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CLODA: A Crowdsourced Linked Open Data Architecture
Found in: 2013 14th IEEE International Conference on Mobile Data Management (MDM)
By Georgios Larkou,Julia Metochi,Georgios Chatzimilioudis,Demetrios Zeinalipour-Yazti
Issue Date:June 2013
pp. 104-109
In this paper we present our Crowdsourced Linked Open Data Architecture (CLODA), a first attempt to combine crowdsourcing, localization and location-based services to generate, collect, validate and relate real-world, geo-spatial and multi-dimensional info...
 
Crowdsourcing for Mobile Data Management
Found in: 2013 14th IEEE International Conference on Mobile Data Management (MDM)
By Georgios Chatzimilioudis,Demetrios Zeinalipour-Yazti
Issue Date:June 2013
pp. 3-4
Crowdsourcing refers to a distributed problemsolving model in which a crowd of undefined size is engaged in the task of solving a complex problem through an open call. This novel problem-solving model found its way into numerous applications on the web for...
 
Crowdsourcing with Smartphones
Found in: IEEE Internet Computing
By Georgios Chatzimilioudis,Andreas Konstantinidis,Christos Laoudias,Demetrios Zeinalipour-Yazti
Issue Date:September 2012
pp. 36-44
Smartphones can reveal crowdsourcing's full potential and let users transparently contribute to complex and novel problem solving. This emerging area is illustrated through a taxonomy that classifies the mobile crowdsourcing field and through three new app...
 
Continuous All k-Nearest-Neighbor Querying in Smartphone Networks
Found in: 2012 13th IEEE International Conference on Mobile Data Management (MDM)
By Georgios Chatzimilioudis,Demetrios Zeinalipour-Yazti,Wang-Chien Lee,Marios D. Dikaiakos
Issue Date:July 2012
pp. 79-88
Consider a centralized query operator that identifies to every smart phone user its k geographically nearest neighbors at all times, a query we coin Continuous All k-Nearest Neighbor (CAkNN). Such an operator could be utilized to enhance public emergency s...
 
Optimizing Query Routing Trees in Wireless Sensor Networks
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Georgios Chatzimilioudis, Alfredo Cuzzocrea, Dimitrios Gunopulos
Issue Date:October 2010
pp. 315-322
The focus of this work is to adaptively optimize continuous queries in a wireless sensor network. Therefore, we analyze and categorize the different types of queries used by wireless sensor applications. We present a short survey on the existing algorithms...
 
A Distributed Technique for Dynamic Operator Placement in Wireless Sensor Networks
Found in: Mobile Data Management, IEEE International Conference on
By Georgios Chatzimilioudis, Nikos Mamoulis, Dimitrios Gunopulos
Issue Date:May 2010
pp. 167-176
We present an optimal distributed algorithm to adapt the placement of a single operator in high communication cost networks, such as a wireless sensor network. Our parameter-free algorithm finds the optimal node to host the operator with minimum communicat...
 
Operator Placement for Snapshot Multi-predicate Queries in Wireless Sensor Networks
Found in: Mobile Data Management, IEEE International Conference on
By Georgios Chatzimilioudis, Huseyin Hakkoymaz, Nikos Mamoulis, Dimitrios Gunopulos
Issue Date:May 2009
pp. 21-30
This work aims at minimize the cost of answering snapshot multi-predicate queries in high-communication-cost networks. High-communication-cost (HCC) networks is a family of networks where communicating data is very demanding in resources, for example in wi...
 
Minimum-hot-spot query trees for wireless sensor networks
Found in: Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access (MobiDE '10)
By Demetrios Zeinalipour-Yazti, Dimitrios Gunopulos, Georgios Chatzimilioudis
Issue Date:June 2010
pp. 33-40
We propose a distributed algorithm to construct a balanced communication tree that serves in gathering data from the network nodes to a sink. Our algorithm constructs a near-optimally balanced communication tree with minimum overhead. The balancing of the ...
     
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