Knowledge Tree
Relations (1)
related 3.32 — strongly supporting 9 facts
Entity resolution is a critical subtask and functional component within the broader process of knowledge graph construction, as evidenced by its inclusion in construction benchmarks [1], [2] and its role in determining entity representation [3]. Furthermore, various knowledge graph construction frameworks explicitly address or integrate entity resolution as part of their workflow [4], [5], [6], [7].
Facts (9)
Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 9 facts
claimThe HKGB knowledge graph construction solution provides a description of its entity resolution (ER) process that is too vague to allow for a definitive assessment of its capabilities.
claimThe entity linking component of knowledge extraction can render an additional entity resolution step unnecessary in knowledge graph construction.
claimWhile NLP tasks have benefited from reusable implementations like Stanford CoreNLP, other knowledge graph construction tasks, such as entity resolution, currently lack similar modular, reusable implementations.
claimBenchmark datasets exist for specific subtasks of knowledge graph construction, such as entity resolution (e.g., Gollum) and knowledge completion (e.g., CoDEx).
claimKnowledge graph construction requires incremental approaches that can build upon previous match decisions to determine if new entities are already represented in the knowledge graph or should be added as new entities.
claimThe authors of the paper 'Construction of Knowledge Graphs: State and Challenges' focus their requirements analysis on the knowledge graph construction process and structured input data, such as entity resolution, rather than focusing solely on the knowledge graph itself.
claimEntity resolution is supported by only a few knowledge graph construction approaches.
claimThe SLOGERT knowledge graph construction solution suggests that entity resolution might be necessary in some cases, but recommends that this process be performed using an external tool.
claimExisting benchmarks for knowledge graph construction are currently limited to individual tasks such as knowledge extraction, ontology matching, entity resolution, and knowledge graph completion.