Papers Cell Entity Annotation
“Cell Entity Annotation” 태그가 달린 논문 14편 · 필터 해제
An LLM Agent-Based Complex Semantic Table Annotation Approach
The Semantic Table Annotation (STA) task, which includes Column Type Annotation (CTA) and Cell Entity Annotation (CEA), maps table contents to ontology entities and plays important roles in various semantic applications.…
Cell Entity AnnotationColumn Type AnnotationExploring Naive Bayes Classifiers for Tabular Data to Knowledge Graph Matching
The present research investigates the use of Naive Bayes classifiers to match knowledge graphs and tabular data, with particular emphasis on Column Type Annotation, Cell Entity Annotation, Column Property Annotation and …
Cell Entity AnnotationColumns Property AnnotationColumn Type AnnotationGraph Matching+1Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type Annotations
With the emergence of single-cell foundation models, an important question arises: how do these models perform when trained on datasets having an imbalance in cell type distribution due to rare cell types or biased sampl…
Cell Entity Annotationimbalanced classificationLarge Language ModelSingle-cell modelingKGCODE-Tab Results for SemTab 2022
This paper presents the results of KGCODE-Tab in the tabular data to knowledge graph matching contest SemTab 2022. As an efficient tabular data linking system, KGCODE-Tab is intended to participate in three tasks of the …
Cell Entity AnnotationColumns Property AnnotationColumn Type AnnotationGraph MatchingFrom Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH
This paper presents DAGOBAH SL 2022, a semantic table interpretation system that has been continuously improved over the last four years when participating in the SemTab challenge. This year, we have improved the lookup …
Cell Entity AnnotationColumn Type AnnotationResults 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 Match…
Cell Entity AnnotationColumn Type AnnotationGraph MatchingOntology MatchingTowards an Approach based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph Matching
This paper presents our contribution to the Accuracy Track of Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab). This contribution consists of the proposition of an approach based on knowledge g…
Cell Entity AnnotationColumn Type AnnotationGraph MatchingPositionDAGOBAH: Table and Graph Contexts for Efficient Semantic Annotation of Tabular Data
In this paper, we present the latest improvements of the DAGOBAH system that performs automatic pre-processing and semantic interpretation of tables. In particular, we report promising results obtained in the SemTab 2021…
Cell Entity AnnotationColumn Type AnnotationTable annotationKepler-aSI at SemTab 2021
In this paper, we present our system Kepler-aSI, for the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2021). This system is participating for the second time in this campaign, bringing impro…
Cell Entity AnnotationColumn Type AnnotationGraph MatchingKnowledge Graphs+1MAGIC: Mining an Augmented Graph using INK, starting from a CSV
A large portion of structured data does not yet reap the benefits of the Semantic Web. Therefore, The “Tabular Data to Knowledge Graph Matching” competition at ISWC tries to bridge this gap by evaluating and promoting th…
Cell Entity AnnotationColumn Type AnnotationGraph MatchingTable annotationJenTab Meets SemTab 2021's New Challenges
While tables are a rich source of structured information, their automated use is oftentimes prevented by the inherent ambiguity contained within. Issues ranging from mere typos over inconsistent naming conventions to hom…
Cell Entity AnnotationColumn Type AnnotationGraph MatchingTable annotationTough Tables: Carefully Evaluating Entity Linking for Tabular Data
Table annotation is a key task to improve querying the Web and support the Knowledge Graph population from legacy sources (tables). Last year, the SemTab challenge was introduced to unify different efforts to evaluate tabl…
Cell Entity AnnotationColumn Type AnnotationEntity LinkingKnowledge Graphs+1TURL: Table Understanding through Representation Learning
Relational tables on the Web store a vast amount of knowledge. Owing to the wealth of such tables, there has been tremendous progress on a variety of tasks in the area of table understanding. However, existing work gener…
Cell Entity AnnotationColumns Property AnnotationColumn Type AnnotationRelation Extraction+2Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings
Web tables constitute valuable sources of information for various applications, ranging from Web search to Knowledge Base (KB) augmentation. An underlying common requirement is to annotate the rows of Web tables with sem…
Cell Entity AnnotationEntity EmbeddingsOntology MatchingTable annotation