Recommending Open Linked Data in Creativity Sessions using Web Portals with Collaborative Real Time Environment

Peter Dolog (Aalborg University, Denmark)

Frederico Durao (Aalborg University, Denmark)

Karsten Jahn (Aalborg University, Denmark)

Yujian Lin (Aalborg University, Denmark)

Dennis Kjaersgaard Peitersen (Aalborg University, Denmark)

Abstract: In this paper we describe a concept of the recommender system for collaborative real time web based editing in the context of creativity sessions. The collaborative 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.

Keywords: Web portals, collaborative real time editing, open linked data, portlets, recommender systems

Categories: H.3.3, L.1.0, L.1.2, L.6.2