Comparing of Term Clustering Frameworks for Modular Ontology Learning

Ziwei Xu, Mounira Harzallah, Fabrice Guillet

2018

Abstract

This paper aims to use term clustering to build a modular ontology according to core ontology from domain-specific text. The acquisition of semantic knowledge focuses on noun phrase appearing with the same syntactic roles in relation to a verb or its preposition combination in a sentence. The construction of this co-occurrence matrix from context helps to build feature space of noun phrases, which is then transformed to several encoding representations including feature selection and dimensionality reduction. In addition, the content has also been presented with the construction of word vectors. These representations are clustered respectively with K-Means and Affinity Propagation (AP) methods, which differentiate into the term clustering frameworks. Due to the randomness of K-Means, iteration efforts are adopted to find the optimal parameter. The frameworks are evaluated extensively where AP shows dominant effectiveness for co-occurred terms and NMF encoding technique is salient by its promising facilities in feature compression.

Paper Citation

in Harvard Style

Xu Z., Harzallah M. and Guillet F. (2018). Comparing of Term Clustering Frameworks for Modular Ontology Learning. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD; ISBN 978-989-758-330-8, SciTePress, pages 128-135. DOI: 10.5220/0006960401280135

in Bibtex Style

@conference{keod18,
author={Ziwei Xu and Mounira Harzallah and Fabrice Guillet},
title={Comparing of Term Clustering Frameworks for Modular Ontology Learning},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD},
year={2018},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006960401280135},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD
TI - Comparing of Term Clustering Frameworks for Modular Ontology Learning
SN - 978-989-758-330-8
AU - Xu Z.
AU - Harzallah M.
AU - Guillet F.
PY - 2018
SP - 128
EP - 135
DO - 10.5220/0006960401280135
PB - SciTePress