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.
Highlights
Ontology learning (OL), which is the process of creating an ontology and populating it, has been the subject of intensive studies for the past decade
Ontology learning (OL) is the computational task of generating a formal knowledge base in the form of an ontology, given an unstructured corpus whose content is in a natural language (NL)
These techniques do not lead to very accurate learning, mostly because of several linguistic nuances in the NL, which become more challenging due to the complex structure of texts in literary documents [4], [5]
Summary
Ontology learning (OL), which is the process of creating an ontology and populating it, has been the subject of intensive studies for the past decade. Ontology learning (OL) is the computational task of generating a formal knowledge base in the form of an ontology, given an unstructured corpus whose content is in a natural language (NL). This approach is based on the OL layer cake [1], [2]. Accurate NL, and the understanding and conversion of the domain context into an equivalent formal presentation This knowledge base formally represents both assertive facts as well as general truth statements expressed in some NL in a textual document. Primitive categories are not defined by explicit definitions but by axioms that define their meaning implicitly
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