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A Linked Data approach to guarantee the semantic interoperability and integrity of university academic data

Abstract:

The growing amount of information in the organizations has led to problems of interoperability and data integrity, thereby forcing development and adoption of new technologies and approaches to give solution to these problems. A solution to this problem is to use the approach that provides the semantic web to achieve interoperability between data from different sources and information systems. Other one of the advantages that offers the semantic web is the construction of descriptive models of information based on ontologies like more complete structures for the description of data. This allows a formal description of them, in addition to their semantic and syntactic representation. This paper describes the design of a RESTful Web services-based architecture that guarantees the semantic interoperability and integrity of academic data of Loja's Particular Technical University. The implementation of the solution proposed in this work is based on the development of a prototype of a RESTful API which provides general information about students, teachers, authorities and academic components. These data are stored in Apache Marmotta's triple store, an open implementation of a linked data platform.