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A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring
[article]
2021
arXiv
pre-print
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With weather becoming more extreme both in terms of longer dry periods and more severe rain events, municipal water networks are increasingly under pressure. ...
The entire code for deploying our platform and running the data enrichment jobs is made publicly available with this paper. ...
Data Enrichment An important processing step that applies to all considered use cases is data enrichment, i.e. the augmentation of the received sensor data with additional information. ...
arXiv:2012.00400v2
fatcat:5iq7v7hhbnejtkttd2rsm64azq
Social Media Alert and Response to Threats to Citizens
2012
Proceedings of the 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing
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These components include mechanisms to model event level semantic information, a platform for implementing multi-sensor fusion, mechanisms for estimating the veracity of information, data cleaning to reduce ...
Social media, such as blogs, Twitter, and information portals, have emerged as the dominant communication mechanism of society. ...
Their contributions to the concept, design, and architecture of Smart-C are gratefully acknowledged. ...
doi:10.4108/icst.collaboratecom.2012.250713
dblp:conf/colcom/AdamEMV12
fatcat:zhcioeeclrc63bhdu2lmwjvxuu
Online Event Recognition from Moving Vehicles: Application Paper
2019
Theory and Practice of Logic Programming
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Our system employs a data enrichment module, augmenting the mobility data with external information, such as weather data and proximity to points of interest. ...
In addition, the composite event recognition module, based on a highly optimised logic programming implementation of the Event Calculus, consumes the enriched data and identifies activities that are beneficial ...
Acknowledgments This work was funded by European Union's Horizon 2020 research and innovation programme Track & Know "Big Data for Mobility Tracking Knowledge Extraction in Urban Areas", under grant agreement ...
doi:10.1017/s147106841900022x
fatcat:ap2mbn4rubfa3cyqdcr5x2dqnq
BIG MOBILITY DATA ANALYTICS FOR TRAFFIC MONITORING AND CONTROL
2020
Facta Universitatis Series Automatic Control and Robotics
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Recent advances and wide proliferation of mobile and Internet of Things (IoT) devices, carried by people, built in vehicles and integrated in a road infrastructure, enable collection of large scale data ...
With the overpopulation of large cities, the problems with citizens' mobility, transport inefficiency, traffic congestions and environmental pollution caused by the heavy traffic require advanced ITS solutions ...
Such data can be enriched and correlated with external and environmental data sources collected within a Smart City infrastructure (weather conditions, environment pollution/noise, temperature, city events ...
doi:10.22190/fuacr2002087s
fatcat:dsud4exf3zedlnh6hea6dcv3lu
Towards a semantic web of things framework
2019
IAES International Journal of Artificial Intelligence (IJ-AI)
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In this context, the SWoT (Semantic Web of Things) uses semantic Web technologies to enrich these devices and services with semantic annotations which enables the semantic interoperability. ...
However, the development of SWOT-based systems on a large scale faces many challenges especially due to the large number of devices and services, their geographical distribution as well as their mobility ...
Besides, different SWoT frameworks have been designed to enrich real-world objects with semantic annotations and inference [12] [13] . ...
doi:10.11591/ijai.v8.i4.pp443-450
fatcat:hlooro25dvdkndedbpzrl33zby
Big data integration for transition from e-learning to smart learning framework
2016
2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC)
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Also, it showcases how data can be used to enrich the learning process. ...
This includes learning applications, which require to manage huge and mixed volumes of information coming from Web and social media, smart-cities and Internet of Things nodes. ...
JSON representation of data provided by a weather station.
is with National Research Council of Italy, Genoa, Italy (email:luca.caviglione@cnr.it). M. ...
doi:10.1109/icbdsc.2016.7460379
fatcat:b2csbml7djbmdnocv2na35oaci
European Surveillance Systems: Technological and Threat Assessment
2016
International Journal of Intelligent Computing Research
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Modern European societies face growing terrorism threats alongside with other criminal activities and security incidents. ...
The primary objective of this paper is to conduct firstly a cyber-threat assessment of now-days surveillance systems and secondly to concretely assess specific systems developed in various research projects ...
Usage Capabilities: This new platform enhanced with information from data service providers led to a continuous and all weather coverage of the European sea borders, acting mainly to the open sea. 4. ...
doi:10.20533/ijicr.2042.4655.2016.0095
fatcat:5gcvszfky5bmhlftedl4imay5y
Big Data heralds new era for time-critical mobility forecasting and situation awareness - Adding significant value to real-time tracking and forecasting mobility
2017
Zenodo
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Professor George Vouros, from the Department of Digital Systems, University of Piraeus, is leadingdatAcron, a collaborative research and innovation project that is introducing novel methods to operations ...
at sea and air, for large numbers of vessels operating in large geographical areas ...
provision of integrated views of streaming data with archival data expressing entities' characteristics, geographical information, patterns of mobility in specific areas, regulations, planned routes, ...
doi:10.5281/zenodo.2560135
fatcat:5pf27tfpbbgfjl6mxv4fxqaeda
Connected Closet - A Semantically Enriched Mobile Recommender System for Smart Closets
2017
Proceedings of the 13th International Conference on Web Information Systems and Technologies
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In this paper, we present Connected Closet, a semantically enriched Internet of Things solution of a smart closet with a corresponding mobile application for recommending daily outfits and suggesting garments ...
Moreover, with the system's recycling suggestions, the system can be beneficial for the sustainability of the environment and the economy. ...
ACKNOWLEDGEMENTS This work is composed by a research cooperation that was established subsequently of a summer internship at Accenture, where the idea and the first prototype of Connected Closet originally ...
doi:10.5220/0006298002980305
dblp:conf/webist/KolstadOGL17
fatcat:zq7wihyawnamjmfc64hkvhmroe
A large-scale spatio-temporal data analytics system for wildfire risk management
2017
Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data - GeoRich '17
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However, this requires accessing and processing large amounts of spatial and temporal data from a number of sources in near real-time, while ensuring the immediate availability of risk measurement results ...
In this paper, we describe a large-scale data-driven system for personalized risk mitigation, fire response's resource optimization and dynamic evacuation planning. ...
Therefore, there is an ongoing need to educate, inform and find new ways of sharing local information with these communities. ...
doi:10.1145/3080546.3080549
dblp:conf/sigmod/WangVSRRP17
fatcat:guty2c6cabbfxg46jbll23ltr4
The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces
[article]
2018
arXiv
pre-print
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As part of this project the Common Vehicle Information Model (CVIM) as harmonized data model has been developed. ...
In the past years, connectivity has been introduced in automotive production series, enabling vehicles as highly mobile Internet of Things sensors and participants. ...
ACKNOWLEDGMENT This work has been conducted within the AutoMat (Automotive Big Data Marketplace for Innovative Cross-sectorial Vehicle Data Services) project, which received funding from the European Union's ...
arXiv:1805.05467v1
fatcat:tgnez522jvb5nnodfbbhsxrywe
Mobile Architecture for Dynamic Generation and Scalable Distribution of Sensor-Based Applications
[chapter]
2012
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Cloud • Mobile Device (MD): Is the principal entity of the system, interacting with external sensors to collect data, exchanging them with the cloud and allowing user to enter extra information. • The ...
Users can query the network and collect data from any location in sensor network. • User interaction may contribute to enhance the quality and effectiveness of the application enriching collected data ...
doi:10.1007/978-3-642-30607-5_20
fatcat:l2zx7gauovfppc5jvakxe42opq
A Semantic Engine for Internet of Things: Cloud, Mobile Devices and Gateways
2015
2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing
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As proof of concepts, we discuss deployment of the proposed semantic engine at cloud systems and mobile devices. ...
Recent works underline future challenges for IoT: (1) integrate semantic web technologies, (2) provide interoperability, (3) interpret IoT data, (4) ease the development of IoT applications, and (5) fit ...
This work is supported by the Com4Innov Platform of Pole SCS 3 and DataTweet 4 (ANR-13-INFR-0008). ...
doi:10.1109/imis.2015.83
dblp:conf/imis/GyrardDBB15
fatcat:b4c63f3agnf7vf7zya6tz6zzoq
Introducing IYOUIT
[chapter]
2008
Lecture Notes in Computer Science
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We present IYOUIT, a prototype service to pioneer a context-aware mobile digital lifestyle and its reflection on the Web. ...
Networked components map quantitative sensor data to qualitative abstractions represented in formal ontologies. ...
of Web 2.0. ...
doi:10.1007/978-3-540-88564-1_52
fatcat:cnnyvyep6ne6zdsdnujm7fcvue
LimeDS and the TraPIST Project: A Case Study - An OSGi-based Ontology-enabled Framework Targeted at Developers in Need of an Agile Solution for Building REST/JSON-based Server Applications
2015
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
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In this paper we present the LimeDS framework, allowing application developers to rapidly define data workflows from a variety of data sources, deploy these workflows in a scalable and resilient manner ...
by semantically enriching the data into knowledge, checking for ontological consistency and reason over the resulting knowledge. ...
Companies and organisations involved in the project are Televic Rail, Be-Mobile, Digitopia, NMBS/SNCB and TreinTramBus, with project support of IWT. ...
doi:10.5220/0005614305010508
dblp:conf/ic3k/VerstichelKDVOT15
fatcat:j25usypmhbd4bd5xjzehsu3ria
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