IoT Observatory
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The document discusses the challenges faced by the IoT Observatory at the University of Southampton, focusing on infrastructure, data privacy, and access control among diverse stakeholders. It outlines ongoing efforts to improve data discovery through centralized and distributed searches and emphasizes the need for easy-to-use web interfaces for managing data access and permissions. The initiative aims to enhance real-time analytics and support data-driven applications while ensuring the protection of sensitive information.
IoT Observatory
- 1. IoT Observatory: Infrastructure & Technical Challenges University of Southampton
- 2. IoT Observatory Visualisations Historical Dcat Apps Metadata Datasets/ Streams Efficient Translation Schema.org Real-time Analytics People/ Communities C4: Support Analytics C3: Diverse Stakeholders C1: Data Discovery & Heterogeneity C2: Data Privacy & Access Engagement 4Cs – Four Challenges for IoT Observatory • Inspired by the Web Observatory initiative of Web Science Trust1 1. http://www.webscience.org
- 3. C1: Data Discovery • At present: Centralized search across Observatory sites • http://search.webobservatory.org/ • Using metadata (schema.org) and datasets • IoT datasets description – Hypercat • Moving towards: Distributed search reaching lightweight computers/base stations <html prefix="dct: http://purl.org/dc/terms/"> <body> <div typeof="dct:Dataset" resource="{url}"> ... </div> </body> </html>
- 4. C2/C3: Data Privacy & Diverse Stakeholders • Adopting reverse proxy and URL obfuscating technologies to protect private and sensitive data • Data Publisher controls – location, visibility & access of datasets
- 5. C2/C3: Access Control & Diverse Stakeholders 1. Present IoT Observatory - distinguishes b/w metadata and content 1. Working towards – Easy-to-use Web interface for Access Control • Granularity - IoT datasets, meta-data, aggregations & correlations • Entities- Data owner(s), publisher(s), device(s) • Data owners/Publishers – able to evaluate trade-offs, permit & restrict data processing/usage – Implement data sharing negotiations with the stakeholders
- 6. 06-11-2016 SOCM Workshop 2016 6 Dataset 1 Dataset 2 Dataset 3 Data Harmonization Spatio-temporal filter(s) Aggregation(s) Visualization(s) App 1 App 2 App 3 Distributed Datastores Applications Observlet Inventory Madaan, Aastha et al. “Observlets: Empowering Analytical Observations on Web Observatory.”, SOCM’16, WWW (2016). • Fine granularity data processing control C2/C3: Access Control & Diverse Stakeholders (1)
- 7. C4: Support for Analytics ● Built-in smart API for building data-driven applications
- 8. Follow us: @wo_team Contact us: hello@webobservatory.org