http://dl.gi.de/handle/20.500.12116/34378 2026-07-22T20:35:00Z http://dl.gi.de/handle/20.500.12116/34392 Integrating experience management into the every-day life of organisations Maier, Edith; Reimer, Ulrich Heisig, Peter; Orth, Ronald; Schönborn, Jakob Michael; Thalmann, Stefan The paper discusses the results of extensive interviews to find out if and how companies these days actually manage experience-based knowledge. The study builds on the findings of a previous survey which showed that experience was still considered a valuable resource in times of digital change but rarely managed systematically. Trust and mutual respect as well as good leadership emerge as essential for successfully integrating the exchange and transfer of lessons learned. The good practice examples selected also show that embedding the capture, provision and reuse of knowledge into daily work processes is primarily a question of organizational culture rather than tools. However, the increasing availability of data and process traces as well as advances in text mining and new interface technologies such as voice assistants have given rise to novel solutions that can provide knowledge proactively when- and wherever needed and without requiring additional effort on the part of users. 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/34391 Experience-based Quality Assessment of Distributed Knowledge Graphs Baumeister, Joachim Heisig, Peter; Orth, Ronald; Schönborn, Jakob Michael; Thalmann, Stefan This paper introduces an experience-based approach for the evaluation of distributed knowledge graphs. The quality assessment becomes more important in recent days, since distributed knowledge emerges rapidly in different application areas. The paper reports the domain of industrial configuration and production, where distributed knowledge bases have been maintained manually over decades. We describe the configuration ontology COOM and show how standard technologies can be used to query experience-based anomalies. A selection of anomalies is discussed. 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/34390 Textual Case-based Adaptation using Semantic Relatedness - A Case Study in the Domain of Security Documents Korger, Andreas; Baumeister, Joachim Heisig, Peter; Orth, Ronald; Schönborn, Jakob Michael; Thalmann, Stefan In previous efforts graph-based and textual knowledge representations were combined for the usage in case-based reasoning. This work proposes first steps for this combination in the domain of secu- rity documents and similar document classes. We present an approach pre-processing documents for textual case-based reasoning by adapting methods of natural language processing. We propose a method improving a case-based hierarchical similarity assessment for retrieval by introducing the concept of vector space embeddings and semantic relatedness of words and phrases. 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/34389 Experience management for task placements in a cloud Kübler, Eric; Minor, Mirjam Heisig, Peter; Orth, Ronald; Schönborn, Jakob Michael; Thalmann, Stefan The execution of workflows in a cloud is more and more popular, and new business concept based on this combination emerge. However, the task to control a cloud in such a way, that the rented cloud resources match the requirements for the currently executed workflows is difficult. Simple solutions struggle with over-, and under-provisioning problems or lack the needed flexibility for the new business concepts. A smart concept for cloud management should use knowledge about the characteristic of the executed task to improve the resource utilization of the cloud. In this paper we present our approach for a CBR based concept for cloud management that reuses experience on proper cloud configurations. We introduce our similarity function for task placements in a cloud and illustrate the approach with some sample workflows form the music mastering domain. 2020-01-01T00:00:00Z