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- 24 MarInternational Colloquium: Design-to-Robotic-Production & -Operation (D2RP&O)
- 18 Mar18th of March Henriette Bier and Sina Mostafavi participate in international symposium Les formes du digital at the Centre Pompidou
- 14 MarMarch 14th - June 19th Robotic Building team participates in the exhibition Imprimer le monde at the Centre Pompidou
- 14 Mar14 March 15:00h Lecture by Jose Sanchez: Architecture for the commons
- 14 MarKas Oosterhuis holds masterclass The How and Why of Parametric Design on Tuesday 14 March 16.00h during Design Days Dubai 2017
- 14 MarKas Oosterhuis exhibits his parametric Body Chair at Design Days Dubai 2017 from 14-18 March 2017
- 10 FebDr. Nimish Biloria appointed as Scientific Reviewer for the 2017 eCaaDe conference: Sharing of computable Knowledge, ShoCK!
- 06 FebFibrous Smart Material Topologies project to be exhibited at BouwBeurs 2017.
- 03 FebFriday 3 February 2017 at 9:45 in protoSPACE: Final Presentation MSc 1 Design Studio: Design-to-Robotic-Production (D2RP) for SMART Student Housing
- 24 JanHenriette Bier acts as reviewer for Elsevier Journal Automation in Construction
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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/