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Automatic Generation of Ontologies: Comparison of Words Clustering Approaches

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In Proc. of Applied Computing 18, 2018.
Abstract:
In the context of globalization, companies need to capitalize on their knowledge. The knowledge of a company is present in two forms tacit and explicit. Explicit knowledge represents all formalized information i.e all documents (pdf,words ...). Tacit knowledge is present in documents and mind of employees, this kind of knowledge is not formalized, it needs a reasoning process to discover it. The approach proposed focus on extracting implicit knowledge from textual documents. In order to fulfil this goal, the contribution aims to build clusters of selected words that are a first step towards the construction of an ontology. It is thus an automatic assistance to ontology building. The approach is validated on a questions and answers website content.
Keywords:
Knowledge management, Ontologies, Word Clustering, experience feedback
Publication Category:
International conference with proceedings
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