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Grammatical Structure Oriented Automated Approach for Surface Knowledge Extraction from Open Domain Unstructured Text

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dc.contributor.author Tissera, M.
dc.contributor.author Weerasinghe, R.
dc.date.accessioned 2022-11-01T06:29:27Z
dc.date.available 2022-11-01T06:29:27Z
dc.date.issued 2022
dc.identifier.citation Tissera, M., & Weerasinghe, R. (2022). Grammatical Structure Oriented Automated Approach for Surface Knowledge Extraction from Open Domain Unstructured Text. Journal of Information and Communication Convergence Engineering, 20(2), 113–124. https://doi.org/10.6109/JICCE.2022.20.2.113 en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/25455
dc.description.abstract News in the form of web data generates increasingly large amounts of information as unstructured text. The capability of understanding the meaning of news is limited to humans; thus, it causes information overload. This hinders the effective use of embedded knowledge in such texts. Therefore, Automatic Knowledge Extraction (AKE) has now become an integral part of Semantic web and Natural Language Processing (NLP). Although recent literature shows that AKE has progressed, the results are still behind the expectations. This study proposes a method to auto-extract surface knowledge from English news into a machine-interpretable semantic format (triple). The proposed technique was designed using the grammatical structure of the sentence, and 11 original rules were discovered. The initial experiment extracted triples from the Sri Lankan news corpus, of which 83.5% were meaningful. The experiment was extended to the British Broadcasting Corporation (BBC) news dataset to prove its generic nature. This demonstrated a higher meaningful triple extraction rate of 92.6%. These results were validated using the inter-rater agreement method, which guaranteed the high reliability. en_US
dc.publisher Journal of Information and Communication Convergence Engineering en_US
dc.subject Automatic Knowledge Extraction, Relation extraction, Natural Language Processing, Semantic Web, Triples Extraction en_US
dc.title Grammatical Structure Oriented Automated Approach for Surface Knowledge Extraction from Open Domain Unstructured Text en_US


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