研究課題/領域番号 |
22K18004
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研究種目 |
若手研究
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配分区分 | 基金 |
審査区分 |
小区分62020:ウェブ情報学およびサービス情報学関連
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研究機関 | 北陸先端科学技術大学院大学 |
研究代表者 |
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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研究期間 (年度) |
2022-04-01 – 2025-03-31
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研究課題ステータス |
交付 (2022年度)
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配分額 *注記 |
3,900千円 (直接経費: 3,000千円、間接経費: 900千円)
2024年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2023年度: 1,690千円 (直接経費: 1,300千円、間接経費: 390千円)
2022年度: 1,040千円 (直接経費: 800千円、間接経費: 240千円)
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キーワード | Virtual Knowledge Graph / Similarity Algorithms / Information Retrieval / Explainable Similarity / Description Logic / Analogical Reasoning / Knowledge Graph |
研究開始時の研究の概要 |
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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研究実績の概要 |
We have investigated algorithms based on Description Logics to advance the querying of VKG with an explainable similarity score and obtained outlines of the algorithms. We also studied algorithms that go beyond Description Logics. For example, how to inference with analogical reasoning between terminologies, how to complete knowledge graph with weighted knowledge graph embedding. These results can be used to support the implementation in our next step.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
We have obtained similarity algorithms for Description Logics. We are also conducting a preliminary study of using the algorithms for querying in our VKG system. Regarding our publication, we have published a conference paper at ICTAI, which is a leading IEEE-CS annual scientific meeting for three decades. In addition, we have submitted a journal paper to IEEE Access (Q1; under review) and another journal paper to SWJ (Q1; under review).
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今後の研究の推進方策 |
As for our next step, we will mathematically prove our algorithm in order to conclude our mathematical framework for the VKG. At the same time, we are under the implementation of the investigating framework. The goal of this year is to ensure both theoretical and practical correctness of the system.
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