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26-10-2021 | Regular Paper | Issue 11/2021

Knowledge and Information Systems 11/2021

Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions

Journal:
Knowledge and Information Systems > Issue 11/2021
Authors:
Georgios Stratogiannis, Panagiotis Kouris, Georgios Alexandridis, Georgios Siolas, Giorgos Stamou, Andreas Stafylopatis
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Abstract

This article presents a novel framework for the semantic enrichment of documents, exploiting the hierarchical ontological knowledge of a domain in conjunction with classification techniques. The main contributions of this work are fourfold: (a) a well-defined theoretical model for the semantic representation and enrichment of documents is defined, (b) a method for dealing with the problem of class imbalance is outlined, based on the transformation of the document representations into more balanced ones, (c) a methodology is proposed for assigning semantic labels in those cases where it is hard to decide which label fits best and (d) a set of novel metrics for evaluating the performance of the suggested framework are introduced. The extensive experimental procedure that follows, conducted on two popular datasets, exhibits promising results and constitutes a proof of the robustness of the overall approach.

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