Authors:
Alejandra Casas-Bayona
and
Hector G. Ceballos
Affiliation:
Tecnologico de Monterrey, Mexico
Keyword(s):
Semantic Technology, Ontologies, Information Integration, Information Reconciliation, Best Practices.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
Data Management and Quality
;
e-Business
;
Enterprise Information Systems
;
Information Integration
;
Integration/Interoperability
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Organizational Concepts and Best Practices
;
Symbolic Systems
Abstract:
Information 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 semi-structured
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.