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science |
title_full_unstemmed | A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science |
title_short | A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science |
title_sort | system for ontology based sharing of expert knowledge in sustainability science |
topic | Expert knowledge Knowledge sharing Semantic web Semantic search Knowledge description Sustainability science Ontology |
url | http://datascience.codata.org/articles/141 |
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