Abstract
The Knowledge Graph matching task is to identify nodes in the two graphs that refer to the same concept. In this paper, we focus on the analysis of textual descriptions of the concepts. We employ neural language models as they can score well on text content similarity On the other hand, we show that the text similarity of entity descriptions does not equal to referring to the exact same entity. Our text-based multi-step system was among the top participants at the Knowledge Graph matching track of the Ontology Alignment Evaluation Initiative.
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Acknowledgements
This research has been supported by the European Union project RRF-2.3.1-21-2022-00004 within the framework of the Artificial Intelligence National Laboratory.
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Kardos, P., Farkas, R. (2023). Are These Descriptions Referring to the Same Entity or Just to Similar Ones?. In: Maglogiannis, I., Iliadis, L., MacIntyre, J., Dominguez, M. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 676. Springer, Cham. https://doi.org/10.1007/978-3-031-34107-6_31
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