Rule-based System Enriched with a Folksonomy-based Matcher for Generating Information Integration Alignments

Alexandre Gouveia, Nuno Silva, Paulo Martins

Abstract

Ontology matchers establish correspondences between ontologies to enable knowledge from different sources and domains to be used in ontology mediation tasks (e.g. data transformation and information/ knowledge integration) in many ways. While these processes demand great quality alignments, even the best-performing alignment needs to be corrected and completed before application. In this paper, we propose a rule-based system that improves and completes the automatically-generated alignments into fully-fledged alignments. For that, the rules capture the pre-conditions (existing facts) and the actions to solve each (ambiguous) scenario, in which automatic decisions supported by a folksonomy-based matcher are adopted. The evaluation of the proposed system shows the increasing accuracy of the alignments.

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Paper Citation


in Harvard Style

Gouveia A., Silva N. and Martins P. (2017). Rule-based System Enriched with a Folksonomy-based Matcher for Generating Information Integration Alignments.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 211-218. DOI: 10.5220/0006505302110218


in Bibtex Style

@conference{keod17,
author={Alexandre Gouveia and Nuno Silva and Paulo Martins},
title={Rule-based System Enriched with a Folksonomy-based Matcher for Generating Information Integration Alignments},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={211-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006505302110218},
isbn={978-989-758-272-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Rule-based System Enriched with a Folksonomy-based Matcher for Generating Information Integration Alignments
SN - 978-989-758-272-1
AU - Gouveia A.
AU - Silva N.
AU - Martins P.
PY - 2017
SP - 211
EP - 218
DO - 10.5220/0006505302110218