-
- 23 OctDr. Nimish Biloria interviewed by CNN International and Fast Company
- 15 OctDr. Nimish Biloria gives a key note lecture at the ArcIntex Conference: Shaping (un)common grounds at TU Eindhoven, The Netherlands.
- 13 OctMedia Studies Lecture Series:Tim Geurtjens from Joris Laarman Lab lectures at Protospace
- 26 SepAchilleas Psyllidis and a group of Researchers from Web Information Systems & Delft Data Science are participating in New Horizons Festival
- 17 SepABB and Hyperbody are setting up collaboration scenarios on robotics in architecture
- 09 SepMSc2 student projects Reflectego & RoboZoo featured at METABODY annual meeting in Madrid
- 09 SepAmbiguous Topology performance featured at METABODY annual meeting in Madrid
- 08 SepSina Mostafavi and Matthew Tanti publish and present in eCAADe2014(NCC, UK): DESIGN TO FABRICATION INTEGRATION AND MATERIAL CRAFTSMANSHIP
- 04 SepKas Oosterhuis and Henriette Bier lecture and chair session, respectively, at the What's the Matter conference in Barcelona.
- 09 JulDr. Henriette Bier and PhD cand. Jia-Rey Chang publish papers in the 3rd issue of Archidoct
-
-
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/