In this paper we focus on one critical aspect of trustworthiness, which concerns aligning with the given domain vocabularies (ontologies) those KG triples that ...
In this paper we focus on one critical aspect of trustworthiness, which concerns aligning with the given domain vocabularies (ontologies) those KG triples that ...
A scalable domain-independent text-to-KG approach that adapts to specific domains by using domain ontologies, without having to consult external triple ...
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Trustworthy Knowledge Graph Population From Texts for Domain Query Answering ... dinakaran, Structuring information using domain knowledge, M Sc Thesis; auer ...
Trustworthy knowledge graph population from texts for domain query answering. J Ao, S Dinakaran, H Yang, D Wright, R Chirkova. 2021 IEEE International ...
9:30-9:55am. Trustworthy Knowledge Graph Population From Texts for Domain Query Answering. Jing Ao, Swathi Dinakaran, Hongjian Yang, David Wright, and Rada ...
Abstract. Knowledge Graphs (KGs) have made a qualitative leap and effected a real revolution in knowledge representation.
May 12, 2024 · Knowledge Base Population: Populate the knowledge graph with facts from the extracted data, handling conflicts and maintaining provenance ...
This survey discusses the concept of knowledge graphs, including their construction, extraction, and applications. Various tools such as Zotero, ...
Apr 8, 2024 · Explore the power of knowledge graphs in machine learning with our step-by-step tutorial guide. Learn the fundamentals of knowledge graph.
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