Abdul H Quamar  Abdul H Quamar photo         

contact information

Research Staff Member
Almaden Research Center, San Jose, CA, USA
  +1dash408dash927dash2836

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Professional Associations

Professional Associations:  ACM SIGMOD

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More information:  LinkedIn  |  Google Scholar  |  DBLP  |  Curriculum Vitae


2020

Conversational BI: an ontology-driven conversation system for business intelligence applications
Abdul Quamar, Fatma Ozcan, Dorian Miller, Robert J. Moore, Rebecca Niehus, Jeffrey Kreulen
Proceedings of the VLDB Endowment, pp. 3369-3381, 2020
conversation, business intelligence, ontology, world wide web, computer science

ATHENA++: Natural Language Querying for Complex Nested SQL Queries
Jaydeep Sen, Chuan Lei, Abdul Quamar, Fatma Ozcan, Vasilis Efthymiou, Ayushi Dalmia, Greg Stager, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan
Proc. VLDB Endow. 13(11), 2747--2759, 2020

Property Graph Schema Optimization for Domain-Specific Knowledge Graphs
Chuan Lei, Rana Alotaibi, Abdul Quamar, Vasilis Efthymiou, Fatma Ozcan
CoRR abs/2003.11580 (2020)
Abstract

Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare
Abdul Quamar, Jannik Straube, Yuanyuan Tian
CIDR 2020, 10th Conference on Innovative Data Systems Research, Amsterdam, The Netherlands, January 12-15, 2020
Abstract

State of the Art and Open Challenges in Natural Language Interfaces to Data
Fatma Ozcan, Abdul Quamar, Jaydeep Sen, Chuan Lei, Vasilis Efthymiou
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pp. 2629--2636

An Ontology-Based Conversation System for Knowledge Bases
Abdul Quamar, Chuan Lei, Dorian Miller, Fatma Ozcan, Jeffrey Kreulen, Robert J. Moore, Vasilis Efthymiou
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pp. 361--376


2019

Natural Language Querying of Complex Business Intelligence Queries
Jaydeep Sen, Fatma Ozcan, Abdul Quamar, Greg Stager, Ashish R. Mittal, Manasa Jammi, Chuan Lei, Diptikalyan Saha, Karthik Sankaranarayanan
Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019., pp. 1997--2000


2018

Ontology-Based Natural Language Query Interfaces for Data Exploration
Chuan Lei, Fatma Ozcan, Abdul Quamar, Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan
IEEE Data Eng. Bull. 41(3): 52-63 (2018)

Discovery and Creation of Rich Entities for Knowledge Bases
Abdul Quamar, Fatma Ozcan, Konstantinos Xirogiannopoulos
Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web, 2018
Abstract   sql, sparql, ontology concept, ontology, ontology, knowledge base, information retrieval, information extraction, database, data model, computer science


2017

Creation and Interaction with Large-scale Domain-specific Knowledge Bases
S. Bharadwaj, L. Chiticariu, M. Danilevsky, S. Dhingra, S. Divekar, A. Carreno-Fuentes, H. Gupta, N. Gupta, S.-D. Han, M. Hernandez, H. Ho, P. Jain, S. Joshi, H. Karanam, S. Krishnan, R. Krishnamurthy, Y. Li, S. Manivannan, A. Mittal, F.
Proc. VLDB Endow. 10(12), 1965--1968, VLDB Endowment, 2017
Abstract


2016

High Performance Query Processing and Data Analytics.
Badrish Chandramouli (MSR), Jonathan Goldstein (MSR), Abdul Quamar (UMD), Ahmed Eldawy (University of Minnesota), Raul Fernandez (MIT).

The Quill Distributed Analytics Library and Platform
Chandramouli, Badrish and Fernandez, Raul Castro and Goldstein, Jonathan and Eldawy, Ahmed and Quamar, Abdul
Technical Report, Technical report, Microsoft Research (MSR-TR-2016-25). http://aka. ms/quill-tr
Abstract

NScale: neighborhood-centric large-scale graph analytics in the cloud
Quamar, Abdul and Deshpande, Amol and Lin, Jimmy
The VLDB Journal—The International Journal on Very Large Data Bases 25(2), 125--150, Springer-Verlag New York, Inc., 2016
Abstract

NScaleSpark: subgraph-centric graph analytics on Apache Spark
Quamar, Abdul and Deshpande, Amol
Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, pp. 5, 2016
Abstract

Quill: efficient, transferable, and rich analytics at scale
Chandramouli, Badrish and Fernandez, Raul Castro and Goldstein, Jonathan and Eldawy, Ahmed and Quamar, Abdul
Proceedings of the VLDB Endowment 9(14), 1623--1634, VLDB Endowment, 2016
Abstract


2015

BUILDING EFFICIENT AND COST-EFFECTIVE CLOUD-BASED BIG DATA MANAGEMENT SYSTEMS
Quamar, Abdul
Ph.D. Thesis, Computer Science, University of Maryland, 2015
Abstract


2014

SWORD: workload-aware data placement and replica selection for cloud data management systems
Kumar, K Ashwin and Quamar, Abdul and Deshpande, Amol and Khuller, Samir
The VLDB Journal 23(6), 845--870, Springer, 2014
Abstract

NScale: neighborhood-centric analytics on large graphs
Quamar, Abdul and Deshpande, Amol and Lin, Jimmy
Proceedings of the VLDB Endowment 7(13), 1673--1676, VLDB Endowment, 2014
Abstract


2013

Deterministic progressive big data analytics
Chandramouli, Badrish and Goldstein, Jonathan and Quamar, Abdul Hussain
US Patent App. 13/915,632
Abstract

Scalable progressive analytics on big data in the cloud
Chandramouli, Badrish and Goldstein, Jonathan and Quamar, Abdul
Proceedings of the VLDB Endowment 6(14), 1726--1737, VLDB Endowment, 2013
Abstract

SWORD: scalable workload-aware data placement for transactional workloads
Quamar, Abdul and Kumar, K Ashwin and Deshpande, Amol
Proceedings of the 16th International Conference on Extending Database Technology, pp. 430--441, 2013
Abstract

Scaling transactional workloads on the cloud
Quamar, Abdul
Master's Thesis Report, Computer Science, University of Maryland, 2013
Abstract


2012

Neighborhood Cache for mobile ad-hoc networks.
Quamar, Abdul and Bhattacharjee, Souvik
Technical Report, Databases, Computer Science, University of Maryland, 2012


2011

Graph Partitioning using Parallel Clustering for Improving Performance of Distributed Databases
Quamar, Abdul and Mondal, Jayanta and Elsaka, Ethar
Technical Report, High Performance Computing, Computer Science, University of Maryland, 2011


2010

Predicting Dense Regions in Dynamic Graphs
Kayyoor, Ashwin and Quamar, Abdul
Technical Report, Machine Learning, Computer Science, University of Maryland, 2010