P303 - WM 2019 - Wissensmanagement in digitalen Arbeitswelten: Aktuelle Ansätze und Perspektiven - Knowledge Management in Digital Workplace Environments: State of the Art and Outlook
Auflistung P303 - WM 2019 - Wissensmanagement in digitalen Arbeitswelten: Aktuelle Ansätze und Perspektiven - Knowledge Management in Digital Workplace Environments: State of the Art and Outlook nach Autor:in "Baumeister, Joachim"
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- KonferenzbeitragExperience-based Quality Assessment of Distributed Knowledge Graphs(WM 2019 - Wissensmanagement in digitalen Arbeitswelten: Aktuelle Ansätze und Perspektiven - Knowledge Management in Digital Workplace Environments: State of the Art and Outlook, 2020) Baumeister, JoachimThis 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.
- KonferenzbeitragTextual Case-based Adaptation using Semantic Relatedness - A Case Study in the Domain of Security Documents(WM 2019 - Wissensmanagement in digitalen Arbeitswelten: Aktuelle Ansätze und Perspektiven - Knowledge Management in Digital Workplace Environments: State of the Art and Outlook, 2020) Korger, Andreas; Baumeister, JoachimIn 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.