21,397 research outputs found
A visual exploration workflow as enabler for the exploitation of Linked Open Data
Abstract. Semantically annotating and interlinking Open Data results in Linked Open Data which concisely and unambiguously describes a knowledge domain. However, the uptake of the Linked Data depends on its usefulness to non-Semantic Web experts. Failing to support data consumers to understand the added-value of Linked Data and possible exploitation opportunities could inhibit its diffusion. In this paper, we propose an interactive visual workflow for discovering and ex-ploring Linked Open Data. We implemented the workflow considering academic library metadata and carried out a qualitative evaluation. We assessed the work-flow’s potential impact on data consumers which bridges the offer: published Linked Open Data; and the demand as requests for: (i) higher quality data; and (ii) more applications that re-use data. More than 70 % of the 34 test users agreed that the workflow fulfills its goal: it facilitates non-Semantic Web experts to un-derstand the potential of Linked Open Data.
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Spatio-Temporal Data in Tourism Research
The work presented here highlights the efforts at Destination Canada to use user-generated online content to learn about tourist movement patterns, activity, and relationships among groups of connected destinations. Using a massive open-data source of photographic metadata from the Flickr photograph sharing platform, we extract time-stamps and geographic coordinates from photo metadata to analyze activity and movement patterns of international visitors to Canada.
This analysis allows us to protect privacy while identifying rich and interesting patterns of tourist activity at both national and urban scales. The data further allows us to generate constructed tourist itineraries using extracted spatio-temporal data for anonymized individual users.
In this presentation we highlight several use cases and applications that rely on this data that we believe may be useful for government organizations, destination marketing organizations, and the tourism industry in general: distribution of tourist activity across geographies, the differential spatial patterns of international tourists and locals, inter-provincial tourist movement, as well as intra-urban tourist movement networks and attraction clustering. We provide illustrative analysis and visualizations of our preliminary exploratory findings.
One of the key findings of this research is the broad scope of the potential application of spatio-temporal data sources for tourism research. We outline a methodology for the use of spatio-temporal data in tourism research and on the potential application of other spatio-temporal data sources for tourism research, as well as Destination Canada’s most recent work in this area to study urban tourist activity patterns
Analytics-Driven Digital Platform for Regional Growth and Development: A Case Study from Norway
In this paper, we present the growth barometer (Vekstbarometer in Norwegian),
which is a digital platform that provides the development trends in the
regional context in a visual and user-friendly way. The platform is developed
to use open data from different sources that is presented mainly in five main
groups: goals, premises or prerequisites for growth, industries, growth, and
expectations. Furthermore, it also helps to improve decision-making and
transparency, as well as provide new knowledge for research and society. The
platform uses sensitive and non-sensitive open data. In contrast to other
similar digital platforms from Norway, where the data is presented as raw data
or with basic level of presentations, our platform is advantageous since it
provides a range of options for visualization that makes the statistics more
comprehensive.Comment: The Thirteenth International Conference on Digital Society and
eGovernments (ICDS 2019
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Maleku: an evolutionary visual software analytics tool for providing insights into software evolution
Software maintenance is a complex process that requires the understanding and comprehension of software project details. It involves the understanding of the evolution of the software project, hundreds of software components and the relationships among software items in the form of inheritance, interface implementation, coupling and cohesion. Consequently, the aim of evolutionary visual software analytics is to support software project managers and developers during software maintenance. It takes into account the mining of evolutionary data, the subsequent analysis of the results produced by the mining process for producing evolution facts, the use of visualizations supported by interaction techniques and the active participation of users. Hence, this paper proposes an evolutionary visual software analytics tool for the exploration and comparison of project structural, interface implementation and class hierarchy data, and the correlation of structural data with metrics, as well as socio-technical relationships. Its main contribution is a tool that automatically retrieves evolutionary software facts and represent them using a scalable visualization design
Staff Pay Levels for Selected Positions in House Member Offices, 2009-2013
[Excerpt] This report provides pay data for 13 staff position titles that are typically deployed in the offices of Members of the House. The positions include the following: Caseworker; Chief of Staff; Counsel; District Director; Executive Assistant; Field Representative; Legislative Assistant; Legislative Correspondent; Legislative Director; Office Manager; Press Secretary; Scheduler; and Staff Assistant. House Member staff pay data for the years 2009-2013 were developed based on a random sampling of staff for each position in each year
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Introducing Preservice STEM Teachers to Computer Science: A Narrative of Theoretically Oriented Design
This paper narrates the process of designing a curricular unit that serves to introduce preservice science, technology, engineering, and mathematics (STEM) teachers to computer science (CS) education. Unlike most literature that focuses on results and findings, this paper explains how a justice-centered approach to CS education informed decisions about the theoretical underpinnings of curricular design choices. Situated in issues related to the gentrification of Austin, Texas, the described curricular unit explores how the increased use of CS and growth of the technology sector are having a direct impact on the historically marginalized residents of East Austin. Connected by a theme that maps are both a form of data visualization and political artifact, the described curricular unit uses CS as a tool to: critique the macro-ethics of politics and society; provide a CS learning environment that can be responsive to the multiple social identities of students; and connect CS to larger struggles for justice and liberation.Educatio
Measuring the effectiveness of computer-based scientific visualisations for conceptual development in Australian chemistry classrooms
Visual modes of representation have always been very important in science and science education. Interactive computer-based animations and simulations offer new visual resources for chemistry education. Many studies have shown that students enjoy learning with visualisations but few have explored how learning outcomes compare when teaching with or without visualisations. This study employs a quasi-experimental crossover research design and quantitative methods to measure the educational effectiveness - defined as level of conceptual development on the part of students - of using computer-based scientific visualisations versus teaching without visualisations in teaching chemistry. In addition to finding that teaching with visualisations offered outcomes that were not significantly different from teaching without visualisations, the study also explored differences in outcomes for male and female students, students with different learning styles (visual, aural, kinesthetic) and students of differing levels of academic ability
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