Incremental Indexing

Incremental Indexing is a document processing method in enterprise search systems that selectively updates the search index by incorporating only newly added, modified, or deleted documents since the last indexing cycle, thereby preserving the index's currency while minimizing computational overhead.

57

Publications

5.4K

Citations

166

Authors

71

Institutions

Publications per year

2017–2026

8

Authors

166

  1. HG
    Héctor García-Molina

    Stanford University, United States

    3 publications · 680 citations

    3

    h-index

  2. CP
    Curtis P. Kolovson

    University of California, Berkeley, United States

    2 publications · 131 citations

    2

    h-index

  3. LL
    Lipyeow Lim

    IBM (United States), United States

    2 publications · 51 citations

    2

    h-index

  4. TN
    Tien N. Nguyen

    Iowa State University, United States

    2 publications · 68 citations

    2

    h-index

  5. SB
    Susan B. Davidson

    University of Pennsylvania, United States

    2 publications · 34 citations

    2

    h-index

1–5 of 166

Venues

  1. ACM SIGMOD Record

    3 publications · 960 citations

    3

    h-index

  2. Information Sciences

    2 publications · 46 citations

    2

    h-index

  3. Journal of Computer Science and Technology

    1 publications · 10 citations

    1

    h-index

  4. ACM Transactions on Database Systems

    TODS · 1 publications · 877 citations

    1

    h-index

  5. 1

    h-index

1–5