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Jing Michelle Liu

dblp:16/3147 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Information retrieval › search engines
desktop search
0.112005
Personal information management with SEMEX · SIGMOD Conference 2005
Information retrieval
personal information management
0.112005
Personal information management with SEMEX · SIGMOD Conference 2005
Data integration and cleaning
heterogeneous data
0.012005
Personal information management with SEMEX · SIGMOD Conference 2005

Methods — techniques the papers use, named apart from their topics

query tool · 0.1
YearPublicationVenuePosition
2005 Personal information management with SEMEX
abstract
The 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 Conference4