Browsing by Author "Segarra Flores, Jose Luis"

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Discovering research trends in the computer science area of Ecuador: an approach using semantic knowledge bases
(Institute of Electrical and Electronics Engineers Inc., 2019) Segarra Flores, Jose Luis; Ortiz Vivar, José Enrique; Gualan Saavedra, Ronald Marcelo; Saquicela Galarza, Víctor Hugo
We present a study of research trends for the area of Computer Sciences in Ecuador in recent years. This analysis was performed through a new method that leverages on semantic web technologies and external knowledge bases (i.e. DBpedia and UNESCO nomenclature) for identifying research topics within articles' metadata. This information takes into account the documents' publication date in order to construct time series which are analyzed and interpreted looking for trends. Concretely, we focused our study on the REDI (Semantic Repository of Ecuadorian Researchers) knowledge base which compiles most of the scholarly assets produced in Ecuador and more specifically on the Computer Science subset of publications. This study found that most of the research topics have shown an steady growth in the volume of publications over time, whereas the Semantic Web and E-Government research topics had a great impact initially and now have been slightly reducing its share in favor of new topics such as Information Integration, Machine Learning and Data Mining.
Semantically identifying regional-indexed publications, a web-exploring approach
(IEEE, 2018) Ortiz Vivar, Jose Enrique; Sumba Toral, Francisco Xavier; Segarra Flores, Jose Luis; Saquicela Galarza, Víctor Hugo
The indexing services are an important element of researching process because they make publicly available research results and articles for the community. Furthermore, regional indices such Latindex have contributed to spreading scientific works and incentivizing research in the Latin-American context. However, the un-centralized publication approach that its member journals follow has made impossible to form a unified view of Latindex-indexed articles and its corresponding journals. This drawback has limited activities such biblio-metric studies and integration from the perspective of information systems. In this paper, a linking mechanism between journals and publications is outlined, which aims to identify explicitly whether or not an arbitrary article belongs to Latindex. The proposed approach leverages on the Linked Data principles and takes advantage of web search engines to validate its results. This proposal has successfully been evaluated on an Ecuadorian publications dataset obtaining a 0.91 f-score respect to a manually classified sample. © 2018 IEEE.