Abstract
This paper presents GECKO, a knowledge graph-based statistical question answering system currently in beta deployment.GECKO aims to facilitate the retrieval of single statistical values from an extensive database containing over a billion values across more than 4,000 tables.The system integrates a comprehensive framework including data augmentation, entity retrieval, and large language model (LLM)-based query generation.A key feature of the beta deployment is the collection of user feedback, which is critical for improving system performance and accuracy.This feedback mechanism allows users to report issues directly, ensuring continuous improvement based on real-world use.
Original language | English |
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Title of host publication | SEMANTiCS-PDWT 2024 Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems (SEMANTiCS 2024) |
Subtitle of host publication | Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024) Amsterdam, The Netherlands, September 17-19, 2024 |
Editors | Daniel Garijo, Anna Lisa Gentile, Anelia Kurteva, Andrea Mannocci, Francesco Osborne, Sahar Vahdati |
Publisher | CEUR-WS.org |
Number of pages | 5 |
Publication status | Published - 2024 |
Event | Joint of Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems, SEMANTiCS-PDWT 2024 - Amsterdam, Netherlands Duration: 17 Sept 2024 → 19 Sept 2024 |
Publication series
Name | CEUR Workshop Proceedings |
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Volume | 3759 |
ISSN (Electronic) | 1613-0073 |
Conference
Conference | Joint of Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems, SEMANTiCS-PDWT 2024 |
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Country/Territory | Netherlands |
City | Amsterdam |
Period | 17/09/24 → 19/09/24 |
Bibliographical note
Publisher Copyright:© 2024 Copyright for this paper by its authors.