Organisational Knowledge Acquisition with Contested Collective Intelligence in the Web Environment

摘要

Knowledge acquisition (KA) is a hard problem in knowledge engineering. Big Data Analytics (BDA), aiming at derives value out of big data, sheds light on this problem. Advanced data analysing methods and computational platforms make it possible to imitate large members of communities and interactions among the community members. This paper reports the efforts on capturing organisational knowledge through a “Contested Collective Intelligence (CCI)” model in the web environment. We assume that web users are individual experts and the whole web community is a big organisation. The organizational knowledge on the web is emerged and revealed through the interactions where individual users freely express themselves and interact with others to clarify facts, argue about meaning and debate about truth through claim and counterclaims. It is a hope that by capturing those claims, the connections between claims and the final agreement on understanding of the meaning, the collective knowledge emerged on the web can be captured, stored and reused.