Ontology-quality Evaluation Methodology for Enhancing Semantic Searches and Recommendations: A Case Study

Paula Peña, Raquel Trillo-Lado, Rafael Hoyo, María Rodríguez-Hernández, David Abadía

2020

Abstract

In the big data era, there exist an increasing demand of models and tools to evaluate quality of data used in decision-making and search processes, as decision based on wrong and poor data quality can lead to enormous loss. Thus, data has become an asset and the most powerful enabler of any organization. In this context, ontologies and semantic techniques have gained importance in order to represent data sources and metadata during the last decades. In this paper, we describe our work-in-progress concerning to the generation of models that encourage data quality through the use of ontologies. In particular, we present a use case where an enriched ontological model of ESCO (European Skills, Competences, Qualifications and Occupations) is used to improve the effectiveness of a search and recommendation system. In more detail, we focus on how ESCO is enriched by following METHONTOLOGY methodology and 101 methodological guidelines. We also provide the design of a search and recommendation system oriented to labour market that exploits the enhanced ontology to suggest qualifications required by job seekers and employees to reach a specific occupation position and different training itineraries to get those recommended qualifications.

Paper Citation

in Harvard Style

Peña P., Trillo-Lado R., Hoyo R., Rodríguez-Hernández M. and Abadía D. (2020). Ontology-quality Evaluation Methodology for Enhancing Semantic Searches and Recommendations: A Case Study.In Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-478-7, pages 277-284. DOI: 10.5220/0010143602770284

in Bibtex Style

@conference{webist20,
author={Paula Peña and Raquel Trillo-Lado and Rafael Hoyo and María Rodríguez-Hernández and David Abadía},
title={Ontology-quality Evaluation Methodology for Enhancing Semantic Searches and Recommendations: A Case Study},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2020},
pages={277-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010143602770284},
isbn={978-989-758-478-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Ontology-quality Evaluation Methodology for Enhancing Semantic Searches and Recommendations: A Case Study
SN - 978-989-758-478-7
AU - Peña P.
AU - Trillo-Lado R.
AU - Hoyo R.
AU - Rodríguez-Hernández M.
AU - Abadía D.
PY - 2020
SP - 277
EP - 284
DO - 10.5220/0010143602770284