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- 10 DecProf. Kas Oosterhuis lectures at Doha Architecture Forum
- 03 DecAchilleas Psyllidis participates in the Collaborative Innovation Center on Big Data Science between IBM and TU Delft
- 02 DecAlireza Mahdizadeh Hakak is invited for a talk at the 4th Visionair General Assembly, INRIA Rennes, France
- 22 NovAchilleas Psyllidis and Han Feng participate and present at the Urban Systems and Environment Conference in Guangzhou, China
- 20 NovDr. Nimish Biloria gives an Invited Talk, chairs scientific research sessions and operates as Scientific Committee member at ICONARCH II
- 13 NovSina Mostafavi and Nimish Biloria from Hyperbody with Soungmin Yu from ZHA Published in ACADIA 2014, Design Agency
- 13 NovKas Oosterhuis and Henriette Bier are lecturing and chairing session, respectively, at the international conference CCC co-organized by Hyperbody
- 12 NovHenriette Bier lectures at the International Technology Festival Border Sessions 2014 in The Hague
- 11 NovDr. Nimish Biloria and Hyperbody students, showcase real-time interactive prototypes developed for the EU Project: Metabody at the DIG-it! exhibition
- 11 NovAchilleas Psyllidis from Hyperbody together with researchers from Web Information Systems demonstrate the SocialGlass platform prototype at DIG-it!
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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/