Querying Knowledge Graphs in Greek Language
Pages 27 - 33
Abstract
We present a method for querying knowledge graphs through natural language, emphasizing its application to the Greek language. It integrates NLP techniques with the capabilities of graph databases to enable seamless interaction with knowledge graphs through natural language queries. Upon receiving a user's question in Greek language, we use linguistic analysis tools to convert it into a graph structure by employing predefined rules and adhering to a graph database schema. This methodology enables the handling of different question types and the efficient extraction of relations, ensuring accurate mapping of linguistic structures to database queries. The representation of a question as a knowledge graph enables its direct translation to a Cypher query, facilitating the extraction of related answers. The approach can handle complex questions and is language independent.
References
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Georgoudi, A., Stylianou, N., Konstantinidis, I., Meditskos, G., Mavropoulos, T., Vrochidis, S., & Bassiliades, N. (2023). Towards Knowledge Graph Creation from Greek Governmental Documents. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 294-299.
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Hains, G., Khmelevsky, Y., & Tachon, T. (2019). From natural language to graph queries. 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), 1-4.
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Huang, X., Zhang, J., Li, D., & Li, P. (2019). Knowledge Graph Embedding Based Question Answering. Proceedings of the twelfth ACM international conference on web search and data mining, 105-113.
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Liang, S., Stockinger, K., de Farias, T., Anisimova, M., & Gil, M. (2021). Querying knowledge graphs in natural. Journal of big data, 8, 1-23.
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Marakakis, E., Kondylakis, H., & Papakonstantinou, A. (2017). APANTISIS: A greek question-answering system for knowledge-base exploration. Strategic Innovative Marketing: 5th IC-SIM, Athens, Greece 2016, 501-510.
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Mountantonakis, M., Bastakis, M., Mertzanis, L., & Tzitzikas, Y. (2022). Tiresias: Bilingual Question Answering over DBpedia. Workshop at ISWC.
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Papadopoulos, D., Papadakis, N., & Matsatsinis, N. (2021). PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 23-29.
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Papantoniou, K., & Tzitzikas, Y. (2020). NLP for the Greek language: a brief survey. 11th Hellenic Conference on Artificial Intelligence, 101-109.
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Published In
June 2024
708 pages
ISBN:9798400717604
DOI:10.1145/3652037
Copyright © 2024 ACM.
Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 June 2024
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PETRA '24
PETRA '24: The PErvasive Technologies Related to Assistive Environments Conference
June 26 - 28, 2024
Crete, Greece
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