AC-Redes semânticas de hashtags: modelo de estudo métrico de informações em saúde em mídias sociais / CA-Hashtags semantic networks: a metric study model of health information on social media / AC-Redes semánticas de hashtags: un modelo de estudio métrico de información de salud en las redes sociales

As mídias sociais são importantes canais de difusão de informações em saúde. O objetivo deste artigo é apresentar um modelo de estudo métrico de informações para minerar temáticas relacionadas à covid-19 no Facebook, intitulado AC-Redes semânticas de hashtags. O modelo é composto pelos métodos de análise de redes semânticas e de análise de coocorrência. As métricas aplicadas no período de maio de 2020 a janeiro de 2021 foram: as frequências de hashtags, as centralidades de grau e de intermediação e o índice incidência-fidelidade; e o estudo de ilhas. As temáticas identificadas foram: 'Educação na pandemia'; 'Trabalho e pandemia'; 'Ciência, saúde e pandemia'; 'Isolamento social na pandemia'; e 'Política e pandemia'. Por meio desse modelo, foi possível identificar as temáticas mais relevantes sobre a covid-19 para os usuários do Facebook.

Social media are important channels for the dissemination of information on public health. The goal of this paper is to present a model of quantitative analysis of information from the hashtags with respect to covid-19 on Facebook, called CA-Hashtag semantic networks. This model consists of the methods of semantic network analysis and co-occurrence analysis.The metrics used from May 2020 to January 2021 were: hashtag's frequency, degree and betweenness centralities and incidence-fidelity index; and study of islands. The themes identified have been: 'Education in the pandemic'; 'Work and pandemic'; 'Science, health and pandemic'; 'Social isolation in the pandemic'; and 'Politics and pandemic'. Applying the proposed model, it has been possible to identify the most relevant themes about covid-19 for Facebook users.

Las redes sociales son canales importantes para la difusión de información sobre salud pública. El objetivo del artículo es presentar un modelo de análisis cuantitativo de información a partir de los contenidos de hashtags relacionadas con covid-19 en Facebook, llamado de AC-Redes semánticas de hashtags. Este modelo es compuesto por los métodos de análisis de redes semánticas y análisis de co-ocurrencia. Las métricas utilizadas desde mayo de 2020 hasta enero de 2021 han sido: la frecuencia de hashtags, las centralidades de grado e intermediación y el índice incidencia-fidelidad; e el estudio de islas. Los temas identificados han sido: 'Educación en la pandemia'; 'Trabajo y pandemia'; 'Ciencia, salud y pandemia'; 'Aislamiento social en la pandemia'; y 'Política y pandemia'. Con basis en el modelo propuesto, ha sido posible identificar los temas más relevantes sobre covid-19 para los usuarios de Facebook.

ANCORP: Procedimiento para la recuperación de información en sistemas de bibliotecas mediante grafos de conocimiento / ANCORP: Procedure for information retrieval in library systems using knowledge graphs

Las bibliotecas y los centros de documentación carecen de una guía metodológica para transformar sus datos RDF en grafos de conocimiento, lo que impide que puedan aprovechar las facilidades de esta herramienta en la búsqueda y recuperación de información. El artículo propone una metodología para la transformación de datos bibliográficos en grafos de conocimiento. Se presenta ANCORP, a partir del análisis de las técnicas de incrustación, limpieza y chequeo de grafos de conocimiento. Esta metodología se divide en dos partes: la parte 1, dedicada a la construcción del grafo de conocimiento, y la parte 2, dedicada a resolver los procesos de recuperación de información. Con la implementación de la metodología se corroboran saltos cualitativos en la recuperación de información y en la calidad de los datos(AU)

Libraries and documentation centers haven't a methodology guide to transform their RDF data into knowledge graphs, which prevents them from taking advantage of the facilities of this tool in the search and retrieval of information. This methodology was proposed for the transformation of bibliographic data in knowledge graphs. ANCORP was presented from the analysis of the techniques of incrustation, cleaning and checking of knowledge graphs. This methodology was divided into two parts: part I dedicated to the construction of the knowledge graph, and part II dedicated to solving the processes of information retrieval. With the implementation of the methodology, qualitative leaps in the information retrieval and in the quality of the data are corroborated(AU)

Taxonomías digitales: fundamentos teóricos y metodología de construcción / Digital taxonomies: theoretical fundamentals and construction methodology

Resumen El artículo analiza las taxonomías digitales desde la perspectiva bibliotecológica. Su objetivo fue construir una taxonomía digital del área de conocimiento "Sistema solar" que pudiera ser implementada como sistema de acceso temático jerárquico-visual para un conjunto de recursos de información digitales albergados en un sitio web. La metodología empleada en la construcción de la taxonomía consistió en una propuesta particular que se nutre de dos metodologías relevantes sobre el tema. Se encontró que las taxonomías son un Sistema para la Organización del Conocimiento (SOC) que, debido a su potencial representador y organizador, han migrado al espacio de los Sistemas para la Organización del conocimiento en Red (SOCR) cuyas funciones en la web están asociadas, entre muchas aplicaciones, a la indización y clasificación de recursos de información. Se concluye que el conocimiento teórico y aplicado de las taxonomías digitales es prioritario para los profesionales de la información que día a día se enfrentan a más retos relacionados con el ordenamiento de recursos de información insertos en la World Wide Web.

Abstract The article analyzes digital taxonomies from the librarianship perspective. Its objective was to build a digital taxonomy about "Solar System" knowledge area that can be implemented as hierarchical-visual subject access system for a set of digital information resources stored in a website. The methodology used to build the taxonomy was a proposal based on two relevant methodologies about the topic. It was found that taxonomies are a Knowledge Organization Systems (KOS) that, due to its representational and organizer potential, have migrated to the space of Networked Knowledge Organization Systems (NKOS), whose tasks on the web are associated, among many applications, to the indexing and classification of information resources. It is concluded that the theoretical and applied knowledge of digital taxonomies is a priority for information professionals who every day deals with challenges related to the organization of information sources inserted in the World Wide Web.

Preferencias del usuario, categorización de consultas y documentos, tres variables importantes en el cálculo de relevancia / User preferences, query and document categorization, three important variables in relevance calculation

The quality of an information retrieval system depends largely on the satisfaction degree of users with the results obtained when executing a query, so it is essential to design processes that store the preferences patterns of each of them and vary the way in which the results are shown taking into account the specific characteristics of each user. The objective of this article was to present an algorithm for calculating the relevance of the documents provided to users, which used the variables: the user's search profile, the category of the documents and the category of the query as parameters, to customize the results provided by the search engine to the users. In addition, it used as impulse factors the degree of predominance of a search category in the user's profile and the categories to which the document belongs. To validate the algorithm, precision and recall metrics were applied to check that the results obtained are relevant to users(AU)

La calidad de un sistema de recuperación de información depende en gran medida del grado de satisfacción de los usuarios en cuanto a los resultados obtenidos al realizar una consulta. Para obtener resultados de búsquedas relevantes es esencial diseñar procesos que almacenen los patrones de preferencias de cada usuario. Este estudio tuvo como objetivo presentar un algoritmo para el cálculo de la relevancia de los documentos brindados. El algoritmo utilizó como parámetros las siguientes variables: perfil de búsqueda del usuario, categoría de los documentos y categoría de la consulta para personalizar los resultados brindados mediante el motor de búsqueda. Además, utilizó como factores de impulso el grado de predominio de una categoría de búsqueda en el perfil del usuario y en las categorías a las que pertenece el documento. Para la validación del modelo se aplicaron las métricas de precisión y exhaustividad que permitieron comprobar que los resultados obtenidos son relevantes para los consumidores de la información(AU)

Los metadatos, la búsqueda y recuperación de información desde las Ciencias de la Información / Metadata, search and information retrieval from the Information Science

Resumen El desarrollo de la informática y las Tecnologías de la Información y de la Comunicación (TIC) han transformado de manera preponderante el crecimiento y el acceso a la información, así como las maneras de concebir y realizar la búsqueda y recuperación de la información en la Internet acorde al nuevo contexto. Dicho proceso ha dejado de ser unidireccional y el usuario se ha convertido en ente participativo en la dinámica del proceso, introduciendo un modelo cognitivo y superando el tradicional; de manera que, el presente trabajo analiza los presupuestos teóricos-metodológicos entorno a la representación de la necesidad de información como elemento que define el resultado de una estrategia de búsqueda. Para ello, se adentra en el análisis de diferentes enfoques presentes en la interacción usuario máquina durante la búsqueda y la recuperación de la información. En este sentido, se reconocen los aportes de otras disciplinas que contribuyen a encontrar soluciones para optimizar la recuperación de información en la Internet. Con este empeño se propone el uso de metadatos para lograr una mejor comunicación e interpretación por parte de los Sistemas de Recuperación de Información de los distintos puntos de vista de un usuario determinado.

Abstract Computing, and information and communication technology development has preponderantly transformed the growth and access to information, as well as the ways of conceiving and performing search and retrieval of information on Internet in accordance with the new context. This process has ceased to be unidirectional and the user has become a participative entity in dynamics of the process introducing a cognitive model and surpassing traditional one. Therefore, this paper aims to analyze theoretical-methodological assumptions around the representation of the need for information as an element that defines the result of a search strategy. In order to do this, it delves into the analysis of different approaches present in the user-machine interaction during search and retrieval of information. In this sense, the contributions of other disciplines that contribute to finding solutions to optimize the retrieval of information on the Internet are recognized. With this effort, the use of metadata is proposed to achieve better communication and interpretation by the Information Retrieval Systems of the different points of view of a given user.

Discussion on Teaching Plan of Literature Information Retrieval of Traditional Chinese Medicine Based on Scientific Research Integration / 医学信息学杂志

On the basis of reviewing the significance of retrieval teaching and scientific research integration and the research situation at home and abroad,the paper proposes the undergraduate teaching optimization plan of literature information retrieval of Traditional Chinese Medicine (TCM) teaching integrated with scientific research,points out that the teaching design should focus on the cultivation of scientific research ability,the teaching process advocates the efficient and rich communication form based on the students,and the course assessment should establish multi-dimensional evaluation system.

MOOC-based flipped classroom teaching model for Chinese Medical literature information retrieval course / 中华医学图书情报杂志

After the basic contents of MOOC and flipped classroom were introduced, MOOC-based flipped classroom teaching model for Chinese medical literature information retrieval course was described, its design and implementation were elaborated with CBM Database as an example.

Knowledge Discovery-oriented Biomedical Literature Information Retrieval and Visualization Design / 医学信息学杂志

The paper discusses influence and effect of information retrieval process of biomedical literature and visualization design on user knowledge discovery,from the aspects of input and output,retieval process and information positioning,it introduces the interaction model of literature information retrieval process and analyzes approach of literature information visualization design,including color and font,statistical chart,list of categories and labels,layer structure and network pictures,etc.

Question Answering System Based on the Big Data of Electronic Medical Records (EMR) / 医学信息学杂志

Based on the big data of Electronic Medical Records (EMR),information retrieval and the deep learning method,an auxiliary diagnosis Question Answering (QA) system is designed.The paper introduces the design of general framework,EMR database,value network and policy-based network of the system,provides the system operation process.This system can not only help patients to examine their conditions independently,but also provide reference for doctors when they make the diagnosis and treatment schemes.

Researcher and Author Profiles: Opportunities, Advantages, and Limitations

Currently available online profiling platforms offer various services for researchers and authors. Opening an individual account and filling it with scholarly contents increase visibility of research output and boost its impact. This article overviews some of the widely used and emerging profiling platforms, highlighting their tools for sharing scholarly items, crediting individuals, and facilitating networking. Global bibliographic databases and search platforms, such as Scopus, Web of Science, PubMed, and Google Scholar, are widely used for profiling authors with indexed publications. Scholarly networking websites, such as ResearchGate and Academia.edu, provide indispensable services for researchers poorly visible elsewhere on the Internet. Several specialized platforms are designed to offer profiling along with their main functionalities, such as reference management and archiving. The Open Researcher and Contributor Identification (ORCID) project has offered a solution to the author name disambiguation. It has been integrated with numerous bibliographic databases, platforms, and manuscript submission systems to help research managers and journal editors select and credit the best reviewers, and other scholarly contributors. Individuals with verifiable reviewer and editorial accomplishments are also covered by Publons, which is an increasingly recognized service for publicizing and awarding reviewer comments. Currently available profiling formats have numerous advantages and some limitations. The advantages are related to their openness and chances of boosting the researcher impact. Some of the profiling websites are complementary to each other. The underutilization of various profiling websites and their inappropriate uses for promotion of ‘predatory’ journals are among reported limitations. A combined approach to the profiling systems is advocated in this article.

Plagiarism in the Context of Education and Evolving Detection Strategies

Plagiarism may take place in any scientific journals despite currently employed anti-plagiarism tools. The absence of widely acceptable definitions of research misconduct and reliance solely on similarity checks do not allow journal editors to prevent most complex cases of recycling of scientific information and wasteful, or ‘predatory,’ publishing. This article analyses Scopus-based publication activity and evidence on poor writing, lack of related training, emerging anti-plagiarism strategies, and new forms of massive wasting of resources by publishing largely recycled items, which evade the ‘red flags’ of similarity checks. In some non-Anglophone countries ‘copy-and-paste’ writing still plagues pre- and postgraduate education. Poor research management, absence of courses on publication ethics, and limited access to quality sources confound plagiarism as a cross-cultural and multidisciplinary phenomenon. Over the past decade, the advent of anti-plagiarism software checks has helped uncover elementary forms of textual recycling across journals. But such a tool alone proves inefficient for preventing complex forms of plagiarism. Recent mass retractions of plagiarized articles by reputable open-access journals point to critical deficiencies of current anti-plagiarism software that do not recognize manipulative paraphrasing and editing. Manipulative editing also finds its way to predatory journals, ignoring the adherence to publication ethics and accommodating nonsense plagiarized items. The evolving preventive strategies are increasingly relying on intelligent (semantic) digital technologies, comprehensively evaluating texts, keywords, graphics, and reference lists. It is the right time to enforce adherence to global editorial guidance and implement a comprehensive anti-plagiarism strategy by helping all stakeholders of scholarly communication.

Marco procedimental para facilitar la interoperabilidad en el contexto de la Biblioteca Virtual en Salud de Cuba: el modelo Ontomed / Procedural framework to facilitate interoperability in the context of the Virtual Health Library of Cuba: the Ontomed model

La inexistencia de un modelo de datos enlazados en el contexto de la Biblioteca Virtual en Salud de Cuba (BVS) provoca deficiencias en la interoperabilidad semántica de los contenidos y la recuperación de información. Además, y como problema añadido, las entidades documentales que lo componen presentan distintos niveles de descripción bibliográfica y de alcance temático. El presente artículo propone el diseño de un marco procedimental para facilitar la interoperabilidad semántica entre conjuntos de datos enlazados de la BVS, y estandarizar sus principales clases y propiedades. Este procedimiento, que se implementa en el modelo ontológico denominado Ontomed, constituye una aproximación teórico-conceptual que permitirá modelar las principales entidades, atributos y relaciones en el contexto de la BVS. Se espera un impacto directo en tres dimensiones fundamentales: 1) caracterización del contexto de aplicación del marco procedimental 2) formalización de los componentes del modelo ontológico y 3) selección de una muestra experimental en el escenario de la BVS.

The absence of a linked data model in the context of the Virtual Health Library of Cuba (VHL) causes deficiencies in the semantic interoperability of content and information retrieval. In addition, as added problem, the documentary component entities have different levels of bibliographic description and subject scope. This article proposes the design of a procedural framework to facilitate semantic interoperability between linked datasets of VHL, standardizing their core classes and properties. Such a procedure, implemented in the ontological model called Ontomed, is a theoretical and conceptual approach that allows modeling the main entities, attributes and relationships in the context of the VHL. A direct impact will expect on three key dimensions: 1) characterization of context implementing the procedural framework 2) formalization of the components of the ontological model and 3) selecting an experimental sample on the stage of the VHL.

PICOS model-based case teaching of medical information retrieval curium / 中华医学图书情报杂志

PICOS model-based case teaching of medical information retrieval curium is of benefit to stimulate the EBM thinking of students. The necessity of PICOS model-based case teaching of medical information retrieval curi-um was thus described, with its design, case analysis, retrieval methods, applicability and implementation studied and illustrated by examples.

Teaching-oriented traditional model and problems-oriented PBL model of information literacy education in medical students / 中华医学图书情报杂志

After a description of the combined teaching-oriented and learning-oriented teaching model of medical information retrieval course, the results it achieved were investigated with questionnaires and its advantages were summarized from the aspects of national conditions, information literacy training and medical education.

Implementation of flipped classroom in teaching information retrieval course of TCM / 中华医学图书情报杂志

The flipped classroom teaching model plays an important role in promoting the teaching work and improving the teaching level. Its design, implementation steps, results assessment and existed problems were thus analyzed with suggestions proposed for its further improvement in this paper.

Proposta de elaboração de um tesauro Espírita / Proposal preparation of a Spiritualist thesaurus

Um dos desafios do bibliotecário que venha a trabalhar em centros espíritas é a falta de instrumentos que o ajudem a desenvolver seu trabalho de forma padronizada, pois faltam ferramentas de controle terminológico adequado para a indexação. Diante dessa lacuna, essa pesquisa se propõe a desenvolver um modelo teórico para desenvolvimento de um tesauro espírita que atenda bibliotecas de centros espíritas respeitando os aspectos filosóficos, científicos e doutrinários do espiritismo. Para compor a parte teórica desse trabalho foi realizado um breve levantamento bibliográfico sobre a história do espiritismo para mostrar a evolução que resultou na construção de sua terminologia e, após isso, foi feito o levantamento histórico sobre o surgimento das normas do tesauro e sua evolução histórica. Finalizando-se as etapas de elaboração da proposta foram extraídas 19 categorias com 73 subtermos e 86 termos relacionados das obras de Kardec, acredita-se que esses termos possam atender as necessidades de tratamento técnico do profissional bibliotecário que trabalha no tratamento e organização da informação, garantindo uma indexação que propicie qualidade na recuperação da informação.

One of the challenges of the librarian who will work in spiritualist centers is the lack of tools to help you develop your work in a standardized way, for lack of appropriate tools terminological control for indexing. Given this gap, this research aims to develop a theoretical model for the development of a spiritualist thesaurus that meets spiritualist centers libraries respecting the philosophical, scientific and doctrinal spiritualism. To compose the theoretical part of this work was carried out a brief literature on the history of spiritualism to show the evolution that resulted in the construction of its terminology, and after it was made the historical survey on the emergence of the thesaurus standards and its historical evolution . Finishing up the development stages of the proposal are from 19 categories with 73 subterms and 86 terms related works of Kardec, it is believed that these terms can meet the technical treatment needs of librarians working in the treatment and organization of information, ensuring an index that provides quality in information retrieval.

Specialist Bibliographic Databases

Specialist bibliographic databases offer essential online tools for researchers and authors who work on specific subjects and perform comprehensive and systematic syntheses of evidence. This article presents examples of the established specialist databases, which may be of interest to those engaged in multidisciplinary science communication. Access to most specialist databases is through subscription schemes and membership in professional associations. Several aggregators of information and database vendors, such as EBSCOhost and ProQuest, facilitate advanced searches supported by specialist keyword thesauri. Searches of items through specialist databases are complementary to those through multidisciplinary research platforms, such as PubMed, Web of Science, and Google Scholar. Familiarizing with the functional characteristics of biomedical and nonbiomedical bibliographic search tools is mandatory for researchers, authors, editors, and publishers. The database users are offered updates of the indexed journal lists, abstracts, author profiles, and links to other metadata. Editors and publishers may find particularly useful source selection criteria and apply for coverage of their peer-reviewed journals and grey literature sources. These criteria are aimed at accepting relevant sources with established editorial policies and quality controls.

Teaching information retrieval course in two phases for students of 8-year clinical medicine / 中华医学图书情报杂志

Teaching information retrieval course in two phases for students of 8-year clinical medicine was de-scribed in aspects of its contents, organization, teaching material construction and examination methods.Its results were analyzed according to the written examination score, report on a special topic, group report and feedback of students.Measures were put forward for further improving the classroom teaching results, namely effective linking of teaching contents, careful section of retrieval topics, selection and training of teachers.

Teaching model of information retrieval microcourse against the background of MOOC / 中华医学图书情报杂志

The gradually matured MOOC technology and its platform will promote a new round of teaching reform and innovation of information retrieval microcourse .The teaching model of information retrieval microcourse against the background of MOOC and its implementation were described with the practical teaching model of information re-trieval microcourse in Shihezi University as an example .Its problems were summarized with suggestions put forward for their solution .

A fresh understanding of the academic mission for information retrieval course / 中华医学图书情报杂志

It is necessary to refresh our understanding of the academic mission for information retrieval course in the network information era.The correlation between scientific achievements and scientific information and between scientific literacy and information literacy revealed the fact that information retrieval capability is the core of information literacy when the information retrieval course is placed a broader academic background.The connotation of information retrieval was elaborated, which further demonstrates that the academic mission for information retrieval course is to train the information wisdom of undergraduates.