Casas-Bayona, AlejandraCeballos Cansino, Héctor Gibrán2020-02-132020-02-132014-08-31978-989758035-2http://hdl.handle.net/11285/636128Information integration is not a trivial activity. Information managers face problems like: heterogeneity (in data, schemas, syntax and platforms), distribution and duplicity. In this paper we: 1) analyze ontology-based methodologies that provide mediation frameworks for integrating and reconciling information from structured data sources, and 2) propose the use of available semantic technologies for replicating such functionality. Our aim is providing an agile method for integrating and reconciling information from semistructured data (spreadsheets) and determining to which extent available semantic technologies minimize the need of ontological expertise for information integration. We present our findings and lessons learned from a case study on university rankings data.engOpen Accesshttp://creativecommons.org/licenses/by-nc-nd/4.0/ScienceArtículo de conferenciaDATA 2014 - Proceedings of 3rd International Conference on Data Management Technologies and ApplicationsBest PracticesInformation IntegrationInformation ReconciliationOntologiesSemantic Technology357364Austria / Austria