33 citations · 54 across the 3 of their papers we have counts for
5 papers
Medical Entity Disambiguation Using Graph Neural Networks
Alina Vretinaris, Chuan Lei, Vasilis Efthymiou +2
Medical knowledge bases (KBs), distilled from biomedical literature and regulatory actions, are expected to provide high-quality information to facilitate clinical decision making.…
Benchmarking Blocking Algorithms for Web Entities
Vasilis Efthymiou, Kostas Stefanidis, Vassilis Christophides
An increasing number of entities are described by interlinked data rather than documents on the Web. Entity Resolution (ER) aims to identify descriptions of the same real-world ent…
Property Graph Schema Optimization for Domain-Specific Knowledge Graphs
Chuan Lei, Rana Alotaibi, Abdul Quamar +2
Enterprises are creating domain-specific knowledge graphs by curating and integrating their business data from multiple sources. The data in these knowledge graphs can be described…
MinoanER: Schema-Agnostic, Non-Iterative, Massively Parallel Resolution of Web Entities
Vasilis Efthymiou, George Papadakis, Kostas Stefanidis +1
Entity Resolution (ER) aims to identify different descriptions in various Knowledge Bases (KBs) that refer to the same entity. ER is challenged by the Variety, Volume and Veracity…
End-to-End Entity Resolution for Big Data: A Survey
Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas +2
One of the most important tasks for improving data quality and the reliability of data analytics results is Entity Resolution (ER). ER aims to identify different descriptions that…