Demo Data from EDBT 2026 / reviewers in the wild / expert
Kedar Takwane
dblp:380/1899
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0002-8071-7302ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% | |
| Artificial intelligence
1 paper |
Question answering and dialogue systems · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
personal information management |
0.8 | 1 | 2024 | TextData: Save What You Know and Find What You Don't · SIGIR 2024 |
Information retrieval › query understanding › query intent understanding
search intent prediction |
0.8 | 1 | 2024 | TextData: Save What You Know and Find What You Don't · SIGIR 2024 |
Natural language and speech › Question answering and dialogue systems › answer generation
generative question answering |
0.2 | 1 | 2024 | TextData: Save What You Know and Find What You Don't · SIGIR 2024 |
Visualization and visual analytics › information visualization
relationship visualization |
0.2 | 1 | 2024 | TextData: Save What You Know and Find What You Don't · SIGIR 2024 |
Methods — techniques the papers use, named apart from their topics
markdown · 2.3large language model · 2.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | TextData: Save What You Know and Find What You Don'tabstractIn this demonstration, we present TextData, a novel online system that enables users to both "save what they know" and "find what they don't". TextData was developed based on the Community Digital Library (CDL) system. Although the CDL allowed users to bookmark webpages with plain text and provided search and recommendation, it fell short in key features. To better help users save what they know, TextData offers the addition of markdown to submissions for providing a richer method of note-taking. To better help users find what they don't, TextData provides methods for visualizing the relationships among submissions and provides in-context interactive search intent prediction with question-answering via a generative large language model. TextData is free-to-use, can be accessed online, and the source code is publicly available. Kevin Ros, Kedar Takwane, Ashwin Patil, Rakshana Jayaprakash, ChengXiang Zhai |
SIGIR | 2 |