March 15, 2004

Information retrieval research

March 15, 2004 - Categories: -Uncategorized

Implicit query

Personal information management

- UC Berkeley: School of Information Management and Systems - Canterbury, NZ: http://www.cosc.canterbury.ac.nz/research/RG/HCI/InfoRetrieval/ - http://www.cs.yale.edu/people/faculty/gelernter.html: lifestreams - http://www.ics.uci.edu/~jpd/research/temporal.html: temporal and social structures - http://haystack.lcs.mit.edu/ : (Oh wow... pretty... Cluttered, but pretty...) - http://kftf.ischool.washington.edu/projKFTF.asp - http://osafoundation.org/OSAF_Our_Vision.htm: Chandler - http://blog.mathemagenic.com/2004/02/01.html

Searching for all entries related to a person

March 15, 2004 - Categories: -Uncategorized

How would I search for all entries related to a particular person? A BBDB search that resolved URLs would get the explicit bbdb links perfectly, but what about the links automatically derived from annotations? I could search for all links and then parse out the name derived from the BBDB if the link is of the form _____ from/to ____ .

The more general question is:

How do you extract entities (persons / resources) from semi-structured text? I'm working with hyperlinked entries, so I can assume that:

- any e-mail is associated with a person (I hope) - websites will frequently be rooted off another person's namespace - the contact database is populated by people - names will tend to be non-dictionary, capitalized words

I'll start out by getting explicit, consistent links recognized. Then explicit, inconsistent links. Then unlinked names (woohoo).

- http://www.stanford.edu/class/cs276a/syllabus.html