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A Study on Performance Analysis and Programming Interface for CERN EOS Distributed File System
No full textEmpirical Comparison of Word Similarity Measures Based on Co-Occurrence, Context, and a Vector Space Model
Get PDFWord similarity is often measured to enhance system performance in the information retrieval field and other related areas. This paper reports on an experimental comparison of values for word similarity measures that were computed based on 50 intentionally selected words from a Reuters corpus. There were three targets, including (1) co-occurrence-based similarity measures (for which a co-occurrence frequency is counted as the number of documents or sentences), (2) context-based distributional similarity measures obtained from a latent Dirichlet allocation (LDA), nonnegative matrix factorization (NMF), and Word2Vec algorithm, and (3) similarity measures computed from the tf-idf weights of each word according to a vector space model (VSM). Here, a Pearson correlation coefficient for a pair of VSM-based similarity measures and co-occurrence-based similarity measures according to the number of documents was highest. Group-average agglomerative hierarchical clustering was also applied to similarity matrices computed by individual measures. An evaluation of the cluster sets according to an answer set revealed that VSM- and LDA-based similarity measures performed best
Health Metrics and Information Behavior: How Users Estimate and Use Self-Quantifying Activity and Health Information
Get PDFThis study focuses on users of activity tracking technologies and their related information behavior. How useful is the provided information by the trackers? Do users understand all information and explanations? We conducted a web-based survey. All in all, 631 users of a tracking device filled out the survey. From the perspective of information science, this investigation aims to analyze information needs considering different types of the provided information by activity tracking technologies. Are users satisfied by using the information on their steps, heart rates, and sleep duration? How do users assess readability about heart rate zones and sleep stages? Additionally, we investigated if users understand how to reflect on and adapt their health behavior based on the received explanations. According to the results, users mainly agree that the received information (raw data as well as – to a lesser extent – aggregated data in the form of corresponding diagrams) is useful, that the explanations are easy to understand, and that they know how to use this obtained information. This investigation enables an in-depth insight into how users are applying the self-quantifying activity and health information and which information needs are satisfied
KISTI 개발 소프트웨어, 대형 국제공동실험에 10년간 활용 쾌거
Get PDF한국과학기술정보연구원(원장 최희윤, 이하 KISTI)은 KISTI의 메타데이터 관리 소프트웨어 AMGA(ARDA Metadata Grid Application)가 오는 3월부터 본격 가동 될 Belle II 국제 거대실험의 데이터처리 소프트웨어로 사용될 예정이라고 24일 밝혔다
KISTI, KREONET 활용 코로나-19 대응을 위한 한국-파키스탄 의료진간 온라인 협업 세미나 개최
Get PDF한국과학기술정보연구원(원장 최희윤, 이하 KISTI)은 충북대학교 의과대학 의과학연구정보센터(이하 MedRIC)와 공동으로 한국의 코로나19 진단 및 치료경험에 대해 충북대학교 의과대학 화상회의실에서 국제 화상세미나를 진행했다고 밝혔다