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Recommending Open Linked Data in Creativity Sessions using Web Portals with Collaborative Real Time Environment
BibTeX
@MISC{Dolog_recommendingopen,
author = {Peter Dolog and Frederico Durao and Karsten Jahn and Yujian Lin and Dennis Kjærsgaard Peitersen},
title = {Recommending Open Linked Data in Creativity Sessions using Web Portals with Collaborative Real Time Environment},
year = {}
}
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Abstract
Abstract: In this paper we describe a concept of the recommender system for col-laborative real time web based editing in the context of creativity sessions. The col-laborative real time editing provides creativity teams of which members are physically distributed with an emulation of the synchronous collaboration where presence of the team members is required simultaneously (e.g., brainstorming, meetings). The concept of recommendation is based on matchmaking the currently performed activities at the user interface and external linked open data provided through SPARQL endpoints. The real time propagation of the changes in editor and recommendation is achieved by reverse AJAX and observer pattern. An experiment in the area of the creativity domain shows that the recommendation in collaborative real time editing activities are useful in task performance, guidance, and inspiration.
Keyphrases
creativity session web portal collaborative real time environment open linked data user interface collaborative real time sparql endpoint synchronous collaboration team member creativity team col-laborative real time web real time propagation reverse ajax open data task performance col-laborative real time creativity domain recommender system
