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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Sajjadur Rahman (Megagon Labs)
- 2. Peter Griggs (Massachusetts Institute of Technology)
- 3. Çağatay Demiralp (Sigma Computing)
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)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,933 | LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes | 2025 | VLDB | 5.093636e-05 |
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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.
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