| Project/Area Number |
22K18004
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 62020:Web informatics and service informatics-related
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
RACHARAK Teeradaj 北陸先端科学技術大学院大学, 先端科学技術研究科, 講師 (30847512)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2024: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2023: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | Virtual Knowledge Graph / Similarity Algorithms / Information Retrieval / Explainable Similarity / Description Logic / Knowledge Graph / Analogical Reasoning |
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| Outline of Research at the Start |
Virtual knowledge graph (VKG) is an emerging research area that has received huge attention in recent years for integration and access of various databases. However, existing VKGs do not support the users to query similar information due to lack of similarity algorithms. Thus, we aim to develop novel algorithms based on Description Logics that can advance the querying of VKGs with explainable similarity, called "VKG-SIM". We envision that our proposed VKG-SIM will lay a solid ground for developing AI-based integration technologies that enable the utilization of diverse and massive data.
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| Outline of Annual Research Achievements |
We have successfully implemented our prototype system called Virtual Knowledge Graph with Similar data (VKG-SIM). VKG-SIM is extended from the famous open source Ontop system and is implemented based on our algorithms for advancing the querying of VKG with an explainable similarity score. Thus, we could expect a high impact on the academic society and the industry. In addition, we have studied problems related to other KG systems.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
We have implemented our VKG-SIM system and conducted a preliminary analysis on its performance. Regarding our publication, we have published 1 journal paper (IEEE Access; Q1) and 5 international conference papers (ICAART, DSAI, KSE, ACIIDS, and ISWC).
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| Strategy for Future Research Activity |
As for our next step, we completely develop our VKG-SIM system and evaluate based on real-world user scenarios in information retrieval. The goal of this year is to ensure practical correctness of the system and see how the proposed system can be applied beyond KG-based information retrieval.
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