DBScholar

Back to papers

Leam: An Interactive System for In-situ Visual Text Analysis

Summary: Leam unifies iterative text analysis into an interactive in‑situ continuum combining notebooks, spreadsheets and visualization to address heterogeneity, provenance and workflow reuse. Offers a unified data model for atomic/composite text types and an expressive algebra to capture operations and coordinate data, code and visuals. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
407
Venue
CIDR
Year
2021
Pagerank
5.093636e-05
Overall Rank
11,627 | 20.23%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{rahman_cidr21,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '21},
        title = {{Leam: An Interactive System for In-situ Visual Text Analysis}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Rahman, Sajjadur and Griggs, Peter and Demiralp, Çağatay},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers