Catálogo de publicaciones - revistas

<jats:p> Search filters are increasingly used to search medical databases to identify specific topics or study designs. In particular, search filters have been designed to help health-care professionals identify systematic reviews of the effectiveness of health interventions. Identifying systematic reviews in databases such as MEDLINE is problematic and research has previously been undertaken into methods to design search filters that retrieve systematic reviews effectively. The aim of this study was to improve previously developed methods to derive a more objective search strategy to identify systematic reviews in MEDLINE. A ‘quasi-gold standard’ collection of known systematic reviews was identified. A frequency analysis of words within a subset of the ‘quasi-gold standard’ was undertaken followed by a statistical analysis of the most frequently occurring words. This analysis determined which terms would best distinguish between systematic reviews, non-systematic reviews and non-reviews. The performance of the best models was tested on the remaining subset of ‘quasi-gold standard’ records and then using the OVID interface to MEDLINE. The best model had a sensitivity of 73.4% for systematic reviews in the test set and 84.2% when used with the validation set. The best model had a specificity of 98.3% in the test set and 93% in the validation set. When tested on the same ‘quasi-gold standard’ using OVID MED-LINE the model showed 100% sensitivity and 4.4% precision. The number of times a term occurs in a record adds discriminatory power to the search strategy. Apparently highly relevant terms chosen subjectively do not perform as well as those derived by a statistical approach. Some search terms may not immediately seem useful in identifying systematic reviews, but when used in combination with other terms they prove to be highly discriminating. The best performing filters were tested on the OVID interface, but without frequency and term weightings. Their performance was also compared to previously published filters. One of the strategies was found to perform better with respect to sensitivity than previously published filters, although with lower precision. </jats:p>

<jats:p> Economists consider information a paradoxical good of uncertain value. This experimental study compares the valuation of economic information to the valuation of material goods when subjects possess perfect information so that uncertainty about the outcome of the transaction is eliminated. It also aims to study the participants' justifications of their valuations, in order to examine the underlying cognitive processes. The main hypotheses were that: (a) even if subjects deal with perfect information they will underestimate its value compared to the value of material goods; (b) underestimation of the value of information will be greater in conditions of high involvement, that is when expected payoff and therefore investment and risk are high; and (c) expert information will be valued more highly than non-expert information, since it should be regarded as more reliable. In the main study, two groups of students in the same university were asked to value and justify their valuation of material goods, under conditions of certain low (1000) and high (100,000) payoffs, respectively. Two other groups were asked to value and to justify their valuation of non-expert information under the same conditions of profit. Finally, two more groups of students were asked to value and justify their valuation of expert information, again under conditions of low or high expected profit. The findings of the study show that under all conditions subjects underestimate the value of information both absolutely and relatively in comparison to material goods, especially under conditions of high involvement. The participants' justifications of their own valuations are heuristics which seem to take into account the uncertain character of informational goods. </jats:p>

<jats:p> From the vantage point of user studies and information literacy studies, an empirical case-study has been carried out (at the Universitat Jaume I, Castellón, Spain) in order to establish a diagnosis of the information behaviour of translation students. It is hoped that this study will serve as a basis for the design and subsequent implementation of programmes of instruction (within the paradigm of information literacy) specific to this interdisciplinary field. The study is located within the qualitative paradigm (using techniques including expert panel and semi-structured questionnaires to obtain direct data from the student body). Also employed are quantitative techniques for the descriptive statistical treatment of the data collected via the questionnaire, but at all events the perspective of the analysis is qualitative. All in all, a positive evolution is identified within the student group (from first to second cycle) as regards the successful acquisition of information skills. The study highlights the progress registered by the translation students in their information competence and the resultant conceptualization: a development from knowledge towards strategy and lifelong learning. </jats:p>

<jats:p> This article presents a brief history of the development of ideas about national and organizational information policies, from the first establishment of a UK Ministry of Information in the First World War to the present day. The issues and tensions that have characterized attempts to develop and implement policies on the national and organizational scale are discussed, with particular reference to: the power relations between the parties to them; the relative significance accorded to information technology and information content; the transition from formulating policy to acting on it; and the threats to the survival of those policies that get as far as implementation. In conclusion, the contribution to date of information science to the theory and practice of information policies is assessed, and suggestions are offered on directions for future efforts, in the light of the past of this interesting field. </jats:p>

<jats:p> An archaeological site is a palimpsest in which the evidence of the depositional episodes is destroyed through the excavation processes; all that remains are the artefacts and their documentary evidence manifested in registers, datasets, dig diaries and reports. While the reports may represent the end product of a specific excavation, the archaeological record tells a story; it is interpretative and dynamic, with later excavations adding new knowledge and narratives. Museums preserve the artefacts but unless the documentary evidence is preserved in standard formats, it cannot be easily re-used by the archaeology community to create that knowledge; nor can museums provide the narratives for the general public whose cultural heritage it is. This article presents a case study from the Ness of Brodgar excavations that examines possibilities for reconciling one part of the data of an archaeological dig, the small finds register (SFR) and its sparse amount of descriptive metadata, with the potentiality of data re-use and with the requirements of a museum that may have custody of the artefacts. It maps and enriches messy domain-specific ontologies to standard archaeological and cultural heritage ontologies and taxonomies using simple natural language processing, linked open data and the museum CIDOC conceptual reference model (CRM). This research, in examining the application of ontology mapping tools, explores common practices and processes that are useful in any discipline within the cultural heritage domain. </jats:p>

<jats:p> Interdisciplinary studies are becoming increasingly popular, and research domains of many experts are becoming diverse. This phenomenon brings difficulty in recommending experts to review interdisciplinary submissions. In this study, an Author–Subject–Topic (AST) model is proposed with two versions. In the model, reviewers’ subject information is embedded to analyse topic distributions of submissions and reviewers’ publications. The major difference between the AST and Author–Topic models lies in the introduction of a ‘Subject’ layer, which supervises the generation of hierarchical topics and allows sharing of subjects among authors. To evaluate the performance of the AST model, papers in Information System and Management (a typical interdisciplinary domain) in a famous Chinese academic library are investigated. Comparative experiments are conducted, which show the effectiveness of the AST model in topic distribution analysis and reviewer recommendation for interdisciplinary studies. </jats:p>

<jats:p> Cultural heritage institutions have recently begun to consider the benefits of sharing their collections using linked open data to disseminate and enrich their metadata. As datasets become very large, challenges appear, such as ingestion, management, querying and enrichment. Furthermore, each institution has particular features related to important aspects such as vocabularies and interoperability, which make it difficult to generalise this process and provide one-for-all solutions. In order to improve the user experience as regards information retrieval systems, researchers have identified that further refinements are required for the recognition and extraction of implicit relationships expressed in natural language. We introduce a framework for the enrichment and disambiguation of locations in text using open knowledge bases such as Wikidata and GeoNames. The framework has been successfully used to publish a dataset based on information from the Biblioteca Virtual Miguel de Cervantes, thus illustrating how semantic enrichment can help information retrieval. The methods applied in order to automate the enrichment process, which build upon open source software components, are described herein. </jats:p>

<jats:p> Systematic literature reviews (SLRs) adopt a specified and transparent approach in order to scope the literature in a field or sub-field. However, there has been little critical comment on their purpose and processes in practice. By undertaking an overview of SLRs in the field of social media (SM) marketing, this article undertakes a critical evaluation of the SLR purposes and processes in a set of recent SLRs and presents a future research agenda for social media marketing. The overview shows that the purposes of SLRs include the following: making sense (of research in a field), developing a concept matrix/taxonomy and supporting research and practice. On SLR processes, while there is some consensus on the stages of the process, there is considerable variation in how these processes are executed. This article offers a resource to inform practice and acts as a platform for further critical debate regarding the nature and value of SLRs. </jats:p>

<jats:p> We present semantics-based mechanisms that aim to promote reflection on cultural heritage by means of dates (historical events or annual commemorations), owing to their connections to a collection of items and to the visitors’ interests. We argue that links to specific dates can trigger curiosity, increase retention and guide visitors around the venue following new appealing narratives in subsequent visits. The proposal has been evaluated in a pilot study on the collection of the Archaeological Museum of Tripoli (Greece), for which a team of humanities experts wrote a set of diverse narratives about the exhibits. A year-round calendar was crafted so that certain narratives would be more or less relevant on any given day. Expanding on this calendar, personalised recommendations can be made by sorting out those relevant narratives according to personal events and interests recorded in the profiles of the target users. Evaluation of the associations by experts and potential museum visitors shows that the proposed approach can discover meaningful connections, while many others that are more incidental can still contribute to the intended cognitive phenomena. </jats:p>