-
- 24 MayProf. Kas Oosterhuis lectures at Polypodium (Beirut Design Week)
- 07 MayDr. Nimish Biloria to serve as a Panelist at the Trans-Arch-Edu-03, Izmir, Turkey
- 20 AprDr Nimish Biloria and PhD candidate Jia Rey Chang publish paper on Swarm Scapes in Springer's Lecture Notes in Computer Science
- 20 AprAlex Liu Cheng and Henriette Bier publish paper on An Extended Ambient Intelligence Implementation for Enhanced Human-Space Interaction
- 20 AprTextrinium exhibited at Center for European Textile Innovation (CETI)
- 18 AprDr. Nimish Biloria appointed as the Scientific Committee member for the ACADIA 2016-Posthuman Frontiers conference, USA.
- 13 AprDr.-Ing. Henriette Bier and PhD-cand. Sina Mostafavi speak at 3rd Digital Knowledge Study Day addressing the question Robots and/or Architecture?
- 14 MarSina Mostafavi and Henriette Bier publish paper on D2RP in Springer's Rob|Arch 2016.
- 17 Feb Prof. Kas Oosterhuis will lecture at The Royal Flemmish Academy of Belgium for Science and the Arts on Wednesday 17th February at 14:30
- 01 Feb1-3 February Henriette Bier is distinguished visiting scientist in Digital Ecologies at IMSE
-
-
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/