Adjective representation with the method Nodes of Knowledge
| Autor: | Sanja Candrlic, Z. Dovedan Han, Mile Pavlić, M. Asenbrener Katic, Alen Jakupović |
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| Přispěvatelé: | Biljanović, Petar |
| Rok vydání: | 2017 |
| Předmět: |
Knowledge representation and reasoning
business.industry Computer science adjective intelligent information system metamodel language Node of Knowledge NOK Open Knowledge Base Connectivity 02 engineering and technology Semantics computer.software_genre Knowledge-based systems Knowledge extraction Knowledge base 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer Sentence Natural language Natural language processing |
| Zdroj: | MIPRO |
| DOI: | 10.23919/mipro.2017.7973610 |
| Popis: | The paper analyzes the semantics of adjectives in sentences in English language. The goal is, based on the analysis of individual sentences and the method of induction, to show the semantic relationship between the adjective and other word types by using the method Nodes of Knowledge (NOK). The NOK method is used for formal knowledge representation expressed in text, i.e. to represent the knowledge network. The method incorporates the enrichment of representation with hidden semantics contained in the context of an individual sentence. The paper analyzes and graphically represents the location of the adjective in a sentence using the NOK method diagram (DNOK). DNOK graphically shows the knowledge network, which can be computer- implemented into the knowledge base as a part of the construction of intelligent information systems. The construction of intelligent information system is not possible without a complete metamodel of language and this work is a contribution to the research. |
| Databáze: | OpenAIRE |
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