Campus Ontology-Based Correlation Detection Among Heterogeneous Data Sets
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- Tsukagoshi Yuto
- Graduate School of Informatics and Engineering, The University of Electro-Communications Artificial Intelligence Research Center, The National Institute of Advanced Industrial Science and Technology
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- Egami Shusaku
- Graduate School of Informatics and Engineering, The University of Electro-Communications Artificial Intelligence Research Center, The National Institute of Advanced Industrial Science and Technology
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- Sei Yuichi
- Graduate School of Informatics and Engineering, The University of Electro-Communications
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- Tahara Yasuyuki
- Graduate School of Informatics and Engineering, The University of Electro-Communications
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- Ohsuga Akihiko
- Graduate School of Informatics and Engineering, The University of Electro-Communications
Bibliographic Information
- Other Title
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- キャンパスオントロジーに基づく異種データ間の相関検出
- キャンパスオントロジー ニ モトズク イシュ データ カン ノ ソウカン ケンシュツ
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Abstract
<p>For data-driven decision making, it is essential to build a data infrastructure that stores various data. Since various data are accumulated within organizations such as universities, companies, and local governments, integration of data in different contexts and cross-sectional analysis are issues. Knowledge graphs with a graphical structure that can flexibly change the schema are suitable for integrating heterogeneous data. In this study, we focused on a university campus as an example and proposed an ontology for various data such as lectures, buildings, purchasing, bicycle parking, and energy consumption. In particular, it has become easier to extract data across heterogeneous data collected within an organization by semantically linking dimensions with various expressions. Then, the collected unstructured data was accumulated as a knowledge graph based on the ontology, and the data infrastructure was constructed. In addition, we found several correlations through scenario-based experiment using this knowledge graph and showed the possibility that it could be applied to considering approach for university managemsent and improving the campus environment.</p>
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 141 (11), 1222-1233, 2021-11-01
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390571395581667456
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- NII Article ID
- 130008110208
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 031821388
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed