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Other ORP type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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Formal Concepts in Knowledge Graph Completion

appsOther research productkeyboard_double_arrow_right Other ORP type 30 Dec 2025 English Publisher:Zenodo
Authors: Brodhead, Katie;

doi: 10.5281/zenodo.18092892 , 10.5281/zenodo.18092893

Formal Concepts in Knowledge Graph Completion

Abstract

Includes the code and datasets used in: Brodhead, Katie. 2025. Formal Concepts in Knowledge Graph Completion. ProQuest Dissertations & Theses. PhD Dissertation. Florida State University, 236 pages. https://www.proquest.com/dissertations-theses/formal-concepts-knowledge-graph-completion/docview/3245794927/se-2 Also pertains to works derived from the above citation: Derived from Chapter 6 "Broad Concepts and Predictability":Brodhead, Katie. 2026. Broad Training and Predictability in Knowledge Graph Completion via Formal Concepts. International Symposium on Artificial Intelligence and Mathematics (ISAIM), Fort Lauderdale, Florida, USA, January 7-9, 2026, 8 pages. https://isaim2026.cs.ou.edu/papers/main/Broad_Training_and_Predictab.pdf Derived from Chapter 3 "Formal Concepts" and Chapter 4 "Breadth, Depth, and Connectivity": Brodhead, Katie. Formal Concept Lattices in Knowledge Graph Completion. Derived from Chapter 5 "Density": Brodhead, Katie. Density of Formal Concepts in Knowledge Graph Completion.

Related Organizations
Keywords

Knowledge Graph, Formal Concept Analysis, Data Mining, Knowledge Engineering, Knowledge Representation, Knowledge Ontology, Knowledge Acquisition, Knowledge Discovery

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average