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This article presents our steps to integrate complex and partly unstructured medical data into a clinical research database with subsequent decision support. Our main application is an integrated faceted search tool, accompanied by the…

Human-Computer Interaction · Computer Science 2018-10-31 Daniel Sonntag , Hans-Jürgen Profitlich

Efficient explorative data analysis systems must take into account both what a user knows and wants to know. This paper proposes a principled framework for interactive visual exploration of relations in data, through views most informative…

Machine Learning · Statistics 2021-07-02 Kai Puolamäki , Emilia Oikarinen , Andreas Henelius

Metadata-the machine-readable descriptions of the data-are increasingly seen as crucial for describing the vast array of biomedical datasets that are currently being deposited in public repositories. While most public repositories have firm…

As Digital Libraries (DL) become more aligned with the web architecture, their functional components need to be fundamentally rethought in terms of URIs and HTTP. Annotation, a core scholarly activity enabled by many DL solutions, exhibits…

Digital Libraries · Computer Science 2010-03-22 Robert Sanderson , Herbert Van de Sompel

We study the benefits and challenges of using Linked Open Data in smart city applications and propose a set of open source, highly scalable tools within the case of a public-rental bicycle system, which can act as a reference guide for…

Computers and Society · Computer Science 2024-08-27 Javier Conde , Andres Munoz-Arcentales , Johnny Choque , Gabriel Huecas , Álvaro Alonso

Current tools for exploratory data analysis (EDA) require users to manually select data attributes, statistical computations and visual encodings. This can be daunting for large-scale, complex data. We introduce Foresight, a system that…

Databases · Computer Science 2017-07-14 Çağatay Demiralp , Peter J. Haas , Srinivasan Parthasarathy , Tejaswini Pedapati

This paper introduces the Pareto Data Framework, an approach for identifying and selecting the Minimum Viable Data (MVD) required for enabling machine learning applications on constrained platforms such as embedded systems, mobile devices,…

Machine Learning · Computer Science 2024-09-19 Tashfain Ahmed , Josh Siegel

Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in production, new opportunities to observe, evaluate and learn from…

Information Retrieval · Computer Science 2022-10-25 Timo Breuer , Narges Tavakolpoursaleh , Johann Schaible , Daniel Hienert , Philipp Schaer , Leyla Jael Castro

Data collection is an important part of many citizen science projects as well as other fields of research, particularly in life sciences. Mobile applications with form-based surveys are increasingly used to support this, due to the large…

Computers and Society · Computer Science 2019-02-01 Markus D. Steinberg

We present a summary of the major contributions to the Special Session on Data Management held at the IAU General Assembly in Prague in 2006. While recent years have seen enormous improvements in access to astronomical data, and the Virtual…

An IVOA Identifier is a globally unique name for a resource. This name can be used to retrieve a unique description of the resource from an IVOA-compliant registry. This document describes the syntax for IVOA identifiers as well as how they…

Instrumentation and Methods for Astrophysics · Physics 2019-05-22 Raymond Plante , Tony Linde , Roy Williams , Keith Noddle , the IVOA Registry Working Group

Internet of Things (IoT) infrastructure within the physical library environment is the basis for an integrative, hybrid approach to digital resource recommenders. The IoT infrastructure provides mobile, dynamic wayfinding support for items…

Digital Libraries · Computer Science 2019-02-04 Jim Hahn

Nowadays, many scientific areas share the same need of being able to deal with massive and distributed datasets and to perform on them complex knowledge extraction tasks. This simple consideration is behind the international efforts to…

Our presentation is aimed at data centers providing access to complex observational and theoretical data and to the users of these resources. We show how to visualize complex datasets stored in the VO enabled data archives using existing VO…

Astrophysics · Physics 2007-11-14 Igor Chilingarian , Ivan Zolotukhin

We present VISTA (Viewpoint-based Image selection with Semantic Task Awareness), an active exploration method for robots to plan informative trajectories that improve 3D map quality in areas most relevant for task completion. Given an…

Virtual Reality (VR) has shown great potential to revolutionize the market by providing users immersive experiences with freedom of movement. Compared to traditional video streaming, VR is with ultra high-definition and dynamically changes…

Networking and Internet Architecture · Computer Science 2021-03-12 Miao Hu , Xianzhuo Luo , Jiawen Chen , Young Choon Lee , Yipeng Zhou , Di Wu

Accompanying a data visualization with metadata may benefit readers by facilitating content understanding, strengthening trust, and providing accountability. However, providing this kind of information may also have negative, unintended…

Human-Computer Interaction · Computer Science 2021-08-31 Alyxander Burns , Thai On , Christiana Lee , Rachel Shapiro , Cindy Xiong , Narges Mahyar

This report discusses the foundations of the VO approach. Then, it explores multiple directions and argues about structure and applications.

Logic in Computer Science · Computer Science 2022-05-13 Sebastian Stock , Fabian Vu , Atif Mashkoor , Michael Leuschel , Alexander Egyed

This article describes the use of metadata and standards in the Social Impact Data Commons to expose official statisticians to an innovative project built on actionable and evaluable metadata, which produces a FAIR data system. We begin by…

Computers and Society · Computer Science 2025-11-25 Joanna Schroeder , Alan Wang , Kathryn Linehan , Joel Thurston , Aaron Schroeder

Time series forecasting is prevalent in extensive real-world applications, such as financial analysis and energy planning. Previous studies primarily focus on time series modality, endeavoring to capture the intricate variations and…

Machine Learning · Computer Science 2024-10-08 Jiaxiang Dong , Haixu Wu , Yuxuan Wang , Li Zhang , Jianmin Wang , Mingsheng Long
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