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Region-Based Merging of Open-Domain Terminological Knowledge

arXiv 2205.02660 ↗First posted 5 May 2022cs.LO cs.AIcited by 0

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Abstract (arXiv)

This paper introduces a novel method for merging open-domain terminological knowledge. It takes advantage of the Region Connection Calculus (RCC5), a formalism used to represent regions in a topological space and to reason about their set-theoretic relationships. To this end, we first propose a faithful translation of terminological knowledge provided by several and potentially conflicting sources into region spaces. The merging is then performed on these spaces, and the result is translated back into the underlying language of the input sources. Our approach allows us to benefit from the expressivity and the flexibility of RCC5 while dealing with conflicting knowledge in a principled way.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 45 references that are in the map. First posted on arXiv 5 May 2022.

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References · 6

  1. 2017End-to-End Differentiable Provingcited by 161
  2. 2018Ontology Reasoning with Deep Neural Networkscited by 40
  3. 2018Learning Conceptual Space Representations of Interrelated Conceptscited by 3
  4. 2020GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data -- Technical Reportcited by 3
  5. 2019RLTM: An Efficient Neural IR Framework for Long Documentscited by 2
  6. 2019Modelling Semantic Categories using Conceptual Neighborhoodcited by 2

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