Knowledge Acquisition from Critical Annotations

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dc.contributor.authorTamás Mészáros
dc.contributor.authorMargit Kiss
dc.date.accessioned2024-03-06T09:35:08Z
dc.date.available2024-03-06T09:35:08Z
dc.date.issued2018
dc.description.abstractCritical annotations are important knowledge sources when researching one’s oeuvre. They describe literary, historical, cultural, linguistic and other kinds of information written in natural languages. Acquiring knowledge from these notes is a complex task due to the limited natural language understanding capability of computerized tools. The aim of the research was to extract knowledge from existing annotations, and to develop new authoring methods to facilitate the knowledge acquisition. After structural and semantic analysis of critical annotations, authors developed a software tool that transforms existing annotations into a structured form that encodes referral and factual knowledge. Authors also propose a new method for authoring annotations based on controlled natural languages. This method ensures that annotations are semantically processable by computer programs and the authoring process remains simple for non-technical users.
dc.identifier.doi10.3390/info9070179
dc.identifier.issn2078-2489
dc.identifier.mtmt3405571
dc.identifier.urihttps://krepozit.kre.hu/handle/123456789/874
dc.language.isoen
dc.relation.ispartofINFORMATION (BASEL): 9 (7) pp 1-10 (2018)
dc.titleKnowledge Acquisition from Critical Annotations
dc.typeArticle
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