Browsing by Author "Ortiz Vivar, Jose Enrique"

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Author-topic classification based on semantic knowledge
(Springer Verlag, 2019) Segarra Flores, José Luis; Sumba Toral, Francisco Xavier; Ortiz Vivar, Jose Enrique; Gualan Saavedra, Ronald Marcelo; Espinoza Mejía, Jorge Mauricio; Saquicela Galarza, Víctor Hugo
We propose a novel unsupervised two-phased classification model leveraging from semantic web technologies for discovering common research fields between researchers based on information available from a bibliographic repository and external resources. The first phase performs coarse-grained classification by knowledge disciplines using as reference the disciplines defined in the UNESCO thesaurus. The second phase provides a fine-grained classification by means of a clustering approach combined with external resources. The methodology was applied to the REDI (Semantic Repository of Ecuadorian researchers) project, with remarkable results and thus proving a valuable tool to one of the main REDI’s goals discover Ecuadorian authors sharing research interests to foster collaborative research efforts.
REDI: towards knowledge graph-powered scholarly information management and research networking
(2020) Ortiz Vivar, Jose Enrique; Segarra Flores, José Luis; Villazón Terrazas, Boris Marcelo; Saquicela Galarza, Víctor Hugo
Academic data management has become an increasingly challenging task as research evolves over time. Essential tasks such as information retrieval and research networking have turned into extremely difficult operations due to an ever-growing number of researchers and scientific articles. Numerous initiatives have emerged in the IT environments to address this issue, especially focused on web technologies. Although those approaches have individually provided solutions for diverse problems, they still can not offer integrated knowledge bases nor flexibility to exploit adequately this information. In this article, we present REDI, a Linked Data-powered framework for academic knowledge management and research networking, which introduces a new perspective of integration. REDI combines information from multiple sources into a consolidated knowledge base through state-of-the-art procedures and leverages semantic web standards to represent the information. Moreover, REDI takes advantage of such knowledge for data visualisation and analysis, which ultimately improves and simplifies many activities including research networking.
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.