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Access to public information (that generated by public institutions) is a right recognized by both European (Unión Europea, 2001) and Spanish legislation (España, 1992; 1997; 2013). The bodies of the Spanish State must to make available to the citizens, free of charge and in a transparent way, all the documents that they generate, unless there are national security reasons. Many national, regional and local governments have created information systems or public information platforms in the form of newsletters or gazettes. The purpose of this paper is to find out how is, on a documentary level, the main informative gazette of Spain, the Boletín oficial del Estado (BOE). The metadata of the published documents are studied and the metadata used for documentary description are analyzed in a deeper way. The results reflect the absence of documentary descriptors in more than 89% of the total documentary BOE' corpus. In recent years this figure has barely exceeded 50%. The paper ends with a few recommendations for improvement. [ABSTRACT FROM AUTHOR]

Currently, the software development industry presents challenges for processing business information, specifically that contained in textual documents. In the process of software requirements elicitation, a potential source of relevant information is business documents, since they can facilitate the knowledge understanding about a domain, as well as know the evolution of a product. Despite its usefulness, requirements engineers do not always use it for their work because of time and costs involved. In this paper this problem is addressed and it is recognized through a systematic literature review, the potentiality of using Natural Language Processing (NLP) techniques to extract relevant textual information from business documents, and the utility of its representation in conceptual models. Starting from this, a semiautomatic method of extracting information from business documents written in natural language in Spanish and its representation in a conceptual model is proposed. The method is supported in a reference methodological framework for Text Analytics projects, is based on NLP techniques, and the output is represented in a class diagram. The method was evaluated through a case study with software analysts in Medellin-Colombia, taking as input telecommunications resolution documents. The evaluation allows us to conclude that the model is a satisfactory approach to solving the problem, and some lines of work are identified to generalize a solution. [ABSTRACT FROM AUTHOR]

This paper presents an analysis of the publication of datasets collected via Google Dataset Search, specialized in families of RNA viruses, whose terminology was obtained from the National Cancer Institute (NCI) thesaurus developed by the US Department of Health and Human Services. The objective is to determine the scope and reuse capacity of the available data, determine the number of datasets and their free access, the proportion in reusable download formats, the main providers, their publication chronology, and to verify their scientific provenance. On the other hand, we also define possible relationships between the publication of datasets and the main pandemics that have occurred during the last 10 years. The results obtained highlight that only 52% of the datasets are related to scientific research, while an even smaller fraction (15%) are reusable. There is also an upward trend in the publication of datasets, especially related to the impact of the main epidemics, as clearly confirmed for the Ebola virus, Zika, SARS-CoV, H1N1, H1N5, and especially the SARS-CoV-2 coronavirus. Finally, it is observed that the search engine has not yet implemented adequate methods for filtering and monitoring the datasets. These results reveal some of the difficulties facing open science in the dataset field. [ABSTRACT FROM AUTHOR]

One of the most useful developments for modern historians is the digitization of the newspaper archives, since these ones are appreciated information sources between scholars that want to understand issues associated with politics, culture, and society. This fact is promoting an increasing digitalization of this kind of archives, causing the appearance of "new" challenges, due to the fact lack of text recognition technologies application to digitalized historical newspapers. It makes difficult application of technologies that allow an automatic processing and retrieving events related to daily life, such as meteorological events. Taking into account this scenario, this paper addresses these challenges for discovering how terminology was used in news related to meteorological events performed in the Latin-American society from the XIX-XX centuries. For that, we gather digitalized historical newspapers, which are available from websites, from National newspaper and periodicals libraries associated with Colombia, Ecuador, México and Uruguay. Once these newspapers have been collected, we carry out a corpus linguistics through a bibliomining process, performing technical readings and the application of technologies (QDA-MinerLite and R), which allows retrieving the terminology about meteorological events related to newspapers from different considered countries. [ABSTRACT FROM AUTHOR]

In last years, many organizations have been given the task of collecting geographic information, which can be used in different contexts for different purposes. Consequently, locating this information becomes a priority for users who need to access it. In this paper a recovery system that manipulates spatial relations between geographic objects is presented. This proposal introduces of novel way the spatial relations to determinate semantic similarity between concepts to solve geospatial queries combining textual and spatial aspects. Another important feature of this system is to present the results in a friendly way, allowing navigate the mapping provided by the system. The indexed information can be easily accessed by users and displayed in a clear and organized to support decision-making way. This tool can be used for both characterization and geospatial location of the soil, as for the management of agricultural soils in Cuba. [ABSTRACT FROM AUTHOR]

This paper presents the development of an information system using XML retrieval, as a tool to support the management of work orders in small and medium size enterprises (SME) from Cartagena to generate information to support decision making in the process outlined. The methodology used was the development of a structure of the general process of software engineering. The usefulness of the software was determined by the design, construction and implementation in the SME, validating its use through a usability test. This allowed measuring the level of acceptance of end users, thus saving costs in managing archived files and facilitating decision making. Based on the results it was possible to conclude that the process of work order management was improved by implementing the information system. [ABSTRACT FROM AUTHOR]