A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science
Energy conservation is one of the important topics for sustainability science, while case-based reasoning is one of the most important techniques for sustainable processing. This study aimed to develop a cloud case-based reasoning agent that integrates multiple intelligent technologies and supports,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/4/1387 |
| _version_ | 1828425292394266624 |
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| author | Shih-Chin Chen Sheng-Yuan Yang |
| author_facet | Shih-Chin Chen Sheng-Yuan Yang |
| author_sort | Shih-Chin Chen |
| collection | DOAJ |
| description | Energy conservation is one of the important topics for sustainability science, while case-based reasoning is one of the most important techniques for sustainable processing. This study aimed to develop a cloud case-based reasoning agent that integrates multiple intelligent technologies and supports, which can help users to quickly, accurately, and effectively obtain useful cloud energy-saving information in a timely manner for sustainability science. The system was successfully built with the support of Web services technology, ontology, and big data analytics. To set up this energy-saving case-based reasoning agent, this study reviewed the relevant technologies for building a web services platform and explored how to widely integrate and support the cloud interaction of the energy-saving data processing agent via the technologies. In addition to presenting relevant R&D technologies and results in detail, this study carefully conducted performance and learning experiments to prove the system’s effectiveness. The results showed that the core technology of the case-based reasoning agent achieved good performance and that the learning effectiveness of the overall system was also great. |
| first_indexed | 2024-12-10T16:29:59Z |
| format | Article |
| id | doaj.art-1704641ac7a241c0895509159b67bd6f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-10T16:29:59Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1704641ac7a241c0895509159b67bd6f2022-12-22T01:41:33ZengMDPI AGApplied Sciences2076-34172020-02-01104138710.3390/app10041387app10041387A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability ScienceShih-Chin Chen0Sheng-Yuan Yang1Department of Fashion Administration and Management, St. John’s University, New Taipei City 25135, TaiwanDepartment of Information and Communication Engineering, St. John’s University, New Taipei City 25135, TaiwanEnergy conservation is one of the important topics for sustainability science, while case-based reasoning is one of the most important techniques for sustainable processing. This study aimed to develop a cloud case-based reasoning agent that integrates multiple intelligent technologies and supports, which can help users to quickly, accurately, and effectively obtain useful cloud energy-saving information in a timely manner for sustainability science. The system was successfully built with the support of Web services technology, ontology, and big data analytics. To set up this energy-saving case-based reasoning agent, this study reviewed the relevant technologies for building a web services platform and explored how to widely integrate and support the cloud interaction of the energy-saving data processing agent via the technologies. In addition to presenting relevant R&D technologies and results in detail, this study carefully conducted performance and learning experiments to prove the system’s effectiveness. The results showed that the core technology of the case-based reasoning agent achieved good performance and that the learning effectiveness of the overall system was also great.https://www.mdpi.com/2076-3417/10/4/1387case-based reasoning agentsweb servicesontologybig data analysisenergy conservationsustainability science |
| spellingShingle | Shih-Chin Chen Sheng-Yuan Yang A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science Applied Sciences case-based reasoning agents web services ontology big data analysis energy conservation sustainability science |
| title | A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science |
| title_full | A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science |
| title_fullStr | A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science |
| title_full_unstemmed | A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science |
| title_short | A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science |
| title_sort | web services ontology and big data analysis technology based cloud case based reasoning agent for energy conservation of sustainability science |
| topic | case-based reasoning agents web services ontology big data analysis energy conservation sustainability science |
| url | https://www.mdpi.com/2076-3417/10/4/1387 |
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