Browsing by Author "Segarra Flores, José Luis"

Now showing 1 - 5 of 5

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.
LOD-GF: an integral linked open data generation framework
(Springer Nature, 2019) Saquicela Galarza, Víctor Hugo; Segarra Flores, José Luis; Tello Guerrero, Marco Andres; Espinoza Mejía, Jorge Mauricio; Lupercio Novillo, Rosa Lucía; Villazón Terrazas, Boris Marcelo; Saquicela Galarza, Víctor Hugo
Linked Open Data (LOD) generation is a common activity within organizations due to its advantages for sharing and reusing information. Since these technologies require specialized knowledge, the development of technological and methodological tools that allows its implementation is limited. Most of the current solutions are built on top of specific tools which require considerable effort to consolidate into an integral solution. Moreover, those tools work on specific domains, or they do not support some of the phases required for LOD life cycle (e.g., data cleaning, data exploitation). In this paper, we present a framework for LOD management which follows methodological principles presented in the state of the art in scientific literature and provides an unified software tool for publishing LOD for multiple domains and technologies. Our platform leverages a modular ETL processor, allowing a transparent and flexible integration, providing an integral environment for LOD. This framework was tested, successfully, using data sources from different domains, e.g., digital repositories, libraries.
Plataforma para la anotación semántica de servicio web Restful sobre un bus de servicios
(2015) Ortiz Vivar, José Enrique; Segarra Flores, José Luis; Saquicela Galarza, Víctor Hugo
Nowadays, Web Services are widely used so that there is an immense collection of applications on the Web. Most of such applications, like information services about: weather, sports, news, among and others, rely on the use the REST architecture. Due to the massification that Web Services have reached, it is evident that more sophisticated mechanisms for managing and exploitation them are needed therefore, activities of web services such as discovery, searching and composition have become daily tasks among developers. However, some tasks implementation brings some obstacles caused by the lack of automatization within its processes, which requires high human intervention. Currently, the main approach in solving the problem proposed by the lack of automation tasks related to the management of Web Services corresponds to the incorporation of semantic annotations. This approach aims to help computers to interpret and understand the information of Web Services, so that the aforementioned tasks (discovery, searching and composition) can be automated. Nonetheless, most of semantic annotations approaches require manual procedures up to date. Within this context, this thesis work describes the development of a platform for Web Services automatic semantic annotation, a platform that allows generating semantic annotations with reduced human intervention through the development of a component that allows the automatic selection of ontologies according to the Web Services domain.
REDI: a linked data-powered research networking platform
(Springer, 2018) Sumba Toral, Francisco Xavier; Segarra Flores, José Luis; Villazón Terrazas, Boris Marcelo; Espinoza Mejía, Jorge Mauricio; Saquicela Galarza, Víctor Hugo; Sumba Toral, Francisco Xavier
Research networking is a difficult part of academics in spite of the multiple benefits that the Web has brought within this field in recent years. Even though scientific and business social networks provide a medium to discover peers worldwide, their usefulness meets its limits when real-world requirements come in. The broad audience of those tools and other bibliographic databases lead them to ignore cultural and geographical aspects such regional indexes, organizational structures, among others. On this poster, we introduce REDI, a Linked Data - powered research networking platform which combines both local (institutional/regional) and external (Web) scholarly sources in a consolidated knowledge base. Moreover, REDI leverages on its knowledge base to cluster authors within similar research areas easing networking and unveiling a variety of new information from data for multiple purposes.
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.