Estimating similarity among collaboration contributions

DMCA

Estimating similarity among collaboration contributions (2005)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Kenneth Murray , John Lowrance , Andres Rodriguez

Venue:	In Proceedings of K-CAP 2005
Citations:	1 - 0 self

BibTeX

@INPROCEEDINGS{Murray05estimatingsimilarity,
    author = {Kenneth Murray and John Lowrance and Andres Rodriguez},
    title = {Estimating similarity among collaboration contributions},
    booktitle = {In Proceedings of K-CAP 2005},
    year = {2005}
}

OpenURL

Abstract

{murray lowrance appelt rodriguez} @ ai.sri.com The need for collaboration arises in many activities required for effective problem solving and decision making. We are developing Angler, a web-services tool that supports collaboration among participants on some focus topic. Angler overcomes some common barriers to collaboration by enabling asynchronous and distributed collaboration. Angler supports a collaboration methodology that exploits opportunities afforded by multiple participants each making contributions to the collaboration. One challenge that arises in helping participants manage their contributions and their review of others ’ contributions is determining when one contribution is very similar to another contribution. Two very similar contributions may suggest either a need to merge them or to further elaborate one or both of them. Indexes over the participant contributions are used to assess similarity across contributions and address this challenge. The indexes may comprise lexical or ontological information; the former indexes require fewer resources to deploy but the later appear to support better similarity estimates.

Keyphrases

collaboration contribution common barrier effective problem solving ontological information web-services tool multiple participant collaboration arises distributed collaboration others contribution participant contribution murray lowrance former index similarity estimate focus topic many activity similar contribution rodriguez ai decision making collaboration methodology

DMCA