Axiomatic Ontology Learning Approaches for English Translation of the Meaning of Quranic Texts

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ID: 59200
2017
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Abstract
Ontology learning (OL) is the computational task of generating a knowledge base in the form of an ontology, given an unstructured corpus in natural language (NL). While most works in the field of ontology learning have been primarily based on a statistical approach to extract lightweight OL, very few attempts have been made to extract axiomatic OL (called heavyweight OL) from NL text documents. Axiomatic OL supports more precise formal logic-based reasoning when compared to lightweight OL. Lexico-syntactic pattern matching and statisticsal one cannot lead to very accurate learning, mostly because of several linguistic nuances in the NL. Axiomatic OL is an alternative methodology that has not been explored much, where a deep linguistics analysis in computational linguistics is used to generate formal axioms and definitions instead of simply inducing a taxonomy. The ontology that is created not only stores the information about the application domain in explicit knowledge, but also can deduce the implicit knowledge from this ontology. This research will explore the English translation of the meaning of Quranic texts.
Reference Key
saidah2017axiomaticmatec Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Saidah, Saad;Bahari, Idrus;
Journal matec web of conferences
Year 2017
DOI
DOI not found
URL
https://doi.org/10.1051/matecconf/201713500075
Keywords
Education Biology (General) Engineering (General). Civil engineering (General) Information technology Computer applications to medicine. Medical informatics history of scholarship and learning. the humanities special aspects of education electronic computers. computer science geography. anthropology. recreation geodesy

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