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2023 Fiscal Year Research-status Report

Similarity Retrieval Algorithm for Virtual Knowledge Graph

Research Project

Project/Area Number 22K18004
Research InstitutionJapan Advanced Institute of Science and Technology

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)

Project Period (FY) 2022-04-01 – 2025-03-31
KeywordsVirtual Knowledge Graph / Similarity Algorithms / Information Retrieval / Explainable Similarity / Description Logic / Knowledge Graph
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.

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).

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.

Causes of Carryover

The conferences had arranged online participation; thus, the costs were reduced. In addition, we plan to submit an open access journal based on our system implementation; thus, we would like to secure it for our publication. To ensure the system correctness, the remaining budget will be also secured to hire a research assistant and extend my research collaboration with domestic and international partners with necessary business trips next fiscal year.

  • Research Products

    (6 results)

All 2024 2023

All Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (5 results) (of which Int'l Joint Research: 5 results)

  • [Journal Article] WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs2023

    • Author(s)
      Kun Kong Wei、Liu Xin、Racharak Teeradaj、Sun Guanqun、Chen Jianan、Ma Qiang、Nguyen Le-Minh
    • Journal Title

      IEEE Access

      Volume: 11 Pages: 48901~48911

    • DOI

      10.1109/ACCESS.2023.3276319

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] A Quantitative Assessment Framework for Modelling and Evaluation using Representation Learning in Smart Agriculture Ontology2024

    • Author(s)
      Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari
    • Organizer
      n Proceedings of 16th International Conference on Agents and Artificial Intelligence (ICAART), Rome, Italy
    • Int'l Joint Research
  • [Presentation] BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition2023

    • Author(s)
      Shin Thant, Teeradaj Racharak, Frederic Andres
    • Organizer
      In Proceedings of the 1st International Conference of Data Science and Artificial Intelligence (DSAI), Bangkok, Thailand
    • Int'l Joint Research
  • [Presentation] Gender Bias Analysis in Commonsense Knowledge Graph Embeddings2023

    • Author(s)
      Khine Myat Thwe, Teeradaj Racharak, Minh Le Nguyen, Gender Bias Analysis in Commonsense Knowledge Graph Embeddings
    • Organizer
      In Proceedings of the 15th IEEE International Conference on Knowledge and Systems Engineering (KSE), Ha Noi, Vietnam
    • Int'l Joint Research
  • [Presentation] Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge2023

    • Author(s)
      Teeradaj Racharak, Watanee Jearanaiwongkul, Khine Myat Thwe
    • Organizer
      In LNAI Proceedings of 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Phuket, Thailand
    • Int'l Joint Research
  • [Presentation] TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding2023

    • Author(s)
      Wei Kun Kong, Xin Liu, Teeradaj Racharak, Minh Le Nguyen
    • Organizer
      In Proceedings of the 21st International Semantic Web Conference (ISWC)
    • Int'l Joint Research

URL: 

Published: 2024-12-25  

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