Does Wikidata Support Analogical Reasoning?
October 02, 2022 Β· Declared Dead Β· π Iberoamerican Conference on Knowledge Graphs and Semantic Web
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Authors
Filip Ilievski, Jay Pujara, Kartik Shenoy
arXiv ID
2210.00620
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL
Citations
2
Venue
Iberoamerican Conference on Knowledge Graphs and Semantic Web
Last Checked
4 months ago
Abstract
Analogical reasoning methods have been built over various resources, including commonsense knowledge bases, lexical resources, language models, or their combination. While the wide coverage of knowledge about entities and events make Wikidata a promising resource for analogical reasoning across situations and domains, Wikidata has not been employed for this task yet. In this paper, we investigate whether the knowledge in Wikidata supports analogical reasoning. Specifically, we study whether relational knowledge is modeled consistently in Wikidata, observing that relevant relational information is typically missing or modeled in an inconsistent way. Our further experiments show that Wikidata can be used to create data for analogy classification, but this requires much manual effort. To facilitate future work that can support analogies, we discuss key desiderata, and devise a set of metrics to guide an automatic method for extracting analogies from Wikidata.
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