- 14 MarHyperbody presents at RAM/ramfoundation exhibition "T.O.P. UP" opening on the 16th of March 2014
- 08 MarKeynote Lecture by Kas Oosterhuis at the 11th International Convention of Architecture in Budapest
- 28 Febprof. Kas Oosterhuis lectures at MC2014 conference - Grenoble, France
- 27 FebDr. Nimish Biloria appointed as Technical Program Committee member of SEC2014 conference
- 17 FebDr. Nimish Biloria publishes article: Inter-performing morphologies in the Architecture Institute of Korea Magazine
- 07 FebDr.-Ing. Henriette Bier lectures on Robotic Buildings at the Institute of Experimental Architecture, University of Innsbruck, Austria
- 05 FebDr.-Ing. Henriette Bier lectures on Robotics in Architecture at the chair for Building Realisation and Robotics at TUM, Germany
- 04 FebDr.-Ing. Henriette Bier and Ir. Chris Kievid join the Delft Robotics Institute delegation visiting potential Horizon 2020 partners in the Munich area
- 24 JanFinal Review MSc1 Design Studio: 2628CLIMATOR
- 11 JanAchilleas Psyllidis publishes an article in the ATLANTIS Magazine
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.