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Found 7 papers, 2 papers with code
Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings
Our results show that: (1) our novel lookup-based method outperforms state-of-the-art lookup-based methods, (2) the semantic embeddings method outperforms lookup-based methods in one benchmark data set, and (3) the lack of a rich schema in Web tables can limit the ability of ontology matching tools in performing high-quality table annotation.
Medical Entity Disambiguation Using Graph Neural Networks
Entity disambiguation (also referred to as entity linking) is considered as an essential task in unlocking the wealth of such medical KBs.
BI-REC: Guided Data Analysis for Conversational Business Intelligence
In this paper, we propose BI-REC, a conversational recommendation system for BI applications to help users accomplish their data analysis tasks.
Results of SemTab 2021
SemTab 2021 was the third edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 20th International Semantic Web Conference (ISWC) and the 16th Ontology Matching (OM) Workshop.
FairER: Entity Resolution with Fairness Constraints
One of the most critical tasks for improving data quality and increasing the reliability of data analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to the same real-world entity.
Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review
Recently, embedding methods have been used for entity alignment tasks, that learn a vector-space representation of entities which preserves their similarity in the original KGs.
Results of SemTab 2022
SemTab 2022 was the fourth edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 21st International Semantic Web Conference (ISWC) and the 17th Ontology Matching (OM) Workshop.
Ranked #2 on
Cell Entity Annotation
on ToughTables-WD
