Demo Data from EDBT 2026 / reviewers in the wild / expert
Jing Michelle Liu
dblp:16/3147
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
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 · 87% Data integration and cleaning · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › search engines
desktop search |
0.1 | 1 | 2005 | Personal information management with SEMEX · SIGMOD Conference 2005 |
Information retrieval
personal information management |
0.1 | 1 | 2005 | Personal information management with SEMEX · SIGMOD Conference 2005 |
Data integration and cleaning
heterogeneous data |
0.0 | 1 | 2005 | Personal information management with SEMEX · SIGMOD Conference 2005 |
Methods — techniques the papers use, named apart from their topics
query tool · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Personal information management with SEMEXabstractThe explosion of information available in digital form has made search a hot research topic for the Information Management Community. While most of the research on search is focused on the WWW, individual computer users have developed their own vast collections of data on their desktops, and these collections are in critical need for good search and query tools. The problem is exacerbated by the proliferation of varied electronic devices (laptops, PDAs, cellphones) that are at our disposal, which often hold subsets or variations of our data. In fact, several recent venues have noted Personal Information Management (PIM) as an area of growing interest to the data management community [1, 8, 6] Yuhan Cai, Xin Dong 0001, Alon Y. Halevy, Jing Michelle Liu, Jayant Madhavan |
SIGMOD Conference | 4 |