Browsing by Author "Leiva Mederos, Amed Abel"

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    An empirical performance evaluation of a semantic-based data retrieving process from RDBs & RDF data storages
    (Universidad de Cuenca, 2016-11-16) Tabares Martín, Leandro; Fernández Peña, Félix Oscar; Leiva Mederos, Amed Abel; Nummenmaa, Jyrki
    SQL and, more recently, SPARQL are standard languages of the software industry for retrieving data. Other studies showed that retrieving data by using a SPARQL query is much slower than the semantically equivalent SQL query. Nevertheless, some recent proposals optimized database servers for SPARQL queries. This paper presents the results of a comparative analysis between the capability of SQL and SPARQL with respect to the retrieval of data from a relational database and RDF-triples. A free and open source-based scenario was constructed by using PostgreSQL and Virtuoso for storing data, and RETRI, a data retrieving software built in JavaScript which displays data views in a specific XML format. Open data from the British National Library Bibliographic Data Set were used in the experiment; results were analyzed from a performance perspective.
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    Methodological guidelines for publishing library data as linked data
    (Institute of Electrical and Electronics Engineers Inc., 2017) Higaldo Delgado, Yusniel; Estrada Nelson, Reina; Xu, Bing; Villazón Terrazas, Boris Marcelo; Leiva Mederos, Amed Abel; Tello Guerrero, Marco Andres; Higaldo Delgado, Yusniel
    Publishing data as Linked Data increases the interoperability and discoverability of resources over the web space. This process involves several design decisions and technologies. However, there is no one-size-fits-all formula for publishing data as Linked Data. Also, the quality of linked data published is a key issue to take into account. In the library domain, the quality of linked data is a crucial point for improving the retrieval and use of the data. In this paper, we propose a set of methodological guidelines based on five activities for publishing library data as Linked Data. The proposed guidelines consider the quality of published data as a key issue. In this line, our approach includes a preprocessing task for data cleansing and normalization. The proposed approach has been applied in a use case for publishing bibliographic data from Open Access journals in Cuba. The results obtained show the applicability of the methodological guidelines proposed in a real environment.