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学术报告(Chengkai Li)

题目:Entity-Centric Query and Exploration over Web Text
 
报告人:Chengkai Li, Assistant Professor, University of Texas at Arlington
 
时间:8月1日(星期一)上午 9:00-10:00
 
地点:蒙民伟楼404
 
摘要:
 
The continuous evolution of the Web has made itself the primary
knowledge source for many people. It has become an information
repository full of entities (material or virtual) and descriptions
of their properties and relationships. It presents great potential
for enabling advanced information systems and applications to meet
users’ information needs through entity-centric querying and
exploration of Web text. The prevalent manner in which the users
access the Web and thus tackle the above tasks is still keyword
search. Although keyword search has been quite effective in finding
specific Web pages matching the keywords, there clearly exists a
mismatch between its page-centric text-focused view and the
aforementioned entity-centric structure-focused view of the Web.
Users’ information needs often cannot be clearly expressed with a
set of keywords, and processing the search results may require
substantial user efforts.
 
In this talk, I will present my group's current efforts in enabling
entity-centric query and exploration of Web text. Specifically, I
will introduce a query-dependent faceted interface for Wikipedia and
the ranking, indexing, and query processing issues in a query engine
for entity-relationship queries. I will also demonstrate two research
prototypes.
 
 
报告人简介:
 
Chengkai Li is an Assistant Professor in the Department of Computer
Science and Engineering at the University of Texas at Arlington. His
research interests are in the areas of databases, Web data management,
data mining, and information retrieval. He works on data retrieval and
exploration, query processing and optimization, ranking and top-k
queries, and Web search, mining, and integration. He received his Ph.D.
degree in Computer Science from the University of Illinois at
Urbana-Champaign in 2007, and an M.E. and a B.S. degree in Computer
Science from Nanjing University.
 
URL: http://ranger.uta.edu/~cli
Email: cli [at] uta [dot] edu


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