El lenguaje de la interrogación: una gramática formal para la recuperación de la información

El conocimiento del lenguaje de interrogación es una herramienta imprescindible para la recuperación de información. En este artículo se ofrece una gramática formal (sintaxis y semántica) para ese tipo de lenguaje. Esta gramática nos permite, por un lado, conocer el lenguaje de interrogación desde un plano sistemático y conceptual y, por otro lado, nos permite obtener ciertos beneficios prácticos de tipo sintáctico y de tipo semántico relacionados con los procesos de recuperación de información.

Anàlisi del cercador múltiple Copernic 2001 Pro

Podeu consultar la versió en castellà a http://hdl.handle.net/2445/8965

Análisis del buscador múltiple Copernic 2001 Pro

Podeu consultar la versió en català a http://hdl.handle.net/2445/8964

Semantic domains and supersens tagging for domain-specific ontology learning

In this paper we propose a novel unsupervised approach to learning domain-specific ontologies from large open-domain text collections. The method is based on the joint exploitation of Semantic Domains and Super Sense Tagging for Information Retrieval tasks. Our approach is able to retrieve domain specific terms and concepts while associating them with a set of high level ontological types, named supersenses, providing flat ontologies characterized by very high accuracy and pertinence to the domain.

Malaria chemoprophylaxis: what do the travelers choose, and how does pretravel consultation influence their final decision.

Three different drugs (mefloquine, atovaquone/proguanil, doxycycline) are recommended for malaria chemoprophylaxis, each with approximately the same efficacy but various adverse event profiles, regimens, and prices. We investigated which medication the travelers would have chosen on the basis of written evidence-based information and the impact that pretravel consultation had on their decision. A prospective study was performed in a travel clinic and private practice, and 1073 travelers were included; 45% chose mefloquine (Lariam or Mephaquine), 21% atovaquone/proguanil (Malarone), 18% doxycycline (Supracycline), 5% "no prophylaxis," and 11% "do not know." Lariam was principally chosen because of prior experience (38%), Mephaquine because of low price (34%), and doxycycline and Malarone because of the profile of adverse events (55% and 43%, respectively). Based on objective written information, travelers most frequently chose mefloquine for chemoprophylaxis. This suggests that evidence-based information weighs more heavily than negative publicity. Taking into account the perspective of the user should improve appropriateness of the pretravel advice.

Novos paradigmas para avaliação da qualidade da informação em saúde recuperada na Web

A revolução nos paradigmas de produção do conhecimento e as implicações na qualidade de informação disponibilizadas na World Wide Web (Web) são analisadas. Apresentam-se as questões relacionadas com os critérios de avaliação da qualidade da informação em saúde recuperadas na Web, com ênfase naqueles definidos pela Agency for Health Care Policy and Research (AHCPR), do Health Information Technology Institute (Hiti). Destacam-se os estudos e as iniciativas internacionais desenvolvidas com o objetivo de avaliar, controlar a assegurar a qualidade da informação em saúde na Web e as propostas de instituições brasileiras quanto a esta questão.

Test result-based sampling: an efficient design for estimating the accuracy of patient safety indicators.

OBJECTIVE: Accuracy studies of Patient Safety Indicators (PSIs) are critical but limited by the large samples required due to low occurrence of most events. We tested a sampling design based on test results (verification-biased sampling [VBS]) that minimizes the number of subjects to be verified. METHODS: We considered 3 real PSIs, whose rates were calculated using 3 years of discharge data from a university hospital and a hypothetical screen of very rare events. Sample size estimates, based on the expected sensitivity and precision, were compared across 4 study designs: random and VBS, with and without constraints on the size of the population to be screened. RESULTS: Over sensitivities ranging from 0.3 to 0.7 and PSI prevalence levels ranging from 0.02 to 0.2, the optimal VBS strategy makes it possible to reduce sample size by up to 60% in comparison with simple random sampling. For PSI prevalence levels below 1%, the minimal sample size required was still over 5000. CONCLUSIONS: Verification-biased sampling permits substantial savings in the required sample size for PSI validation studies. However, sample sizes still need to be very large for many of the rarer PSIs.

Proposta i implementació d'un motor de recuperació d'informació especialitzat en dret d'estrangeria (Codex)

CODEX SEARCH és un motor de recuperació d'informació especialitzat en dret d'estrangeria que està basat en eines i coneixement lingüístics. Per a desenvolupar un SRI (sistema de recuperació d'informació) eficient en el domini indicat no n'hi ha prou amb emprar un model tradicional de RI (recuperació d'informació), és a dir, comparar els termes de la pregunta amb els de la resposta, bàsicament perquè no expressen implicacions. En aquest sentit, la solució lingüística proposada es basa a incorporar el coneixement dels especialistes mitjançant la integració en el sistema d'una llibreria de casos. Els casos són exemples de procediments aplicats per experts/ertes en la solució de problemes que han ocorregut en la realitat i que han acabat en èxit o fracàs. Els resultats obtinguts en aquesta primera fase són molt encoratjadors, però és necessari continuar la investigació en aquest camp per millorar el rendiment del prototip.

Addressing non-communicable diseases in the Seychelles: towards a comprehensive plan of action.

This article reviews the different steps taken during the past 20 years for the prevention and control of non-communicable diseases (NCDs) in the Seychelles. National surveys revealed high levels of several cardiovascular risk factors and prompted an organized response, starting with the creation of an NCD unit in the Ministry of Health. Information campaigns and nationwide activities raised awareness and rallied increasingly broad and high-level support. Significant policy was developed including comprehensive tobacco legislation and a School Nutrition Policy that bans soft drinks in schools. NCD guidelines were developed and specialized 'NCD nurses' were trained to complement doctors in district health centers. Decreasing smoking prevalence is evidence of success, but the raising so-called diabesity epidemic calls for an integrated multi-sector policy to mould an environment conducive to healthy behaviors. Essential components of these efforts include: effective surveillance mechanisms supplemented by focused research; generating broad interest and consensus; mobilizing leadership and commitment at all levels; involving local and international expertise; building on existing efforts; and seeking integrated, multi-disciplinary and multi-sector approaches.

Application of text-mining for updating protein post-translational modification annotation in UniProtKB.

BACKGROUND: The annotation of protein post-translational modifications (PTMs) is an important task of UniProtKB curators and, with continuing improvements in experimental methodology, an ever greater number of articles are being published on this topic. To help curators cope with this growing body of information we have developed a system which extracts information from the scientific literature for the most frequently annotated PTMs in UniProtKB. RESULTS: The procedure uses a pattern-matching and rule-based approach to extract sentences with information on the type and site of modification. A ranked list of protein candidates for the modification is also provided. For PTM extraction, precision varies from 57% to 94%, and recall from 75% to 95%, according to the type of modification. The procedure was used to track new publications on PTMs and to recover potential supporting evidence for phosphorylation sites annotated based on the results of large scale proteomics experiments. CONCLUSIONS: The information retrieval and extraction method we have developed in this study forms the basis of a simple tool for the manual curation of protein post-translational modifications in UniProtKB/Swiss-Prot. Our work demonstrates that even simple text-mining tools can be effectively adapted for database curation tasks, providing that a thorough understanding of the working process and requirements are first obtained. This system can be accessed at http://eagl.unige.ch/PTM/.

The EU-ADR Web Platform: delivering advanced pharmacovigilance tools

PURPOSE: Pharmacovigilance methods have advanced greatly during the last decades, making post-market drug assessment an essential drug evaluation component. These methods mainly rely on the use of spontaneous reporting systems and health information databases to collect expertise from huge amounts of real-world reports. The EU-ADR Web Platform was built to further facilitate accessing, monitoring and exploring these data, enabling an in-depth analysis of adverse drug reactions risks.METHODS: The EU-ADR Web Platform exploits the wealth of data collected within a large-scale European initiative, the EU-ADR project. Millions of electronic health records, provided by national health agencies, are mined for specific drug events, which are correlated with literature, protein and pathway data, resulting in a rich drug-event dataset. Next, advanced distributed computing methods are tailored to coordinate the execution of data-mining and statistical analysis tasks. This permits obtaining a ranked drug-event list, removing spurious entries and highlighting relationships with high risk potential.RESULTS: The EU-ADR Web Platform is an open workspace for the integrated analysis of pharmacovigilance datasets. Using this software, researchers can access a variety of tools provided by distinct partners in a single centralized environment. Besides performing standalone drug-event assessments, they can also control the pipeline for an improved batch analysis of custom datasets. Drug-event pairs can be substantiated and statistically analysed within the platform's innovative working environment.CONCLUSIONS: A pioneering workspace that helps in explaining the biological path of adverse drug reactions was developed within the EU-ADR project consortium. This tool, targeted at the pharmacovigilance community, is available online at https://bioinformatics.ua.pt/euadr/. Copyright © 2012 John Wiley & Sons, Ltd.

WordNet:n hyödyntäminen tiedonhaussa

Summary: Using WordNet in information retrieval

Textual autocorrelation : formalism and illustrations

Abstract Textual autocorrelation is a broad and pervasive concept, referring to the similarity between nearby textual units: lexical repetitions along consecutive sentences, semantic association between neighbouring lexemes, persistence of discourse types (narrative, descriptive, dialogal...) and so on. Textual autocorrelation can also be negative, as illustrated by alternating phonological or morpho-syntactic categories, or the succession of word lengths. This contribution proposes a general Markov formalism for textual navigation, and inspired by spatial statistics. The formalism can express well-known constructs in textual data analysis, such as term-document matrices, references and hyperlinks navigation, (web) information retrieval, and in particular textual autocorrelation, as measured by Moran's I relatively to the exchange matrix associated to neighbourhoods of various possible types. Four case studies (word lengths alternation, lexical repulsion, parts of speech autocorrelation, and semantic autocorrelation) illustrate the theory. In particular, one observes a short-range repulsion between nouns together with a short-range attraction between verbs, both at the lexical and semantic levels. Résumé: Le concept d'autocorrélation textuelle, fort vaste, réfère à la similarité entre unités textuelles voisines: répétitions lexicales entre phrases successives, association sémantique entre lexèmes voisins, persistance du type de discours (narratif, descriptif, dialogal...) et ainsi de suite. L'autocorrélation textuelle peut être également négative, comme l'illustrent l'alternance entre les catégories phonologiques ou morpho-syntaxiques, ou la succession des longueurs de mots. Cette contribution propose un formalisme markovien général pour la navigation textuelle, inspiré par la statistique spatiale. Le formalisme est capable d'exprimer des constructions bien connues en analyse des données textuelles, telles que les matrices termes-documents, les références et la navigation par hyperliens, la recherche documentaire sur internet, et, en particulier, l'autocorélation textuelle, telle que mesurée par le I de Moran relatif à une matrice d'échange associée à des voisinages de différents types possibles. Quatre cas d'étude illustrent la théorie: alternance des longueurs de mots, répulsion lexicale, autocorrélation des catégories morpho-syntaxiques et autocorrélation sémantique. On observe en particulier une répulsion à courte portée entre les noms, ainsi qu'une attraction à courte portée entre les verbes, tant au niveau lexical que sémantique.