OGC® Testbed-11 Incorporating Social Media in Emergency Response Engineering Report
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Towards Trust and Friendliness Approaches in the Social Internet of Things
applied sciences Review Towards Trust and Friendliness Approaches in the Social Internet of Things Farhan Amin 1 , Awais Ahmad 2 and Gyu Sang Choi 1,* 1 Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 280, Korea; [email protected] 2 Department of Computer Science, Bahria University, Islamabad 44000, Pakistan; [email protected] * Correspondence: [email protected] Received: 27 November 2018; Accepted: 21 December 2018; Published: 4 January 2019 Abstract: The Internet of Things (IoT) is an interconnected network of heterogeneous entities, such as sensors and embedded devices. During the current era, a new field of research has emerged, referred to as the social IoT, which mainly includes social networking features. The social IoT refers to devices that are capable of creating interactions with each other to independently achieve a common goal. Based on the structure, the support of numerous applications, and networking services, the social IoT is preferred over the traditional IoT. However, aspects like the roles of users and network navigability are major challenges that provoke users’ fears of data disclosure and privacy violations. Thus, it is important to provide reliable data analyses by using trust- and friendliness-based properties. This study was designed because of the limited availability of information in this area. It is a classified catalog of trust- and friendliness-based approaches in the social IoT with important highlights of important constraints, such as scalability, adaptability, and suitable network structures (for instance, human-to-human and human-to-object). In addition, typical concerns like communities of interest and social contacts are discussed in detail, with particular emphasis on friendliness- and trust-based properties, such as service composition, social similarity, and integrated cloud services. -
The Social Roles of Buildings New Series 65
Stockholm Studies in Sociology The Social Roles of Buildings New Series 65 The Social Roles of Buildings An Account of Materiality and Meaning in Urban Outcomes Lauren Dean ©Lauren Dean, Stockholm University 2017 ISBN 978-91-7649-602-2 (Print) ISBN 978-91-7649-603-9 (Digital) ISSN 0491-0885 Printed in Sweden by US-AB, Stockholm 2017 Distributor: Stockholm University Department of Sociology Cover Images by Lauren Dean For Santiago, New York, and Stockholm—the cities that have welcomed me home. Contents List of Illustrations ix I. INTRODUCTION 1 INTENTS 1 PUZZLES 4 BUILDING CONCEPTS 8 FOUNDATIONS 14 METHODOLOGICAL APPROACH 28 THE CASE 34 II: BUILDING URBAN TYPES 43 BUILDING TYPES: NAMES AND FORMS 43 RESIDENTIAL TYPOLOGY 49 URBANIZATION AND SOCIAL PROBLEMS 51 THE FRENCH CONNECTION 58 NAMES 63 URBAN FORMS 66 “WORKERS’ HOUSING” 73 CITÉS IN SANTIAGO 76 III: USES OF SPACE 80 URBAN SPACE AND EVERYDAY USE 80 CONTEMPORARY CITÉS 85 THE PATIO 87 DESCRIPTION OF CONDITIONS 90 DESCRIPTION OF USE 93 COMPARISONS OF USE 97 GATES: EXCLUSION AND EXCLUSIVITY 103 ON PRIVATE COLLECTIVE SPACES 108 BUILDING MEANING 112 IV: REUSE AND NEIGHBORHOOD TRANSFORMATION 114 URBAN NEIGHBORHOOD CHANGE 114 BARRIO ITALIA 118 PUTTING UP A FRONT / MAINTAINING A FACADE 123 NARRATIVE OF NOSTALGIA 128 PATIO REUSE 134 PERFORMING THE PAST 138 REUSE AND CO-TRANSFORMATION 141 CONCLUSION: TOWARDS A SOCIOLOGY OF BUILDINGS 144 ON THE SOCIAL ROLES OF BUILDINGS 144 FORM AND FUNCTION (AND USE) 145 FORM, MEANING, AND DEFINITION 146 NAMES 147 BUILDING METHODS FOR BUILDING THEORY 149 FUTURE RESEARCH 151 Appendix 153 METHODOLOGY: DETAILS, ETHICS, AND CONCERNS 153 SAMMANFATTNING/RESUMEN (TRANSLATED SUMMARIES) 173 ACKNOWLEDGMENTS 175 WORKS CITED 178 List of Illustrations Relationship between Buildings and Society 29 Table of Analytical Levels 33 Cité Floor Plan (model) 35 Urban Block, Santiago (c. -
Data and Service Discovery in Linked SDI and Linked VGI
Data and Service Discovery in Linked SDI and Linked VGI Virtual Workshop on Geospatial Semantic Architectures Todd Pehle May 7, 2013 Chief Engineer tpehle-at-orbistechnologies.com 1 Agenda • Introduce Example OGC Workflow • Describe Analogous Linked Data Workflow: • Geographic Feature Types in Linked SDI/VGI • Data Discovery with GeoVoID • Service Capabilities with GeoSPARQL Service Descriptions • SPARQL-based Feature Collections • Conclusion 2 Example OGC-based GIS Workflow 1. Discover OGC Catalog 2. Search Catalog by Feature Type/BBOX 3. Discover OGC WFS Service 4. GetCapabilities 5. GetFeature 6. DescribeFeatureType 7. Add WFS Layer(s) to Map 8. Get Feature By ID 3 Feature Types in LOD What constitutes a feature type in Linked Data? • Linked Data is described using RDFS and OWL ontologies giving data a formal semantics • Consensus on a “core” intensional semantics for geographic phenomena remains elusive • Option 1: Wait (a long time) for consensus • Option 2: Minimize ontological commitment and apply definitions driven by extensional alignment (i.e. – no core) 4 Common LOD Feature Type Definitions W3C Basic Geo (Linked VGI) OGC GeoSPARQL (Linked SDI) ? SpatialThing SpatialObject ? Feature Geometry Point ns:City Relations = rdfs:subClassOf 5 Dataset Discovery with VoID and DCAT • VoID Capabilities: • General metadata • Structural • Class/property partitions • Linksets • DCAT Capabilities: • Interoperability of Catalogs • Non-RDF Catalogs Source: http://docs.ckan.org/en/latest/geospatial.html • Often stored in data portal like CKAN • Offers BBOX dataset queries • Has extension support for CSW • Flexible discovery via centralized catalogs AND socialized links (VoID Repos, URI backlinks, etc.) 6 Geospatial Data Discovery with GeoVoID Goals: • Enable discovery of geographic feature data and services in LOD via: • Feature Type Discovery • Feature Type Spatial Extents • Dataset Spatial Extents • Thematic Attribution Schema Discovery (maybe) • GeoSPARQL Endpoint Discovery • Reuse and extend existing LOD vocabs vs. -
A Survey of Geospatial Semantic Web for Cultural Heritage
heritage Review A Survey of Geospatial Semantic Web for Cultural Heritage Ikrom Nishanbaev 1,* , Erik Champion 1 and David A. McMeekin 2 1 School of Media, Creative Arts, and Social Inquiry, Curtin University, Perth, WA 6845, Australia; [email protected] 2 School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, Australia; [email protected] * Correspondence: [email protected] Received: 23 April 2019; Accepted: 16 May 2019; Published: 20 May 2019 Abstract: The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. -
A Pilot for Testing the OGC Web Services Integration of Water-Related Information and Models
RiBaSE: A Pilot for Testing the OGC Web Services Integration of Water-related Information and Models Lluís Pesquer Mayos, Simon Jirka, Grumets Research Group CREAF 52°North Initiative for Geospatial Open Source Software Edicifi C, Universitat Autònoma de Barcelona GmbH 08193 Bellaterra, Spain 48155 Münster, Germany [email protected] [email protected] Christoph Stasch, Joan Masó Pau, Grumets Research Group CREAF 52°North Initiative for Geospatial Open Source Software Edicifi C, Universitat Autònoma de Barcelona GmbH Bellaterra, Spain 48155 Münster, Germany [email protected] [email protected] David Arctur, Center for Research in Water Resources, University of Texas at Austin 10100 Burnet Rd Bldg 119, Austin, TX USA [email protected] Abstract—The design of an interoperability experiment to The OGC is an international industry consortium of demonstrate how current ICT-based tools and water data can companies, government agencies and universities participating work in combination with geospatial web services is presented. in a consensus process to develop publicly available interface This solution is being tested in three transboundary river basins: standards. Some successful examples of OGC standards for Scheldt, Maritsa and Severn. The purpose of this experiment is to general spatial purposes are, for example, the Web Map assess the effectiveness of OGC standards for describing status Service (WMS) for providing interoperable pictorial maps and dynamics of surface water in river basins, to demonstrate over the web and the Keyhole Markup Language (KML) as a their applicability and finally to increase awareness of emerging data format for virtual globes. On the other hand, hydrological standards as WaterML 2.0. -