A knowledge-network model of scientific communities

The amount of information organizations possess now days is overwhelming and the need of being capable of extracting valuable knowledge from such large amount of information is imperative. This thesis presents a software tool capable of extracting valuable knowledge (e.g. expertise) of a scientific community, generating relationships among community members automatically and revealing these relationships through a visualization tool. The types of relationships that this tool reveals are of the form of "who knows what" and "who can collaborate with whom" (both based on areas of expertise). The work presented was conducted and evaluated within the context of research institutions.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2002

Author dc:creator

• Gonzalez Pinto, Jose Maria, 1975-

Advisor dc:contributor.advisor

• Walter Bender.

• Architecture. Program in Media Arts and Sciences.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/8517

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/8517