Abdul Quamar

According to our database1, Abdul Quamar authored at least 27 papers between 2013 and 2024.

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Bibliography

2024
Alfa: active learning for graph neural network-based semantic schema alignment.
VLDB J., July, 2024

2023
HERMES: data placement and schema optimization for enterprise knowledge bases.
VLDB J., May, 2023

Front Matter.
Proc. VLDB Endow., 2023

2022
Natural Language Interfaces to Data.
Found. Trends Databases, 2022

2021
BI-REC: Guided Data Analysis for Conversational Business Intelligence.
CoRR, 2021

Semantic enrichment of data for AI applications.
Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

Boomerang: Proactive Insight-Based Recommendations for Guiding Conversational Data Analysis.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Property Graph Schema Optimization for Domain-Specific Knowledge Graphs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
ATHENA++: Natural Language Querying for Complex Nested SQL Queries.
Proc. VLDB Endow., 2020

Conversational BI: An Ontology-Driven ConversationSystem for Business Intelligence Applications.
Proc. VLDB Endow., 2020

An Ontology-Based Conversation System for Knowledge Bases.
Proceedings of the 2020 International Conference on Management of Data, 2020

State of the Art and Open Challenges in Natural Language Interfaces to Data.
Proceedings of the 2020 International Conference on Management of Data, 2020

Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

Bootstrapping Natural Language Querying on Process Automation Data.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
Natural Language Querying of Complex Business Intelligence Queries.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Ontology-Based Natural Language Query Interfaces for Data Exploration.
IEEE Data Eng. Bull., 2018

Discovery and Creation of Rich Entities for Knowledge Bases.
Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web, 2018

2017
Creation and Interaction with Large-scale Domain-Specific Knowledge Bases.
Proc. VLDB Endow., 2017

2016
NScale: neighborhood-centric large-scale graph analytics in the cloud.
VLDB J., 2016

Quill: Efficient, Transferable, and Rich Analytics at Scale.
Proc. VLDB Endow., 2016

NScaleSpark: subgraph-centric graph analytics on Apache Spark.
Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, 2016

2015
Building Efficient and Cost-Effective Cloud-based Big Data Management Systems.
PhD thesis, 2015

2014
SWORD: workload-aware data placement and replica selection for cloud data management systems.
VLDB J., 2014

NScale: Neighborhood-centric Analytics on Large Graphs.
Proc. VLDB Endow., 2014

2013
Scalable Progressive Analytics on Big Data in the Cloud.
Proc. VLDB Endow., 2013

SWORD: scalable workload-aware data placement for transactional workloads.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013


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