World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
19351
World Ranking
2719
National Ranking
1351

Research.com Recognitions

  • 2007 - Fellow of Alfred P. Sloan Foundation

Overview

AnHai Doan is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily focuses on various areas within computer science and decision sciences, with particular attention to data quality and management as well as privacy-preserving technologies in data.

The main fields of study for AnHai Doan include:

  • Computer Science
  • Decision Sciences

Their subfields of study emphasize:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

The scientist's research work covers a range of topics such as:

  • Data Quality and Management
  • Privacy-Preserving Technologies in Data
  • Topic Modeling
  • Advanced Database Systems and Queries
  • Data Mining Algorithms and Applications
  • Cloud Computing and Resource Management
  • Scientific Computing and Data Management

AnHai Doan has produced several papers published in notable venues. Some of the recent papers include:

  • Deep learning for blocking in entity matching, 2021, Proceedings of the VLDB Endowment
  • The Seattle Report on Database Research, 2020, ACM SIGMOD Record
  • The Seattle report on database research, 2022, Communications of the ACM
  • Magellan, 2020, Communications of the ACM
  • Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching, 2023, Proceedings of the VLDB Endowment

Frequent co-authors who have collaborated with AnHai Doan include:

  • Derek J. Paulsen
  • Yash Govind
  • Magdalena Bałazińska
  • Surajit Chaudhuri
  • Joseph M. Hellerstein

The research outputs have appeared in various publication venues, with multiple contributions to:

  • Proceedings of the VLDB Endowment
  • ACM SIGMOD Record
  • Communications of the ACM
  • Movebank
  • The VLDB Journal

Among their professional recognitions, AnHai Doan was named a Fellow of the Alfred P. Sloan Foundation in 2007.

Best Publications

  • Crowdsourcing systems on the World-Wide Web

    Anhai Doan;Raghu Ramakrishnan;Alon Y. Halevy

  • Learning to map between ontologies on the semantic web

    AnHai Doan;Jayant Madhavan;Pedro Domingos;Alon Halevy

  • Reconciling schemas of disparate data sources: a machine-learning approach

    AnHai Doan;Pedro Domingos;Alon Y. Halevy

  • Principles of Data Integration

    AnHai Doan;Alon Halevy;Zachary Ives

  • Ontology Matching: A Machine Learning Approach

    AnHai Doan;Jayant Madhavan;Pedro M. Domingos;Alon Y. Halevy

  • Semantic-integration research in the database community: A brief survey

    AnHai Doan;Alon Y. Halevy

  • Learning to match ontologies on the Semantic Web

    AnHai Doan;Jayant Madhavan;Robin Dhamankar;Pedro Domingos

  • iMAP: discovering complex semantic matches between database schemas

    Robin Dhamankar;Yoonkyong Lee;AnHai Doan;Alon Halevy

  • Corpus-based schema matching

    J. Madhavan;P.A. Bernstein;A. Doan;A. Halevy

  • Deep Learning for Entity Matching: A Design Space Exploration

    Sidharth Mudgal;Han Li;Theodoros Rekatsinas;AnHai Doan

  • Deep entity matching with pre-trained language models

    Yuliang Li;Jinfeng Li;Yoshihiko Suhara;AnHai Doan

  • An interactive clustering-based approach to integrating source query interfaces on the deep Web

    Wensheng Wu;Clement Yu;AnHai Doan;Weiyi Meng

  • Learning to Match the Schemas of Data Sources: A Multistrategy Approach

    Anhai Doan;Pedro Domingos;Alon Halevy

  • The Claremont report on database research

    Rakesh Agrawal;Anastasia Ailamaki;Philip A. Bernstein;Eric A. Brewer

  • Corleone: hands-off crowdsourcing for entity matching

    Chaitanya Gokhale;Sanjib Das;AnHai Doan;Jeffrey F. Naughton

  • Semantic-integration research in the database community

    AnHai Doan;Alon Y. Halevy

  • Privacy-preserving data integration and sharing

    Chris Clifton;Murat Kantarcioǧlu;AnHai Doan;Gunther Schadow

  • Learning Source Description for Data Integration.

    AnHai Doan;Pedro M. Domingos;Alon Y. Levy

  • Declarative information extraction using datalog with embedded extraction predicates

    Warren Shen;AnHai Doan;Jeffrey F. Naughton;Raghu Ramakrishnan

  • Tuffy: scaling up statistical inference in Markov logic networks using an RDBMS

    Feng Niu;Christopher Ré;AnHai Doan;Jude Shavlik

  • Magellan: toward building entity matching management systems

    Pradap Konda;Sanjib Das;G C Paul Suganthan;AnHai Doan

Frequent Co-Authors

Alon Halevy
Alon Halevy Facebook (United States)
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Jeffrey F. Naughton
Jeffrey F. Naughton University of Wisconsin–Madison
Zachary G. Ives
Zachary G. Ives University of Pennsylvania
Pedro Domingos
Pedro Domingos University of Washington
Peter Haddawy
Peter Haddawy Mahidol University
Donald Kossmann
Donald Kossmann Microsoft (United States)
Luis Gravano
Luis Gravano Columbia University
Michael J. Franklin
Michael J. Franklin University of Chicago
Clement Yu
Clement Yu University of Illinois at Chicago

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