activity
20192021
most citedMedical Entity Disambiguation Using Graph Neural Networks

33 citations · 54 across the 3 of their papers we have counts for

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Showing cs.DBShow all

5 papers · 1 filter

cs.DB2021

BI-REC: Guided Data Analysis for Conversational Business Intelligence

Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei +2

Conversational interfaces to Business Intelligence (BI) applications enable data analysis using a natural language dialog in small incremental steps. To truly unleash the power of…

cs.DB202017 cited

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…

cs.DB2020

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…

cs.DB20194 cited

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…

cs.DB2019

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…