Open Data Exposed
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| Author | : Bastiaan van Loenen |
| Publisher | : Springer |
| Total Pages | : 299 |
| Release | : 2018-10-25 |
| Genre | : Law |
| ISBN | : 9462652619 |
The main objectives of this book are to expose key aspects that have a relevance when dealing with open data viewed from different perspectives and to provide appealing examples of how open data is implemented worldwide. The concept of open data as we know it today is the result of many different initiatives, both of a legislative and non-legislative nature, and promoted by a wide range of actors. Numerous regulatory antecedents to foster the concept of open data and embed it in national and international policy agendas have been undertaken on both sides of the Atlantic, as well as at a supranational level. The book highlights a number of the efforts made to promote open data in Europe, Asia and the United States. In addition to new insights, practical guidance and multiple disciplinary perspectives on open data, the book also addresses the transformation of current developments towards open data, which may be referred to as the democratisation of data. This book will support open data practitioners as well as open data scholars in their endeavours to promote open data implementation and research. Bastiaan van Loenen is associate professor and director of the Knowledge Centre Open Data at the Faculty of Architecture and The Built Environment of Delft University of Technology in the Netherlands, as is Glenn Vancauwenberghe, who is a post-doctoral researcher, and Joep Crompvoets is a professor at the Public Governance Institute of the KU Leuven in Belgium.
| Author | : Nathan Coyle |
| Publisher | : CRC Press |
| Total Pages | : 188 |
| Release | : 2024-06-14 |
| Genre | : Computers |
| ISBN | : 1040037283 |
What if I told you something that could empower our third sector and activists to enhance their capacity? From gathering evidence for funding tenders to campaigning for crucial social issues and much more? It's called open data, yet many in social action remain unaware of it. Primarily shaped by corporate entities, open data seems tailored only for technologists, alienating the third sector. But in reality, it's a powerful tool for social change, bolstering civil society, and creating resilient communities. This book argues a simple point: if open data and the digital aspects that support it aren't accessible to all, then what is the point of it? In an age where technology should be seen as a fundamental human right, it's time to rethink outreach. Deeply rooted in grassroots social activism, this book explores a journey that led to collaborations with governments globally, based on real hands-on work, aiming to democratize open data. Through narrative storytelling, we share insights, best practices, procedures, and community-driven approaches. Regardless of your skill set or organization size, from grassroots workers to third-sector professionals and government officers, join us to reshape the perception of open data, fostering change in neighborhoods. Open Data for Everybody: Using Open Data for Social Good is a love letter to open data's transformative power. To create solutions, understanding the problem is crucial. This book seeks to return control to the real experts—those living and working within our communities.
| Author | : Anne Laurent |
| Publisher | : Springer |
| Total Pages | : 636 |
| Release | : 2014-07-17 |
| Genre | : Computers |
| ISBN | : 3319087959 |
These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.
| Author | : Amanda Clarke |
| Publisher | : UBC Press |
| Total Pages | : 312 |
| Release | : 2019-02-15 |
| Genre | : Political Science |
| ISBN | : 0774836954 |
Opening the Government of Canada presents a compelling case for the importance of a more open model of governance in the digital age – but a model that also continues to uphold democratic principles at the heart of the Westminster system. Drawing on interviews with public officials and extensive analysis of government documents and social media accounts, Clarke details the untold story of the Canadian federal bureaucracy’s efforts to adapt to new digital pressures from the mid-2000s onward. This book argues that the bureaucracy’s tradition of closed government, fuelled by today’s antagonistic political communications culture, is at odds with evolving citizen expectations and new digital policy tools, including social media, crowdsourcing, and open data. Striking a balance between reform and tradition, Opening the Government of Canada concludes with a series of pragmatic recommendations that lay out a roadmap for building a democratically robust, digital-era federal government.
| Author | : Witold Abramowicz |
| Publisher | : Springer |
| Total Pages | : 355 |
| Release | : 2015-06-15 |
| Genre | : Computers |
| ISBN | : 331919027X |
This book contains the refereed proceedings of the 18th International Conference on Business Information Systems, BIS 2015, held in Poznań, Poland, in June 2015. The BIS conference series follows trends in academic and business research; thus, the theme of the BIS 2015 conference was “Making Big Data Smarter.” Big data is now a fairly mature concept, recognized and widely used by professionals in both research and industry. Together, they work on developing more adequate and efficient tools for data processing and analyzing, thus turning "big data" into "smart data." The 26 revised full papers were carefully reviewed and selected from 70 submissions. In addition, two invited papers are included in this book. They are grouped into sections on big and smart data, semantic technologies, content retrieval and filtering, business process management and mining, collaboration, enterprise architecture and business−IT alignment, specific BIS applications, and open data for BIS.
| Author | : Nikos Manouselis |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 309 |
| Release | : 2014-04-12 |
| Genre | : Computers |
| ISBN | : 1493905309 |
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years. Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices. Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
| Author | : Liz Carolan |
| Publisher | : International Institute for Democracy and Electoral Assistance (International IDEA) |
| Total Pages | : 62 |
| Release | : 2017-03-17 |
| Genre | : Political Science |
| ISBN | : 9176710971 |
The concept of open data is based on the idea that data should be freely available for anyone to access, use and share. In recent years, the concept has taken root as an increasingly accepted practice for public and government produced data, with data seen as a public good, and data infrastructure as the key to accessing it. Publishing election data as open data has numerous benefits: it provides civil society, citizen journalists, electoral observers and citizens access to the same detailed information that was previously only available to selected stakeholders such as large media outlets. In doing so, open data allows all interested stakeholders to follow and understand the electoral process and can enable more inclusive, transparent and trusted elections. In spite of the potential benefits of open data, election data is often not available in government open-data platforms and election data that is published often does not comply with open-data principles. The aim of this publication is to encourage electoral management bodies to increase the application of open-data principles. It provides guidance for improving the practice of data publication towards a more open approach.
| Author | : Fabio Leuzzi |
| Publisher | : Springer |
| Total Pages | : 161 |
| Release | : 2018-03-21 |
| Genre | : Computers |
| ISBN | : 3319756087 |
This book presents high-quality original contributions on the development of automatic traffic analysis systems that are able to not only anticipate traffic scenarios, but also understand the behavior of road users (vehicles, bikes, trucks, etc.) in order to provide better traffic management, prevent accidents and, potentially, identify criminal behaviors. Topics also include traffic surveillance and vehicle accident analysis using formal concept analysis, convolutional and recurrent neural networks, unsupervised learning and process mining. The content is based on papers presented at the 1st Italian Conference for the Traffic Police (TRAP), which was held in Rome in October 2017. This conference represents a targeted response to the challenges facing the police in connection with managing massive traffic data, finding patterns from historical datasets, and analyzing complex traffic phenomena in order to anticipate potential criminal behaviors. The book will appeal to researchers, practitioners and decision makers interested in traffic monitoring and analysis, traffic modeling and simulation, mobility and social data mining, as well as members of the police.
| Author | : Eunika Mercier-Laurent |
| Publisher | : Springer |
| Total Pages | : 199 |
| Release | : 2014-05-23 |
| Genre | : Computers |
| ISBN | : 3642548970 |
This book features a selection of papers presented at the First IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2012, held in Montpellier, France, in August 2012, in conjunction with the 20th European Conference on Artificial Intelligence, ECAI 2012. The 11 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management.
| Author | : Leonard Barolli |
| Publisher | : Springer |
| Total Pages | : 1024 |
| Release | : 2018-08-27 |
| Genre | : Technology & Engineering |
| ISBN | : 3319985302 |
This book presents the latest research findings and innovative theoretical and practical research methods and development techniques related to the emerging areas of information networking and their applications. Today’s networks and information systems are evolving rapidly, and there are several new trends and applications, such as wireless sensor networks, ad hoc networks, peer-to-peer systems, vehicular networks, opportunistic networks, grid and cloud computing, pervasive and ubiquitous computing, multimedia systems, security, multi-agent systems, high-speed networks, and web-based systems. These networks have to deal with the increasing number of users, provide support for different services, guarantee the QoS, and optimize the network resources, and as such there are numerous research issues and challenges that need to be considered and addressed.
