- 10 JanNew Research collaboration initiative between HIT and HyperBODY - Review of Prof. Mei's visit at HyperBODY
- 16 DecDr.-Ing. Henriette Bier and Phd-cand. Yeekee Ku publish paper on Generative and Participatory Parametric Frameworks for Multi-player Design Games
- 12 DecJia-Rey Chang's paper accepted for Ultra Bio- International Design Conference
- 11 DecProf. ir. Kas Oosterhuis and Dr.-Ing. Henriette Bier join the scientific committee of the ArchiDoct journal
- 04 DecProject proposal of Alireza Hakak accepted by VISIONAIR and he is invited to the Milan facility
- 28 NovTiny Apartment, Hyperbody MSc2 students present 1:1 prototypes in Rotterdam
- 14 NovHyperbody participates in METABODY 2nd EVENT, 14-18th November 2013, Dresden
- 06 Novprof. Kas Oosterhuis will lecture at CCDP, University of Technology, Sydney.
- 10 OctLecture on Environmental evaluation and Optimization by Mostapha Roudsari
- 09 OctKas Oosterhuis lectures 9 Oct 2013 at FEADship
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.