 Artificial Intelligence Methods for Knowledge Management SystemsA. Begler and Tatiana Gavrilova No 15106, Working Papers from Graduate School of Management, St. Petersburg State University Abstract: The paper presents work in progress on the artificial intelligence (AI) methods use in knowledge management (KM) systems. Such methods supposed to improve KM, for example, auto-mated knowledge discovery with data mining and natural language processing techniques (Liebowitz, 2001) or to continuously reinterpret meaning of information with the sense-making injection (Malhotra, 2001). Recent papers focus on the studying of different AI technologies implementation for knowledge management, like big data (Sumbal et al., 2017; Pauleen et al., 2017), ontology-based methods (Zhang et al., 2015; Remolona et al., 2017), intelligent agents (Kravchenko & Kureichik, 2014; Chang et al., 2017; Kadhim et al., 2017). However, a lack of systemic understanding of their application is still exists. In the paper we aimed to answer the question: What is the role of different types of artificial intelligence methods in the knowledge management systems dedicated for solving particular tasks? To do this several steps is taken. First, analytical framework for existing cases of AI applications was constructed. The framework consists of for embedded dimension: organizational con-text and environment, KM processes and tools, KM system architecture, AI technology implementa-tion. For every dimension a set of characteristics was considered by which use cases can be analyzed. Second, based on the characteristics an analysis of the published KM systems with the incorporated AI technologies was performed. The analysis followed Tranfield et al. (2013) methodology with a three stages: planning, conducting, and reporting the review. For the planning stage analytical framework were used as well as analysis of the relevant literature. At the conducting stage search be the keywords in Scopus database was performed yielded 174 papers as an initial result, than exclusion criteria was applied to the results resulted in the 83 papers for the further analysis. This is a current stage of the research. After it will be finished, a synthesis of the patterns will be performed to create the model of AI technologies use in the KM systems. Keywords: artificial intelligence; knowledge management system; system architecture; knowledge management (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sps:wpaper:15106 Access Statistics for this paper More papers in Working Papers from Graduate School of Management, St. Petersburg State University Contact information at EDIRC. |
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