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Semantic Representation Extraction from Unstructured Arabic Text

Research Authors
Gehad Zakria, Mamdouh Farouk, Khaled Fathy, Malak N Makar
Research Date
Research Department
Research Journal
Proceedings of the 8th International Conference on Software and Information Engineering
Research Member
Research Website
https://dl.acm.org/doi/abs/10.1145/3328833.3328875
Research Year
2019
Research_Pages
222-226
Research Abstract

One of the crucial tasks in the Semantic Web research is extracting information from unstructured text and converting it into semantic form to be machine understandable. This semantic representation is useful for many purposes such as question answering, summarization and information retrieval. This paper provides a system for converting Arabic text into Resource Description Framework (RDF) semantic format. The proposed system includes syntactical parser that used to extract triples (subject-predicate-object) from preprocessed Arabic text. Moreover, name entity recognition is used to extract entities which mapped with DBpedia to get URIs. Finally, the corresponding RDF representation which captures semantics of Arabic text is generated.