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- 29 MayHyperbody's Robotic Building team leads a workshop on Design to Robotic Production for Continuous Variation at InDeSem 15
- 28 MayDr Nimish Biloria speaker at the Delft Data Science Seminar on "Social Data Science for Workforce Management"
- 19 MayHenriette Bier co-tutored graduation project that received 1st prize Archiprix National and 1st prize Archiprix International
- 19 MayHenriette Bier publishes chapter on Digitally-driven Design and Architetcure in Neighborhood Technologies Media and Mathematics of Dynamic Networks
- 18 MayAchilleas Psyllidis's paper accepted for publication and demonstration at the 24th International World Wide Web Conference (WWW 2015)
- 18 MayDr. Nimish Biloria lectures at the Architecture Week'15 - Beyond Shape event at the University of Lusofona, Lisbon, Portugal
- 15 MayJia-Rey Chang will deliver a talk in Creative Coding Amsterdam 001 "Inhabitants of the Subterranean"
- 12 AprHenriette Bier presents Robotic Building at TEDxDelft Salon's Crossing Bridges event that deals with the theme The Future
- 09 AprDr. Nimish Biloria invited as Speaker at the worldwide Internet of Things (IoT) event at the V2 Institute for the Unstable Media, Rotterdam
- 09 AprDr. Nimish Biloria to deliver a talk at the The 6th Conference of Urban System and Environment (USE) Joint Research Centre between SCUT and TU Delft
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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/