Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
14
click to vote
WWW
2008
ACM
favorite
Email
discuss
report
82
views
Internet Technology
»
more
WWW 2008
»
Histrace: building a search engine of historical events
14 years 11 months ago
Download
www2008.org
In this paper, we describe an experimental search engine on our
Lian'en Huang, Jonathan J. H. Zhu, Xiaoming Li
Real-time Traffic
Internet Technology
|
WWW 2008
|
claim paper
Related Content
»
Reasoning about fuzzy temporal information from the web towards retrieval of historical ev...
»
Learning Recurrent Event Queries for Web Search
»
Timedependent semantic similarity measure of queries using historical clickthrough data
»
Breakingstory visualizing change in online news
»
A probabilistic model for retrospective news event detection
»
Learning Similarity Metrics for Event Identification in Social Media
»
A tool set for the quick and efficient exploration of large document collections
»
A database of phylogenetically atypical genes in archaeal and bacterial genomes identified...
»
Compareampcontrast using the web to discover comparable cases for news stories
more »
Post Info
More Details (n/a)
Added
21 Nov 2009
Updated
21 Nov 2009
Type
Conference
Year
2008
Where
WWW
Authors
Lian'en Huang, Jonathan J. H. Zhu, Xiaoming Li
Comments
(0)
Researcher Info
Internet Technology Study Group
Computer Vision