Matching Tabular Data to Knowledge Graphs. Contribute to fusion-jena/JenTab development by creating an account on GitHub.
In this paper, we report on our system “JenTab” developed in the context of the Semantic Web Challenge on Tabular Data to Knowledge. Graph Matching (SemTab2020) ...
Aug 26, 2024 · It bridges the gap between unstructured data and structured knowledge representation, enabling sophisticated data analytics, information retrieval, and ...
JenTab is a modular system to map table contents onto large knowledge graphs like Wikidata and its performance is evaluated against other systems.
We developed and tested JenTab under the umbrella of the Semantic Web Challenge on Tabular Data to. Knowledge Graph Matching (SemTab) challenge 2020-2022.
Nov 13, 2022 · Specifically, the syntactic similarity is calculated between cell mentions and entity labels to select the most relevant entities as candidates.
Tabular data to knowledge graph matching (TDKGM) aims to assign semantic tags from knowledge graphs (KGs) to the elements of the tables, including three ...
Nov 12, 2020 · Presented at the Ontology Matching Workshop at the 19th International Semantic Web Conference (ISWC2020)(https://iswc2020.semanticweb.org/) ...
The SemTab challenge aims at benchmarking systems dealing with the tabular data to KG matching problem, so as to facilitate their comparison on the same basis.
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Vol-2775/paper3⫷Vol-2775/paper4⫸Vol-2775/paper5. Nora Abdelmageed Sirko Schindler. JenTab: Matching Tabular Data to Knowledge Graphs.