A
Alessandra Mileo
Researcher at Dublin City University
Publications - 76
Citations - 1351
Alessandra Mileo is an academic researcher from Dublin City University. The author has contributed to research in topics: Answer set programming & Logic programming. The author has an hindex of 18, co-authored 71 publications receiving 1182 citations. Previous affiliations of Alessandra Mileo include University of Milan & National University of Ireland, Galway.
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Journal ArticleDOI
CityPulse: Large Scale Data Analytics Framework for Smart Cities
Dan Puiu,Payam Barnaghi,Ralf Tönjes,Daniel Kumper,Muhammad Intizar Ali,Alessandra Mileo,Josiane Xavier Parreira,Marten Fischer,Sefki Kolozali,Nazli Farajidavar,Feng Gao,Thorben Iggena,Thu-Le Pham,Cosmin-Septimiu Nechifor,Daniel Puschmann,João Paulo Fernandes +15 more
TL;DR: The CityPulse framework supports smart city service creation by means of a distributed system for semantic discovery, data analytics, and interpretation of large-scale (near-)real-time Internet of Things data and social media data streams to break away from silo applications and enable cross-domain data integration.
Book ChapterDOI
CityBench: A Configurable Benchmark to Evaluate RSP Engines Using Smart City Datasets
TL;DR: Performance, correctness and technical soundness of few existing RSP engines have been evaluated in controlled settings using existing benchmarks like LSBench and SRBench, but these benchmarks focus merely on features of the RSP query languages and engines and do not consider dynamic application requirements and data-dependent properties.
Semantic Modelling of Smart City Data
Stefan Bischof,Athanasios Karapantelakis,Cosmin-Septimiu Nechifor,Amit P. Sheth,Alessandra Mileo,Payam Barnaghi +5 more
TL;DR: Examples of data that can be collected from cities are presented, issues around this data are discussed, and some preliminary thoughts for creating a semantic description model to describe and help discover, index and query smart city data are put forward.
Proceedings ArticleDOI
Using linked data to mine RDF from wikipedia's tables
TL;DR: This work uses an existing Linked Data knowledge-base to find pre-existing relations between entities in Wikipedia tables, suggesting the same relations as holding for other entities in analogous columns on different rows, and extracts RDF triples from Wikipedia's tables at a raw precision of 40%.
Journal ArticleDOI
Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams
Sefki Kolozali,Maria Bermudez-Edo,Nazli Farajidavar,Payam Barnaghi,Feng Gao,Muhammad Intizar Ali,Alessandra Mileo,Marten Fischer,Thorben Iggena,Daniel Kuemper,Ralf Tönjes +10 more
TL;DR: This work proposes a novel framework with an efficient semantic data processing pipeline, allowing for real-time observation of the pulse of a city and investigates the optimization of the semantic data discovery and integration based on the proposed stream quality analysis and data aggregation techniques.