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- 11 NovH. Bier and S. Mostafavi publish journal paper on Data-Driven Architectural Design to Production and Operation in Systema's special issue Architectural Ecologies
- 26 OctRobotic Painting / Machining Emotion project team at Dubai Design Week
- 26 OctJia-Rey Chang published a paper in the New Architecture Journal NO.5: "Digital Techniques and Architectural Evolution"
- 25 OctIn ACADIA 2015 Peer Reviewed Projects, Sina Mostafavi and Henriette Bier published a project on Informed Design to Robotic Production systems.
- 25 OctDr. Nimish Biloria, Jia-Rey Chang and Dieter Vandoren published a paper "Ambiguous Topology" at IEEE VISAP'15 conference, Chicago, USA
- 23 OctHenriette Bier talks at the 3TU symposium Real Additive Manufacturing
- 22 OctNew website "Machining Emotion" is launched by the Robotic Painting project team
- 21 OctAt Dutch Design Week 2015, Sina Mostafavi talks about Creative applications of Design to Robotic Production systems in architectural design and building processes
- 01 OctHyperbody hosts Delft Robotics Institute's monthly RoboCafé on "Pro-active Robotics"
- 25 SepSocialGlass is featured on NRCQ, the leading business news site in the Netherlands
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Place: Godsbanen (Skovgaardsgade 3H, 8000 Aarhus C), Aarhus, Denmark
Time: April 4, 9-17 CET
From Big Data to Linked Data:
Extracting and Interlinking Knowledge Patterns about the City via Semantic Participatory Platforms
The proliferation of sensor and actuator networks in the urban environment is directly associated with an increasing volume of data, with regard to to various aspects of the city. Synchronously, the heterogeneity of data formats, sensory observations, measuring capabilities and accompanying contextual information is substantially growing. Yet, besides this increasing diversification, the present-day sensing and actuation mechanisms become to a great extent web-enabled, departing from small-scale local networks. In other words, the devices collaborate not only by exchanging data among themselves, but also by communicating their observations over the Internet. Aggregating immense amounts of data feeds from different networks is not necessarily sufficient for providing a better understanding about the processes taking place in the city. Instead, it is essential to extract knowledge patterns, correlated and integrated in meaningful stories about the urban environment.
In light of this new dimension of reality, this paper investigates mechanisms to mitigate the abundance of information and derive essential knowledge about the city, stemming from heterogeneous sensor networks. It specifically exemplifies various urban sensing methodologies that employ not only technical devices, but also human agents. By weaving together the diverse source measurements and observations, while tackling the syntactic and semantic discrepancies, we aim to depart from the mere notion of Big Data to that of Linked Data. The goal subsequently is to facilitate the creation of applications that address multiple aspects of the city and allow for collective decision-making, even in real-time. In this regard, Semantic Web technologies in association with sensor networks can play a key role, pertaining to the interoperability between diverse data models and the acquisition of knowledge patterns about urban dynamics.
http://pit.au.dk/news-events/events/upcoming-events/research-workshop-smart-cities-and-big-data/