- 28 JanFinal presentation: Msc1 InfoMatters Design studio
- 21 JanPresentation and exhibition of the Minor 'Interactive Environments' at Science Centre Delft
- 12 JanHyperbody afternoon lecture series: Dr. Bert Bongers from the Faculty of Design, Architecture and Builiding at UTS
- 16 DecLecture Chris Kievid at Reality, Check!, the third event in the V2_AR Ecosystem series
- 29 NovExhibition of the Msc1 Nanjing Workshop (June 2010) at OostSerre at the faculty of Architecture of TU Delft
- 22 NovHyperbody invites you to enroll in the new MSc Program: Non-standard and Interactive Architecture
- 21 NovAccepted paper for FABRICATE Conference 2011 'Investigations in design and fabrication at Hyperbody'
- 12 NovLecture by Kas Oosterhuis at the Institute for Advanced Architecture in Catalonia
- 08 NovLecture Jelle Feringa at Colloquium # 18 Artificial Evolution at the Royal Academy of Art
- 05 NovDr. MarkDavid Hosale presents paper at the iDMAa Conference 2010 at Emily Carr University of Art and Design
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.