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- 16 NovHenriette Bier acts as member of the scientific committee of Oxford Journal Interacting with Computers
- 16 NovA. Liu Cheng and H. Bier publish paper on Adaptive Building-Skin Components as Context-Aware Nodes in an Extended Cyber-Physical Network for IEEE World Forum on Internet of Things 2016
- 04 NovTiantian Du and Nimish Biloria hosted the workshop "Transitional Space Design and the Concept of Architectural Thermodynamics"
- 04 NovHenriette Bier appointed as member of the scientific committee of IJAC journal
- 18 OctDr. Nimish Biloria appointed as Scientific Committee member for the CAAD Futures 2017 Conference: Future Trajectories of Computation in Design
- 23 SepHenriette Bier appointed as member of the scientific committee of CAAD Futures 2017: Future Trajectories of Computation in Design
- 23 SepHenriette Bier certified reviewer of Elsevier's Journal of Materials and Design
- 23 SepProf. Kas Oosterhuis speaker at MakeHappen! Inspiration Day 2016
- 16 SepHyperbody graduate students Ralph Cloot and Arwin Hidding in collaboration with Sina Mostafavi and supervised by Kas Oosterhuis design a building for Neurotopia
- 15 SepDr. Nimish Biloria has been appointed as Associate Partner for the LASG (Living Architecture Systems Group), University of Waterloo, Canada
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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/