Home // eKNOW 2016, The Eighth International Conference on Information, Process, and Knowledge Management // View article
Evolutionary Social Knowledge Graphs for Individual and Organizational Learning
Authors:
Christoph Greven
Hendrik Thüs
Mohamed Amine Chatti
Ulrik Schroeder
Keywords: Knowledge Management System; Informal Knowledge; Network Knowledge; Knowledge Graph; Knowledge Evolution; Organizational Learning; Reflection
Abstract:
Knowledge has been identified as one of the most important resources that grants organizations certain competitive advantages. Hence, while dealing with problems like the demographic change, organizations are trying to preserve the knowledge of their members. Its informal and network character, as well as its little half-life demand high standards to record, store and maintain the knowledge which needs to be consider for the development of an appropriate knowledge tool. This paper presents a novel knowledge management system which addresses the scattered, distributed, flexible and interrelated nature of knowledge. It therefore brings different important aspects together and utilizes the personal knowledge management of individuals in working processes together with social collaboration methods for a global organizational learning process. The three reflection layers promote a continuous feedback loop resulting in high quality knowledge maturing. The paper mainly concentrates on the essential underlying architecture and knowledge structure that only makes the learning process possible.
Pages: 100 to 107
Copyright: Copyright (c) IARIA, 2016
Publication date: April 24, 2016
Published in: conference
ISSN: 2308-4375
ISBN: 978-1-61208-472-5
Location: Venice, Italy
Dates: from April 24, 2016 to April 28, 2016