1,202 research outputs found

    Program your city: Designing an urban integrated open data API

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    Cities accumulate and distribute vast sets of digital information. Many decision-making and planning processes in councils, local governments and organisations are based on both real-time and historical data. Until recently, only a small, carefully selected subset of this information has been released to the public – usually for specific purposes (e.g. train timetables, release of planning application through websites to name just a few). This situation is however changing rapidly. Regulatory frameworks, such as the Freedom of Information Legislation in the US, the UK, the European Union and many other countries guarantee public access to data held by the state. One of the results of this legislation and changing attitudes towards open data has been the widespread release of public information as part of recent Government 2.0 initiatives. This includes the creation of public data catalogues such as data.gov.au (U.S.), data.gov.uk (U.K.), data.gov.au (Australia) at federal government levels, and datasf.org (San Francisco) and data.london.gov.uk (London) at municipal levels. The release of this data has opened up the possibility of a wide range of future applications and services which are now the subject of intensified research efforts. Previous research endeavours have explored the creation of specialised tools to aid decision-making by urban citizens, councils and other stakeholders (Calabrese, Kloeckl & Ratti, 2008; Paulos, Honicky & Hooker, 2009). While these initiatives represent an important step towards open data, they too often result in mere collections of data repositories. Proprietary database formats and the lack of an open application programming interface (API) limit the full potential achievable by allowing these data sets to be cross-queried. Our research, presented in this paper, looks beyond the pure release of data. It is concerned with three essential questions: First, how can data from different sources be integrated into a consistent framework and made accessible? Second, how can ordinary citizens be supported in easily composing data from different sources in order to address their specific problems? Third, what are interfaces that make it easy for citizens to interact with data in an urban environment? How can data be accessed and collected

    VALUE IN THE MASH: EXPLORING THE BENEFITS, BARRIERS AND ENABLERS OF OPEN DATA APPS

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    The open government paradigm relies on the provision and reuse of open government data (OGD) to improve transparency and create new sources of valu. This study aims to progress understanding of OGD beyond a theoretical commentary by exploring the perceived sources of valu of mashups (online services that combine diverse OGD), and to examine issus that impact on, and facilitate, the delivery of this valu from an ˜insider´ perspective. Based on open-ended interviews with 17 individuals actively involved in OGD application design, use, and advocacy in New Zealand (ranked fourth in the 2013 Global Open Data Barometer) nine key sources of valu were identified: Ease of discovery, improved data quality, bringing knowledge into relevant contexts, economic benefits, social benefits, cost reduction and efficiencies, predictive valu, transparency, and ability to explore and play. Twelve barriers to delivering this valu were found, ranging from change-related issus to problems relating to sustainability. Six facilitators were identified as helping to overcome these barriers and realise the valu of OGD

    Distributed multimodal journey planner based on mashup of individual planners’ APIs

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    In this research work we describe the creation of the concept of a distributed journey planning system that links as many journey planning services as are available in public transportation operators and willing to participate in one or more networks of journey planners across Europe. This is integrated on European project MASAI and it is part of a development of mobile solutions that allows journey plans in Europe based on public transportation availability, with the possibility of buying tickets in a mobile device with a multi-operator scenario. A semantic context was created in order to identify which Application-Programming Interfaces (APIs) from different public transport operators to use and set start\end trip points.info:eu-repo/semantics/acceptedVersio

    Service-Oriented Framework for Developing Interoperable e-Health Systems in a Low-Income Country

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    e-Health solutions in low-income countries are fragmented, address institution-specific needs, and do little to address the strategic need for inter-institutional exchange of health data. Although various e-health interoperability frameworks exist, contextual factors often hinder their effective adoption in low-income countries. This underlines the need to investigate such factors and to use findings to adapt existing e-health interoperability models. Following a design science approach, this research involved conducting an exploratory survey among 90 medical and Information Technology personnel from 67 health facilities in Uganda. Findings were used to derive requirements for e-health interoperability, and to orchestrate elements of a service oriented framework for developing interoperable e-health systems in a low-income country (SOFIEH). A service-oriented approach yields reusable, flexible, robust, and interoperable services that support communication through well-defined interfaces. SOFIEH was evaluated using structured walkthroughs, and findings indicate that it scored well regarding applicability, usability, and understandability

    The intersection of people, technology and local space. PPGIS and Web in practice for participatory planning

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    Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesThis study concerns about the contributions of Web 2.0 tools to Public Participation Geographic Information System (PPGIS) and of PPGIS to participatory planning. Web 2.0 tools are increasingly occupying an important role in the universe of geographic information consciousness. Both Web 2.0 and PPGIS are about decentralization, public mapping, and local knowledge, encouraging throughout productive results. The project develops a Web 2.0 PPGIS mashup application through free, easy-to-use tools. It consists of a Web mapping service, with eligible GI layers, where users explore and comment. A database stores the contributions in a format supported by GIS. Finally, we set a first version at Canela – Brazil, to test the usefulness of the method on a real planning scenario. Results shown it is a valuable approach for engaging the public in participatory planning. It promotes communications among users and with decision makers in a more interactive and straightforward way. The Web 2.0 PPGIS is easy to set and understandable by nonexperts, and can be easily applied on other contexts

    Information visualisation and data analysis using web mash-up systems

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    A thesis submitted in partial fulfilment for the degree of Doctor of PhilosophyThe arrival of E-commerce systems have contributed greatly to the economy and have played a vital role in collecting a huge amount of transactional data. It is becoming difficult day by day to analyse business and consumer behaviour with the production of such a colossal volume of data. Enterprise 2.0 has the ability to store and create an enormous amount of transactional data; the purpose for which data was collected could quite easily be disassociated as the essential information goes unnoticed in large and complex data sets. The information overflow is a major contributor to the dilemma. In the current environment, where hardware systems have the ability to store such large volumes of data and the software systems have the capability of substantial data production, data exploration problems are on the rise. The problem is not with the production or storage of data but with the effectiveness of the systems and techniques where essential information could be retrieved from complex data sets in a comprehensive and logical approach as the data questions are asked. Using the existing information retrieval systems and visualisation tools, the more specific questions are asked, the more definitive and unambiguous are the visualised results that could be attained, but when it comes to complex and large data sets there are no elementary or simple questions. Therefore a profound information visualisation model and system is required to analyse complex data sets through data analysis and information visualisation, to make it possible for the decision makers to identify the expected and discover the unexpected. In order to address complex data problems, a comprehensive and robust visualisation model and system is introduced. The visualisation model consists of four major layers, (i) acquisition and data analysis, (ii) data representation, (iii) user and computer interaction and (iv) results repositories. There are major contributions in all four layers but particularly in data acquisition and data representation. Multiple attribute and dimensional data visualisation techniques are identified in Enterprise 2.0 and Web 2.0 environment. Transactional tagging and linked data are unearthed which is a novel contribution in information visualisation. The visualisation model and system is first realised as a tangible software system, which is then validated through different and large types of data sets in three experiments. The first experiment is based on the large Royal Mail postcode data set. The second experiment is based on a large transactional data set in an enterprise environment while the same data set is processed in a non-enterprise environment. The system interaction facilitated through new mashup techniques enables users to interact more fluently with data and the representation layer. The results are exported into various reusable formats and retrieved for further comparison and analysis purposes. The information visualisation model introduced in this research is a compact process for any size and type of data set which is a major contribution in information visualisation and data analysis. Advanced data representation techniques are employed using various web mashup technologies. New visualisation techniques have emerged from the research such as transactional tagging visualisation and linked data visualisation. The information visualisation model and system is extremely useful in addressing complex data problems with strategies that are easy to interact with and integrate

    User-centred design of neogeography: the impact of volunteered geographic information on users' perceptions of online map ‘mashups’

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    This paper investigates the influence of presenting volunteered and professionally created geographic information to 101 wheelchair users through an interactive website that included information collected by wheelchair-using volunteers. The aim of this experiment was to understand the influence that (1) knowing a map-based website contains volunteered information and (2) actually including volunteered information within an online interactive map (a mashup) have on the perceived trust of the user, described in terms of quality and authority. Analysis using Kruskal–Wallis showed that judgements of currency were influenced by including geo-information from untrained volunteers (volunteered geographic information) within the mashup, but not influenced by the participant being told that the online map contained volunteered information. The participants appeared to make judgements based on what information they saw, rather than what they were told about the source of the information

    Proceedings of the First International Workshop on Mashup Personal Learning Environments

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    Wild, F., Kalz, M., & Palmér, M. (Eds.) (2008). Proceedings of the First International Workshop on Mashup Personal Learning Environments (MUPPLE08). September, 17, 2008, Maastricht, The Netherlands: CEUR Workshop Proceedings, ISSN 1613-0073. Available at http://ceur-ws.org/Vol-388.The work on this publication has been sponsored by the TENCompetence Integrated Project (funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org]) and partly sponsored by the LTfLL project (funded by the European Commission's 7th Framework Programme, priority ISCT. Contract 212578 [http://www.ltfll-project.org
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