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- 28 MarHyperbody designs a SynSerre (Synergetic Greenhouse)
- 23 Marguest researcher Ismael Quevedo Medina joins hyperBODY
- 21 MarMarco Verde lecturing at AA Visiting School in Paris
- 18 MarBook launch presentation: Towards a New Kind of Building - A Designers' Guide for Non-Standard Architecture
- 17 MarInteractive Workshop with Prof. Antonino Saggio and Hyperbody
- 09 MarMinor project ‘Linked’ shortlisted project for 3rd International Competition TRIMO URBAN CRASH
- 03 MarLecture by Kas Oosterhuis - New Kind of Building
- 25 FebQuantum Point Cloud Workshop - Spring 2011: Feb 25th - March 15th
- 17 FebProf Kas Oosterhuis entry for the 2011 Buckminster Fuller Challenge: QuantumBIM
- 16 FebSilver DDC Award 2011 for InteractiveWall
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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/