Formalization of Technological Knowledge in the Field of Metallurgy Using Document Classification Tools Supported with Semantic Techniques

• Autorzy: Regulski K.

Identyfikatory

DOI

10.1515/amm-2017-0108

• Języki publikacji: EN

Abstrakty

EN

The process of knowledge formalization is an essential part of decision support systems development. Creating a technological knowledge base in the field of metallurgy encountered problems in acquisition and codifying reusable computer artifacts based on text documents. The aim of the work was to adapt the algorithms for classification of documents and to develop a method of semantic integration of a created repository. Author used artificial intelligence tools: latent semantic indexing, rough sets, association rules learning and ontologies as a tool for integration. The developed methodology allowed for the creation of semantic knowledge base on the basis of documents in natural language in the field of metallurgy.

Słowa kluczowe

EN

application of information technology to the foundry industry; document classification; semantic techniques; knowledge formalization; text mining

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2017
• Tom: Vol. 62, iss. 2A
• Strony: 715--720
• Opis fizyczny: Bibliogr. 36 poz., rys., wzory

Twórcy

autor

Regulski K.

• AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Krakow, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).