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Textual Case-based Adaptation using Semantic Relatedness - A Case Study in the Domain of Security Documents

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2020

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Gesellschaft für Informatik e.V.

Zusammenfassung

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.

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Korger, Andreas; Baumeister, Joachim (2020): Textual 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. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-607-8. pp. 108-122. WS III: 8th German Workshop on Experience Management. Potsdam. 18.-20. März 2019

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