Hasil untuk "Bibliography. Library science. Information resources"

John F. Wu, Joshua E. G. Peek, Sophie J. Miller et al.

Telescope bibliographies record the pulse of astronomy research by capturing publication statistics and citation metrics for telescope facilities. Robust and scalable bibliographies ensure that we can measure the scientific impact of our facilities and archives. However, the growing rate of publications threatens to outpace our ability to manually label astronomical literature. We therefore present the Automated Mission Classifier (amc), a tool that uses large language models (LLMs) to identify and categorize telescope references by processing large quantities of paper text. A modified version of amc performs well on the TRACS Kaggle challenge, achieving a macro $F_1$ score of 0.84 on the held-out test set. amc is valuable for other telescopes beyond TRACS; we developed the initial software for identifying papers that featured scientific results by NASA missions. Additionally, we investigate how amc can also be used to interrogate historical datasets and surface potential label errors. Our work demonstrates that LLM-based applications offer powerful and scalable assistance for library sciences.

Philippe C. Baveye

Journal and book editors in most disciplines are faced with a flood of meta-analyses, which critical reviews have shown are not always of sufficient quality. In the short run, editors could give targeted instructions to authors and make specific recommendations to reviewers to ensure that not only meta-analyses but also research syntheses more broadly, published under their watch, meet acceptable publication standards. In order to achieve satisfactory improvements in the long run, editors should foster fundamental changes in the way the publication of negative and non-significant results is handled.

Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe et al.

Many Natural Language Processing (NLP) systems use annotated corpora for training and evaluation. However, labeled data is often costly to obtain and scaling annotation projects is difficult, which is why annotation tasks are often outsourced to paid crowdworkers. Citizen Science is an alternative to crowdsourcing that is relatively unexplored in the context of NLP. To investigate whether and how well Citizen Science can be applied in this setting, we conduct an exploratory study into engaging different groups of volunteers in Citizen Science for NLP by re-annotating parts of a pre-existing crowdsourced dataset. Our results show that this can yield high-quality annotations and attract motivated volunteers, but also requires considering factors such as scalability, participation over time, and legal and ethical issues. We summarize lessons learned in the form of guidelines and provide our code and data to aid future work on Citizen Science.

LI Yikai, YE Sa, KOU Yuantao

[Purpose/Significance] In the era of big data, people are flooded with massive information, and problems such as knowledge anxiety, adjustment of resource demand structure, and desire for high-quality information follow one after another. From the perspective of technical support, user interaction is rarely explored, but it is indispensable. The application in the field of infrastructure construction and business is relatively complete, but the user interaction of the knowledge service system is still insufficient: at the theoretical research level, there is a lack of summary of theoretical methods and systematic framework design; at the application practice level, there is a lack of systematic guidance. [Method/Process] The agricultural professional knowledge service system has relatively complete and representative user interaction, a large user base, and a high degree of retention, which is worthy of study, but it has certain shortcomings. The research on user interaction of agricultural knowledge system in this paper is mainly divided into the following three aspects. First, by sorting out the research status of user interaction at home and abroad, the user interaction framework of knowledge service system, namely human-computer interaction and interpersonal interaction, constitutes the basic research framework of this research. Second, based on this, using questionnaires and Baidu statistics this paper investigates the user demand of the agricultural professional knowledge service system, and at the same time analyzes the current situation and deficiencies of the system's supply resources, technologies and service layers. Third, this paper proposes an agricultural professional knowledge service system. The user interaction optimization plan starts from the human-computer interaction and interpersonal interaction dimensions of user interaction, analyzes and optimizes the resources, technologies and service layers of the agricultural knowledge system, realizes the friendly interaction of the system, improves the interaction incentive system, and builds a strong interactive knowledge chain community. [Results/Conclusions] The user interaction frame-work of the knowledge service system is designed, and based on this, we analyzed the current situation of user interaction in the agricultural knowledge system, and realized system optimization. The system can better stimulate user needs and understand user needs for the agricultural knowledge system, innovate functions, and provide high-quality personalized services, maintain the attractiveness and participation stickiness of users, benefit more user groups, and play a guiding role in the realization of system upgrades. Due to the lack of relevant knowledge of algorithm technology and lack of technical design for the optimization of agricultural professional knowledge service system, we need to explore the technical layer in the follow-up research; after the system optimization plan is proposed and implemented, experts and scholars need to further test its improvement effect, and propose construction to better realize the all-round optimization of the user interaction of the agricultural knowledge system.

Isaac J. Sledge, Jose C. Principe

In this paper, we consider the problem of adjusting the exploration rate when using value-of-information-based exploration. We do this by converting the value-of-information optimization into a problem of finding equilibria of a flow for a changing exploration rate. We then develop an efficient path-following scheme for converging to these equilibria and hence uncovering optimal action-selection policies. Under this scheme, the exploration rate is automatically adapted according to the agent's experiences. Global convergence is theoretically assured. We first evaluate our exploration-rate adaptation on the Nintendo GameBoy games Centipede and Millipede. We demonstrate aspects of the search process, like that it yields a hierarchy of state abstractions. We also show that our approach returns better policies in fewer episodes than conventional search strategies relying on heuristic, annealing-based exploration-rate adjustments. We then illustrate that these trends hold for deep, value-of-information-based agents that learn to play ten simple games and over forty more complicated games for the Nintendo GameBoy system. Performance either near or well above the level of human play is observed.

Caner Çakı, Mustafa Karaca, Gül Çakı et al.

1979 yılında Nikaragua’da meydana gelen devrim sonucunda Sandinista Ulusal Kurtuluş Cephesi (Frente Sandinista de Liberación Nacional, FSLN), ülke yönetimini devralmış ve 1980 yılında okuryazarlık kampanyası başlatmıştır. FSLN’nin kurucusu Carlos Fonseca’nın kütüphaneci ve öğretmen olması, kampanyanın ayrı bir önem kazanmasına yol açmıştır. Kampanyada okuryazarlığın ve kitap okumanın önemine vurgu yapılması amacıyla propaganda posterlerinden etkin bir şekilde yararlanılmıştır. Kampanya, 1980 yılında UNESCO Nadezhda K. Krupskaya okuryazarlık ödülüne layık görülmüştür. Çalışmada okuryazarlık kampanyasında okuryazarlığın ve kitap okumanın teşvik edilmesi amacıyla propaganda posterlerinden ne şekilde yararlanıldığı ortaya konulmaya çalışılmıştır. Bu amaçla çalışmada Amsterdam’daki Uluslararası Sosyal Tarih Enstitüsü’nden (Internationaal Instituut voor Sociale Geschiedenis) propaganda posterlerine ulaşılmış ve ulaşılan propaganda posterlerindeki görsel ve yazılı göstergeler, ABD’li dilbilimci Charles William Morris’in göstergebilimindeki üç boyutu ışığında analiz edilmiştir. Elde edilen bulgularda, propaganda posterleri üzerinden okuryazarlığın insanları özgürleştirdiği ileri sürülerek ve okuryazarlık devrimle özdeşleştirilerek insanların okuryazar olmasının ve kitap okumasının teşvik edilmesine çalışıldığı ortaya çıkarılmıştır.

Seong-Kwan Lim

Virtual Reality (VR) is one of the core components of the fourth industrial revolution as a technology that makes the virtual world feel as if it is real. VR is being used in various fields such as entertainment, advertisement, education, medical care, training, sports, and tourism, as well as providing contents for such things as games and videos. Libraries are already looking for ways to utilize VR from various angles, such as operating experiential programs. The purpose of this thesis is to develop and propose a VR-based library user education program. In order to achieve the purpose of the study, we analyzed previous studies from a theoretical perspective to find a way to construct a user education program, and also to derive possible implications based on examples of countries such as the United States and Korea that are already introducing and applying VR technology to library services. Therefore, the user education program proposed in this study can be used as a basic building block when many libraries want to develop VR-based programs in the future.

Patricia Wollstadt, Sebastian Schmitt, Michael Wibral

Selecting a minimal feature set that is maximally informative about a target variable is a central task in machine learning and statistics. Information theory provides a powerful framework for formulating feature selection algorithms -- yet, a rigorous, information-theoretic definition of feature relevancy, which accounts for feature interactions such as redundant and synergistic contributions, is still missing. We argue that this lack is inherent to classical information theory which does not provide measures to decompose the information a set of variables provides about a target into unique, redundant, and synergistic contributions. Such a decomposition has been introduced only recently by the partial information decomposition (PID) framework. Using PID, we clarify why feature selection is a conceptually difficult problem when approached using information theory and provide a novel definition of feature relevancy and redundancy in PID terms. From this definition, we show that the conditional mutual information (CMI) maximizes relevancy while minimizing redundancy and propose an iterative, CMI-based algorithm for practical feature selection. We demonstrate the power of our CMI-based algorithm in comparison to the unconditional mutual information on benchmark examples and provide corresponding PID estimates to highlight how PID allows to quantify information contribution of features and their interactions in feature-selection problems.

Jonathan Scarlett, Albert Guillén i Fàbregas, Anelia Somekh-Baruch et al.

Shannon's channel coding theorem characterizes the maximal rate of information that can be reliably transmitted over a communication channel when optimal encoding and decoding strategies are used. In many scenarios, however, practical considerations such as channel uncertainty and implementation constraints rule out the use of an optimal decoder. The mismatched decoding problem addresses such scenarios by considering the case that the decoder cannot be optimized, but is instead fixed as part of the problem statement. This problem is not only of direct interest in its own right, but also has close connections with other long-standing theoretical problems in information theory. In this monograph, we survey both classical literature and recent developments on the mismatched decoding problem, with an emphasis on achievable random-coding rates for memoryless channels. We present two widely-considered achievable rates known as the generalized mutual information (GMI) and the LM rate, and overview their derivations and properties. In addition, we survey several improved rates via multi-user coding techniques, as well as recent developments and challenges in establishing upper bounds on the mismatch capacity, and an analogous mismatched encoding problem in rate-distortion theory. Throughout the monograph, we highlight a variety of applications and connections with other prominent information theory problems.

P. Kowalski, M. Fastyn, J. Banasiak

The article reflects on the state of and perspectives for cooperation between creators of contemporary bibliographies in digital environment and cultural institutions, like publishing houses, libraries, repositories, archives. The text points out perspectives and chosen problems solutions concerning cooperation between these entities, using the example of the information retrieval system iSybislaw, created by the Institute of Slavic Studies, Polish Academy of Sciences. Information resources of the system are used by scientific publishers (Publishing House of the Institute of Slavic Studies, Polish Academy of Sciences), various types of repositories of written and oral texts, libraries, and institutional portals. The article describes models of integrating these resources. Deliberations led to the conclusion, that nowadays, when growing number of bibliographies work in digital environments, there is a need for close cooperation and integration with cultural institutions. It would lead to broadening the circle of recipients of bibliographic information, which is a treasury of knowledge and cultural heritage. In the case of the iSybislaw system, integration led to growing number of recipients of topics and trends connected with studies of all Slavic languages. The keywords language used in the system enabled presentation of richness of terminology in all Slavic languages, historical development of Slavic studies, trends in contemporary Slavic territory, as well as growing connections between linguistics and other sciences, e.g. anthropology, sociology, psychology, history, literary studies, cultural studies.

habibollah Fasihi

Purpose: This paper aims to investigate the status of district 20 of Tehran in terms of the availability of public libraries and access of its residents to library services. Method: In this research, an analytical–descriptive method was used to analyze the public libraries' accessibility in the municipality of district 20 of Tehran. Parts of the data have been obtained from the documents of the libraries and parts of it have been obtained through a survey done within the area of study. The quantitative analyses were conducted using the indexes “per capita library” and “land use coverage”, and the tools “Buffering” and “Euclidean Distance” in GIS were used in order to draw the coverage areas of any library and determine the accessibility of parcels and population. Findings: Within the area of study, public libraries covered only 4.31 m2 per hectare of the lands and per capita space of them are 0.027 m2 that is approximately 50 percent of the urban planning standard scores. 86.1% of the users assess the access to libraries as “good’ and “very good”, and 74.9% of them believed that the libraries have “good’ or “very good” capacity. Furthermore, 18% of the areas and 18.32% of the population do not have access to any public library whereas 55.14% of the lands and 51.1% of the residents are accessible by at least 2 library covered area. 20% of the population reside within a distance of more than 1000 meters from the nearest public library and have not had an appropriate level of accessibility. Originality/value: This research showed that there is a lot of disparity in the coverage of library services in the district 20 of Tehran and revealed that providing a balance in this regard requires developing quantitativey and qualitatively the libraries with the score 2 and more and establishing new libraries through complying precisely with the considerations of locating with the aid of GIS tools. Therefore, the importance of this research lies in that its findings and results can be used by urban planners as guidelines to create a balanced distribution of library services

The MSE Science Team, Carine Babusiaux, Maria Bergemann et al.

(Abridged) The Maunakea Spectroscopic Explorer (MSE) is an end-to-end science platform for the design, execution and scientific exploitation of spectroscopic surveys. It will unveil the composition and dynamics of the faint Universe and impact nearly every field of astrophysics across all spatial scales, from individual stars to the largest scale structures in the Universe. Major pillars in the science program for MSE include (i) the ultimate Gaia follow-up facility for understanding the chemistry and dynamics of the distant Milky Way, including the outer disk and faint stellar halo at high spectral resolution (ii) galaxy formation and evolution at cosmic noon, via the type of revolutionary surveys that have occurred in the nearby Universe, but now conducted at the peak of the star formation history of the Universe (iii) derivation of the mass of the neutrino and insights into inflationary physics through a cosmological redshift survey that probes a large volume of the Universe with a high galaxy density. MSE is positioned to become a critical hub in the emerging international network of front-line astronomical facilities, with scientific capabilities that naturally complement and extend the scientific power of Gaia, the Large Synoptic Survey Telescope, the Square Kilometer Array, Euclid, WFIRST, the 30m telescopes and many more.

Ioan Rusu, Alona Kolomiets

The technological revolution of the last decades has led to the widespread use of digital technologies. More and more aspects of our life are carried out with their help. The purpose of the article is to highlight the concept of the Internet of things of its components and possibilities of application. An important task is to forecast the modern technologies development, depending on innovation in the field of artificial intelligence, machine learning, and the introduction of common standards in this area. Research methods are modern technologies for the introduction of the Internet of things into different spheres of human life, starting with the systems of "Smart Home" and ending with an analysis of the soil used in agriculture. The novelty of the study is to establish connections between artificial intelligence and Internet technology. Identify new competencies for occupations that will arise in the future and will be related to machine learning, cloud-based technology and Internet engineering. Conclusions. The modern technologies development, new solutions in the field of artificial intelligence will not only lead to a new era of people and machines coexistence, but will also give impetus to the emergence of new areas in training for IT industry professionals.

Gliner Dias Alencar, Hermano Perrelli de Moura, Ivaldir Honório de Farias Júnior et al.

The lack of security in information systems has caused numerous financial and moral losses to several organizations. The organizations have a series of information security measures recommended by literature and international standards. However, the implementation of policies, actions, and adjustment to such standards is not simple and must be addressed by specific needs identified by the Information Security Governance in each organization. There are many challenges in effectively establishing, maintaining, and measuring information security in a way that adds value. Those challenges demonstrate a need for further investigations which address the problem. This paper presents a strategy to measure the maturity in information security aiming, also, to assist in the application and prioritization of information security actions in the corporate environment. For this, a survey was used as the main methodological instrument, reaching 157 distinct companies. As a result, it was possible to classify the ISO/IEC 27001 and 27002 controls in four stages according to the importance given by the companies. The COBIT maturity levels and a risk analysis matrix were also used. Finally, the adaptable strategy was successfully tested in a company

Yoshiaki Inoue, Hiroyuki Masuyama, Tetsuya Takine et al.

This paper considers the stationary distribution of the age of information (AoI) in information update systems. We first derive a general formula for the stationary distribution of the AoI, which holds for a wide class of information update systems. The formula indicates that the stationary distribution of the AoI is given in terms of the stationary distributions of the system delay and the peak AoI. To demonstrate its applicability and usefulness, we analyze the AoI in single-server queues with four different service disciplines: first-come first-served (FCFS), preemptive last-come first-served (LCFS), and two variants of non-preemptive LCFS service disciplines. For the FCFS and the preemptive LCFS service disciplines, the GI/GI/1, M/GI/1, and GI/M/1 queues are considered, and for the non-preemptive LCFS service disciplines, the M/GI/1 and GI/M/1 queues are considered. With these results, we further show comparison results for the mean AoI's in the M/GI/1 and GI/M/1 queues under those service disciplines.

Philipp Mayr, Muthu Kumar Chandrasekaran, Kokil Jaidka

The $3^{rd}$ joint BIRNDL workshop was held at the 41st ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) in Ann Arbor, USA. BIRNDL 2018 intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The workshop incorporated three paper sessions and the $4^{th}$ edition of the CL-SciSumm Shared Task.

Pradeep Kr. Banerjee, Johannes Rauh, Guido Montúfar

Given a pair of predictor variables and a response variable, how much information do the predictors have about the response, and how is this information distributed between unique, redundant, and synergistic components? Recent work has proposed to quantify the unique component of the decomposition as the minimum value of the conditional mutual information over a constrained set of information channels. We present an efficient iterative divergence minimization algorithm to solve this optimization problem with convergence guarantees and evaluate its performance against other techniques.

Binglin Li, Shuangqing Wei, Yue Wang et al.

In this paper, we aim to provide a systematic study of the relationship between Chernoff information and topological, as well as algebraic properties of the corresponding Gaussian tree graphs for the underlying graphical testing problems. We first show the relationship between Chernoff information and generalized eigenvalues of the associated covariance matrices. It is then proved that Chernoff information between two Gaussian trees sharing certain local subtree structures can be transformed into that of two smaller trees. Under our proposed grafting operations, bottleneck Gaussian trees, namely, Gaussian trees connected by one such operation, can thus be simplified into two 3-node Gaussian trees, whose topologies and edge weights are subject to the specifics of the operation. Thereafter, we provide a thorough study about how Chernoff information changes when small differences are accumulated into bigger ones via concatenated grafting operations. It is shown that the two Gaussian trees connected by more than one grafting operation may not have bigger Chernoff information than that of one grafting operation unless these grafting operations are separate and independent. At the end, we propose an optimal linear dimensional reduction method related to generalized eigenvalues.

Joseph M. Hellerstein

Over nearly three decades at the University of Wisconsin, Jeff Naughton has left an indelible mark on computer science. He has been a global leader of the database research field, deepening its core and pushing its boundaries. Many of Naughton's ideas were translated directly into practice in commercial and open-source systems. But software comes and goes. In the end, it is the ideas themselves that have had impact, ideas written down in papers. Naughton has been a prolific scholar over the last thirty years, with over 175 publications in his bibliography, covering a wide range of topics. This document does not attempt to enumerate or even summarize the wealth of ideas that Naughton has published over the course of his academic career--the task is too daunting. Instead, the best this short note aims to do is to serve as a rough map of the territory: something to help other researchers navigate the wide spaces of Naughton's work.

Ian A. Crawford, Martin Elvis, James Carpenter

To-date, all human economic activity has depended on the resources of a single planet, and it has long been recognized that developments in space exploration could in principle open our closed planetary economy to external resources of energy and raw materials. Recently, there has been renewed interest in these possibilities, with several private companies established with the stated aim of exploiting extraterrestrial resources. Space science and exploration are among the potential beneficiaries of space resources because their use may permit the construction and operation of scientific facilities in space that will be unaffordable if all the required material and energy resources have to be lifted out of Earth's gravity. Examples may include the next generation of large space telescopes, sample return missions to the outer Solar System, and human research stations on the Moon and Mars. These potential scientific benefits of extraterrestrial resource utilisation were the topic of a Royal Astronomical Society specialist discussion meeting held on 8 April 2016 and summarised here.