Comparison of Two Versions of Formalization Method for Text Expressed Knowledge

Katić, Martina Ašenbrener; Čandrlić, Sanja; Pavlić, Mile

doi:10.1007/978-3-319-58274-0_5

Cited by 6 publications

(2 citation statements)

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“…the FNOK formalism [6], [13] is used to transform the sentences. The procedure for transforming sentences into FNOK form is given in [6], and it enables sentences with semantic link between nodes, using wh-questions, to be displayed textually [19].…”

Section: Methodsmentioning

confidence: 99%

Fable Representation in FNOK and DNOK Formalisms Using the NOK Conceptual Framework

Koch¹,

Katić²,

Pavlić³

2017

DAAAM Proceedings

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The conceptual framework NOK (Node of Knowledge) consists of the NOK method, and DNOK and FNOK formalisms. Formalism DNOK enables a graphical representation and organization of knowledge in the form of a diagram as network nodes, and FNOK formalism represents knowledge in a textual form, which is suitable for entry into a relational database. This paper describes the representation of a text in DNOK form and formalized FNOK form, on the example of Aesop's fable "The Goose with the Golden Egg". The sentences from the fable consist of at least two actions, that is, they contain two verbs, and the paper shows that DNOK and FNOK formalisms can also be applied to such complex sentences.

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Section: Methodsmentioning

confidence: 99%

Fable Representation in FNOK and DNOK Formalisms Using the NOK Conceptual Framework

Koch¹,

Katić²,

Pavlić³

2017

DAAAM Proceedings

Self Cite

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show abstract

“…To achieve this goal, it is necessary to design a metamodel of the language and enable insert of sentences in natural language into a database. To store the sentences in natural language in a database, it is necessary to transform them into a formalized record (FNOK record) [28,29]. To create a metamodel, analysis of each word type is necessary, as well as definition of rules for transformation of sentences and words into formalized records that will be in a form suitable for insertion into relational database.…”

Section: Research Motivationmentioning

confidence: 99%