Leveraging Wikipedia Navigational Templates for Curating Domain-Specific Fuzzy Conceptual Bases

Krati Saxena, Tushita Singh, Ashwini Patil, Sagar Sunkle, Vinay Kulkarni


Abstract
Domain-specific conceptual bases use key concepts to capture domain scope and relevant information. Conceptual bases serve as a foundation for various downstream tasks, including ontology construction, information mapping, and analysis. However, building conceptual bases necessitates domain awareness and takes time. Wikipedia navigational templates offer multiple articles on the same/similar domain. It is possible to use the templates to recognize fundamental concepts that shape the domain. Earlier work in this domain used Wikipedia’s structured and unstructured data to construct open-domain ontologies, domain terminologies, and knowledge bases. We present a novel method for leveraging navigational templates to create domain-specific fuzzy conceptual bases in this work. Our system generates knowledge graphs from the articles mentioned in the template, which we then process using Wikidata and machine learning algorithms. We filter important concepts using fuzzy logic on network metrics to create a crude conceptual base. Finally, the expert helps by refining the conceptual base. We demonstrate our system using an example of RNA virus antiviral drugs.
Anthology ID:
2021.dash-1.1
Volume:
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances
Month:
June
Year:
2021
Address:
Online
Editors:
Eduard Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic
Venue:
DaSH
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–7
Language:
URL:
https://aclanthology.org/2021.dash-1.1
DOI:
10.18653/v1/2021.dash-1.1
Bibkey:
Cite (ACL):
Krati Saxena, Tushita Singh, Ashwini Patil, Sagar Sunkle, and Vinay Kulkarni. 2021. Leveraging Wikipedia Navigational Templates for Curating Domain-Specific Fuzzy Conceptual Bases. In Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances, pages 1–7, Online. Association for Computational Linguistics.
Cite (Informal):
Leveraging Wikipedia Navigational Templates for Curating Domain-Specific Fuzzy Conceptual Bases (Saxena et al., DaSH 2021)
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PDF:
https://aclanthology.org/2021.dash-1.1.pdf