Search Results for author: Vasilis Efthymiou

Found 5 papers, 1 papers with code

Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review

1 code implementation17 Mar 2022 Nikolaos Fanourakis, Vasilis Efthymiou, Dimitris Kotzinos, Vassilis Christophides

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.

Entity Alignment Knowledge Graph Embedding +2

Results of SemTab 2021

no code implementations ISWC 2021 Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jimenez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed

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.

Graph Matching Table annotation

BI-REC: Guided Data Analysis for Conversational Business Intelligence

no code implementations2 May 2021 Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Vasilis Efthymiou, Fatma Ozcan

In this paper, we propose BI-REC, a conversational recommendation system for BI applications to help users accomplish their data analysis tasks.

Collaborative Filtering

Medical Entity Disambiguation Using Graph Neural Networks

no code implementations3 Apr 2021 Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan

Entity disambiguation (also referred to as entity linking) is considered as an essential task in unlocking the wealth of such medical KBs.

Decision Making Entity Disambiguation +1

Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings

no code implementations The Semantic Web – ISWC 2017 Vasilis Efthymiou, Oktie Hassanzadeh, Mariano Rodriguez-Muro, Vassilis Christophides

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.

Cell Entity Annotation Entity Embeddings

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