892 resultados para Information science


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Data management and sharing are relatively new concepts in the health and life sciences fields. This presentation will cover some basic policies as well as the impediments to data sharing unique to health and life sciences data.

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Data collected under federally funded research is subject to compliance rules and regulations. Policies affecting what you can and cannot do with your data, who is responsible, and what role your institution plays can vary with funding agencies and the type of data collected. This talk will address many of the compliance issues associated with research data, as well as funder mandates that you need to be aware of to ensure compliance.

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This paper investigates the current relationship between information management and information mediation along with the digital reference service through a case study which took place in an academic library. The concept of information mediation is herein analyzed, since a conceptual examination provides elements that will help people to comprehend and evaluate the concerned service. The information professional plays a very important role in the mediation aforementioned, which may be directly or indirectly; consciously or unconsciously; by himself/herself or plurally; individually or inserted into a group ? in all such manners that mediator facilitates the acquisition of information, fully or partially satisfying a user?s need of all sorts of knowledge. Meanwhile, we here approach information management from a scope that points out a description over performed activities concerned to policies and procedures put into effect until the service evaluation by proposing a criterion for such point. Finally, we outline a few actions to be implemented in long-term perspective, which goal is to continually ameliorate such assistance, taking in account the human factor

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This paper investigates the current relationship between information management and information mediation along with the digital reference service through a case study which took place in an academic library. The concept of information mediation is herein analyzed, since a conceptual examination provides elements that will help people to comprehend and evaluate the concerned service. The information professional plays a very important role in the mediation aforementioned, which may be directly or indirectly; consciously or unconsciously; by himself/herself or plurally; individually or inserted into a group ? in all such manners that mediator facilitates the acquisition of information, fully or partially satisfying a user?s need of all sorts of knowledge. Meanwhile, we here approach information management from a scope that points out a description over performed activities concerned to policies and procedures put into effect until the service evaluation by proposing a criterion for such point. Finally, we outline a few actions to be implemented in long-term perspective, which goal is to continually ameliorate such assistance, taking in account the human factor

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This paper investigates the current relationship between information management and information mediation along with the digital reference service through a case study which took place in an academic library. The concept of information mediation is herein analyzed, since a conceptual examination provides elements that will help people to comprehend and evaluate the concerned service. The information professional plays a very important role in the mediation aforementioned, which may be directly or indirectly; consciously or unconsciously; by himself/herself or plurally; individually or inserted into a group ? in all such manners that mediator facilitates the acquisition of information, fully or partially satisfying a user?s need of all sorts of knowledge. Meanwhile, we here approach information management from a scope that points out a description over performed activities concerned to policies and procedures put into effect until the service evaluation by proposing a criterion for such point. Finally, we outline a few actions to be implemented in long-term perspective, which goal is to continually ameliorate such assistance, taking in account the human factor

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We present two approaches to cluster dialogue-based information obtained by the speech understanding module and the dialogue manager of a spoken dialogue system. The purpose is to estimate a language model related to each cluster, and use them to dynamically modify the model of the speech recognizer at each dialogue turn. In the first approach we build the cluster tree using local decisions based on a Maximum Normalized Mutual Information criterion. In the second one we take global decisions, based on the optimization of the global perplexity of the combination of the cluster-related LMs. Our experiments show a relative reduction of the word error rate of 15.17%, which helps to improve the performance of the understanding and the dialogue manager modules.

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Academic libraries increasingly serve a more diverse population of users not only in regard to race and ethnicity, but also to age, gender, language, sexual orientation, and national and cultural backgrounds. This papers reports the findings of the study that explored information behaviour research as a potential source of information about diversity of academic library users and examined the relationship between the use of different research designs and data collection methods and the information gathered about users’ diverse backgrounds. The study found that information behaviour research offers limited insight into the diversity of academic library users. The choice of a research design was not critical but the use of multiple data collection played a role in gathering information about culturally diverse users.

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A librarian from the Florida Gulf Coast University (FGCU) and the Library Communications Manager at Taylor & Francis Group partnered to launch a collaborative information literacy pilot program focusing on assisting FGCU students and faculty navigate and understand the scholarly publishing process. This article describes how the idea was created, as well as steps involved in developing the publishing toolkit to help FGCU patrons. An overview of the pilot program was presented during the 2015 Charleston Conference as a poster session.

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This qualitative study focuses on what contributes to making a music information-seeking experience satisfying in the context of everyday life. Data were collected through in-depth interviews conducted with 15 younger adults (18 to 29 years old). The analysis revealed that satisfaction could depend on both hedonic (i.e., experiencing pleasure) and utilitarian outcomes. It was found that two types of utilitarian outcomes contributed to satisfaction: (1) the acquisition of music, and (2) the acquisition of information about music. Information about music was gathered to (1) enrich the listening experience, (2) increase one's music knowledge, and/or (3) optimize future acquisition. This study contributes to a better understanding of music information-seeking behavior in recreational contexts. It also has implications for music information retrieval systems design: results suggest that these systems should be engaging, include a wealth of extra-musical information, allow users to navigate among music items, and encourage serendipitous encountering of music.

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La recherche d'informations s'intéresse, entre autres, à répondre à des questions comme: est-ce qu'un document est pertinent à une requête ? Est-ce que deux requêtes ou deux documents sont similaires ? Comment la similarité entre deux requêtes ou documents peut être utilisée pour améliorer l'estimation de la pertinence ? Pour donner réponse à ces questions, il est nécessaire d'associer chaque document et requête à des représentations interprétables par ordinateur. Une fois ces représentations estimées, la similarité peut correspondre, par exemple, à une distance ou une divergence qui opère dans l'espace de représentation. On admet généralement que la qualité d'une représentation a un impact direct sur l'erreur d'estimation par rapport à la vraie pertinence, jugée par un humain. Estimer de bonnes représentations des documents et des requêtes a longtemps été un problème central de la recherche d'informations. Le but de cette thèse est de proposer des nouvelles méthodes pour estimer les représentations des documents et des requêtes, la relation de pertinence entre eux et ainsi modestement avancer l'état de l'art du domaine. Nous présentons quatre articles publiés dans des conférences internationales et un article publié dans un forum d'évaluation. Les deux premiers articles concernent des méthodes qui créent l'espace de représentation selon une connaissance à priori sur les caractéristiques qui sont importantes pour la tâche à accomplir. Ceux-ci nous amènent à présenter un nouveau modèle de recherche d'informations qui diffère des modèles existants sur le plan théorique et de l'efficacité expérimentale. Les deux derniers articles marquent un changement fondamental dans l'approche de construction des représentations. Ils bénéficient notamment de l'intérêt de recherche dont les techniques d'apprentissage profond par réseaux de neurones, ou deep learning, ont fait récemment l'objet. Ces modèles d'apprentissage élicitent automatiquement les caractéristiques importantes pour la tâche demandée à partir d'une quantité importante de données. Nous nous intéressons à la modélisation des relations sémantiques entre documents et requêtes ainsi qu'entre deux ou plusieurs requêtes. Ces derniers articles marquent les premières applications de l'apprentissage de représentations par réseaux de neurones à la recherche d'informations. Les modèles proposés ont aussi produit une performance améliorée sur des collections de test standard. Nos travaux nous mènent à la conclusion générale suivante: la performance en recherche d'informations pourrait drastiquement être améliorée en se basant sur les approches d'apprentissage de représentations.

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This qualitative study focuses on what contributes to making a music information-seeking experience satisfying in the context of everyday life. Data were collected through in-depth interviews conducted with 15 younger adults (18 to 29 years old). The analysis revealed that satisfaction could depend on both hedonic (i.e., experiencing pleasure) and utilitarian outcomes. It was found that two types of utilitarian outcomes contributed to satisfaction: (1) the acquisition of music, and (2) the acquisition of information about music. Information about music was gathered to (1) enrich the listening experience, (2) increase one's music knowledge, and/or (3) optimize future acquisition. This study contributes to a better understanding of music information-seeking behavior in recreational contexts. It also has implications for music information retrieval systems design: results suggest that these systems should be engaging, include a wealth of extra-musical information, allow users to navigate among music items, and encourage serendipitous encountering of music.

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La recherche d'informations s'intéresse, entre autres, à répondre à des questions comme: est-ce qu'un document est pertinent à une requête ? Est-ce que deux requêtes ou deux documents sont similaires ? Comment la similarité entre deux requêtes ou documents peut être utilisée pour améliorer l'estimation de la pertinence ? Pour donner réponse à ces questions, il est nécessaire d'associer chaque document et requête à des représentations interprétables par ordinateur. Une fois ces représentations estimées, la similarité peut correspondre, par exemple, à une distance ou une divergence qui opère dans l'espace de représentation. On admet généralement que la qualité d'une représentation a un impact direct sur l'erreur d'estimation par rapport à la vraie pertinence, jugée par un humain. Estimer de bonnes représentations des documents et des requêtes a longtemps été un problème central de la recherche d'informations. Le but de cette thèse est de proposer des nouvelles méthodes pour estimer les représentations des documents et des requêtes, la relation de pertinence entre eux et ainsi modestement avancer l'état de l'art du domaine. Nous présentons quatre articles publiés dans des conférences internationales et un article publié dans un forum d'évaluation. Les deux premiers articles concernent des méthodes qui créent l'espace de représentation selon une connaissance à priori sur les caractéristiques qui sont importantes pour la tâche à accomplir. Ceux-ci nous amènent à présenter un nouveau modèle de recherche d'informations qui diffère des modèles existants sur le plan théorique et de l'efficacité expérimentale. Les deux derniers articles marquent un changement fondamental dans l'approche de construction des représentations. Ils bénéficient notamment de l'intérêt de recherche dont les techniques d'apprentissage profond par réseaux de neurones, ou deep learning, ont fait récemment l'objet. Ces modèles d'apprentissage élicitent automatiquement les caractéristiques importantes pour la tâche demandée à partir d'une quantité importante de données. Nous nous intéressons à la modélisation des relations sémantiques entre documents et requêtes ainsi qu'entre deux ou plusieurs requêtes. Ces derniers articles marquent les premières applications de l'apprentissage de représentations par réseaux de neurones à la recherche d'informations. Les modèles proposés ont aussi produit une performance améliorée sur des collections de test standard. Nos travaux nous mènent à la conclusion générale suivante: la performance en recherche d'informations pourrait drastiquement être améliorée en se basant sur les approches d'apprentissage de représentations.

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"Papers presented at the Allerton Park Institute, sponsored by University of Illinois, Graduate School of Library and Information Science, cosponsored by the Youth Divisions of the American Library Association: American Association of School Librarians (AASL), Association for Library Service to Children (ALSC), Young Adult Services Division (YASD); held November 14-16, 1986, Chancellor Hotel & Conference Center ... Champaign, Illinois."

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Includes bibliographies and index.