Abstract

E-learning resources are developed by people having very different agendas: they need common meta-information framework to enable finding them across organizations. Research problem - how to investigate collaborating services as a self-evolving infrastructure, which would allow to share and reuse the knowledge of users.

The goal of the paper is to model a cluster of tagging services, storing knowledge items such as bookmarks or index-cards. Each service is used by certain user community. Tags are taken from either an open or a closed vocabulary; in order to improve user experience and consistency, the tagging service offers a user a list of suggested tags, and to improve quality of suggestions, it also broadcasts request to other similar tagging services. Whenever the user picks most appropriate suggestions or writes in his/her own, this data is stored back to the tagging services.

The research idea is to use graph and hierarchy theory for tagging service collaboration. Users should retain freedom to classify knowledge as they see fit, but they may benefit of being nudged in the right direction, e.g. given prompts about possible annotations and warned about mistakes or misspellings