Hong Hai Do

Artificial Intelligence · 2000–2005

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Hai Do trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Erhard Rahm
  2. Philip A. Bernstein
  3. Jayant Madhavan
  4. AnHai Doan
  5. Wen-Syan Li
  6. Renée J. Miller
  7. Pedro M. Domingos
  8. Alon Y. Halevy
  9. Chris Clifton
  10. Yannis Kalfoglou

Who trusts Hong Hai Do overall

  1. Jérôme Euzenat
  2. Pavel Shvaiko
  3. Fausto Giunchiglia
  4. Peter Christen
  5. Marc Ehrig
  6. Philip A. Bernstein
  7. Sanjay Krishnan
  8. Giorgos Flouris
  9. Erhard Rahm
  10. Juan-Zi Li

Papers from Hong Hai Do's perspective

Ordered by how strongly the researchers Hong Hai Do trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning to map between ontologies on the semantic web (The Web Conference)
  2. Corpus-based schema matching (IEEE International Conference on Data Engineering)
  3. COMA - A System for Flexible Combination of Schema Matching Approaches (Very Large Data Bases Conference)
  4. Generic Schema Matching with Cupid (Very Large Data Bases Conference)
  5. SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks (Data & Knowledge Engineering)
  6. Federated database systems for managing distributed, heterogeneous, and autonomous databases
  7. A survey of approaches to automatic schema matching (The VLDB journal)
  8. Reconciling schemas of disparate data sources: a machine-learning approach (ACM SIGMOD Conference)
  9. AJAX: an extensible data cleaning tool
  10. Data Cleaning: Problems and Current Approaches.

Their papers