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Plan-Based Semantic Enrichment of Event Streams
[chapter]
2014
Lecture Notes in Computer Science
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In this paper, we present an efficient technique for event stream enrichment by planning multi-step event enrichment and processing. ...
The event enrichment is optimized to avoid unnecessary event stream enrichment without missing any complex events of interest. ...
We propose an approach for knowledge-based event processing using semantic enrichment of event streams (section 2). ...
doi:10.1007/978-3-319-07443-6_3
fatcat:yi2nyjg3gjg6veudgoh2ctrwni
A Model to Harness Heterogeneous Data for Urban Traffic Services
2019
DEStech Transactions on Computer Science and Engineering
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A prototype system has been built, which works with real-time, heterogeneous data stream including basic traffic data, planned road works, dynamically events, inclement weather or unplanned street closures ...
The test result illustrates the feasibility of use proposed model in urban traffic control. ...
Acknowledgement This research was financially supported by Accenture, LLP, in research using multi-agent system (MAS) in Knowledge Graph to abstract business value out of large operational organization ...
doi:10.12783/dtcse/iteee2019/28759
fatcat:ppcbtttlovdepdawbvezg6june
Query for Streaming Information
2018
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
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among RDF stream tuples and the effective, scalable implementation of RDF stream processing system. ...
While existing works focusing on formalization and implementation of continuous querying process over RDF streams, little attention has deserved the problem of querying the complex temporal correlations ...
The rules to be used for enriching RDF streams depends on the dynamic query execution plan. ...
doi:10.1145/3184558.3186573
dblp:conf/www/Yang18
fatcat:kbmetcv2lfdjleyexajgzvgopi
Smart traffic analytics in the semantic web with STAR-CITY: Scenarios, system and lessons learned in Dublin City
2014
Journal of Web Semantics
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all supporting efficient urban planning. ...
This paper highlights the lessons learned from deploying and using a system in Dublin City based on Semantic Web technologies. ...
STAR-CITY exploits the DL-based semantics of streams to tackle these challenges. ...
doi:10.1016/j.websem.2014.07.002
fatcat:bkpazghj7veajdtcvvpjeg7y5m
Smart Traffic Analytics in the Semantic Web with Star-City: Scenarios, System and Lessons Learned in Dublin City
2014
Social Science Research Network
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all supporting efficient urban planning. ...
This paper highlights the lessons learned from deploying and using a system in Dublin City based on Semantic Web technologies. ...
STAR-CITY exploits the DL-based semantics of streams to tackle these challenges. ...
doi:10.2139/ssrn.3199106
fatcat:ylobj6imo5btpjzvdne4hlo75m
Evaluation of IoT stream processing at edge computing layer for semantic data enrichment
2019
Future generations computer systems
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Acknowledgements Fatos Xhafa's work is supported by Spanish Ministry of Science, Innovation and Universities, Programme "Estancias de profesores e investigadores sénior en centros extranjeros, incluido ...
In our future work we plan to extend the deployment of the system by adding a rule-based reasoning layer to detect complex events from semantically enriched data and support an Event-Condition-Action ( ...
Semantic Data Enrichment Semantic data enrichment is one of the plausible tasks to be offloaded to Edge computing. ...
doi:10.1016/j.future.2019.12.031
fatcat:arjxlw2np5eq3h237vwdvwdfwy
A Platform for Urban Analytics and Semantic Data Integration in City Planning
[chapter]
2015
Communications in Computer and Information Science
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This paper presents a novel web-based platform that supports the analysis, integration, and visualization of large-scale and heterogeneous urban data, with application to city planning and decision-making ...
The paper further demonstrates an implemented prototype of the platform and its deployment in real-world use cases for monitoring, analyzing, and assessing city-scale events. ...
Owing to an innovative ontology for planning and management, the system enables mapping, and semantic enrichment of urban data from diverse city sectors (e.g. transport, energy, waste, water etc.), in ...
doi:10.1007/978-3-662-47386-3_2
fatcat:vvhtjrhkwfdtfezl7hkywjd6zq
Developing a Software Reference Architecture for Journalistic Knowledge Platforms
2021
European Conference on Software Architecture
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This paper therefore outlines a software reference architecture for digitalization of newsrooms, along with a proof-of-concept of the architecture. ...
A software reference architecture would help by providing a generic blueprint and capturing the tried-and-tested best practices for designing and implementing concrete solutions but, to the best of our ...
We would like to thank past and present research fellows, colleagues and assistants, who together are the true formulas for any of the scientific manuscripts that we have ever written. ...
dblp:conf/ecsa/OcanaO21
fatcat:e2zptt7mhnfmzjwghrqsok2pgi
Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies
[chapter]
2014
Lecture Notes in Computer Science
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Our prototype of semantics-aware prediction, being used and experimented currently by traffic controllers in Dublin City Ireland, works efficiently with real, live and heterogeneous stream data. ...
In particular we present a system which integrates numerous sensors (exposing heterogenous, exogenous and raw data streams such as weather information, road works, city events or incidents) to improve ...
Diagnosis is based on semantic matching of events and a probabilistic model while prediction is based on stream auto-correlation, association mining. ...
doi:10.1007/978-3-319-07443-6_41
fatcat:vsfrzm7vbfgshbydfxfa4k4jla
SEPP: Semantics-Based Management of Fast Data Streams
2014
2014 IEEE 7th International Conference on Service-Oriented Computing and Applications
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In this paper, we propose a semantic model for the management of fast data streams using the concept of Semantic Event Processing Pipelines (SEPP). ...
Increased volume of event streams as well as the demand for more complex real-time analytics require for execution of processing pipelines among heterogeneous event processing engines. ...
[14] introduces a middleware for publishing semantic event streams. This approach requires semantically enriched data streams. ...
doi:10.1109/soca.2014.52
dblp:conf/soca/RiemerSS14
fatcat:fmvyasvabnhpro7ibw2onzplqm
Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams
2017
Future generations computer systems
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2016 pre-print arXiv:1611.00676v1 fatcat:6pyttlkl2vanbc47gd3l5w26pu
event streams from a campus-microgrid IoT deployment. ...
Complex Event Processing (CEP) is recognized as an important real-time computing paradigm for analyzing continuous data streams. ...
Acknowledgment This material is based upon work supported by the United States Department of Energy under Award Number DOE-0000192 and the National Science Foundation under Award CCF-1048311. ...
doi:10.1016/j.future.2016.10.030
fatcat:gvqp34dfvbfwjbefip5cu35tsm
Towards a Distributed, Scalable and Real-Time RDF Stream Processing Engine
2016
International Semantic Web Conference
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In a nutshell, the engine aims to i) address basic event modeling -to guarantee the completeness of input data in window operators, ii) process real-time RDF stream in a distributed manner -efficient RDF ...
Due to the growing need to timely process and derive valuable information and knowledge from data produced in the Semantic Web, RDF stream processing (RSP) has emerged as an important research domain. ...
Due to the enrichment and the maturity of the platform ecosystems, we choose Spark Streaming as the framework of our RSP engine. ...
dblp:conf/semweb/Ren16
fatcat:ktpaymr7e5hefdonsfmx2vwnyy
BIDCEP: A Vision of Big Data Complex Event Processing for Near Real Time Data Streaming
2016
International Conference on Advanced Information Systems Engineering
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, basic and derived enrichment, semantics transformation, and security enforcement. ...
BiDCEP expands the Lambda and Kappa (LK) architectures for big data streaming to fit the complex event processing (CEP) and event management domains of enterprise IT. ...
and data cleansing and de-duplication; (2) enrichment component that adds meta-data of sampling rate, source of data and time stamp; and (3) semantics expansion component for adding information such as ...
dblp:conf/caise/Hadar16
fatcat:rsurh4ljs5ashk7ky2hwohxtoa
Augmented Participation to Live Events through Social Network Content Enrichment
2014
Extended Semantic Web Conference
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content base for the event. ...
Such data is analyzed through a combination of semantic web, crowdsourcing (e.g., by soliciting further inputs from attendees), and machine learning techniques (including NLP and NER) for building a rich ...
This component is based on the CrowdSearcher framework [3, 4] , which allows planning and control of crowdsourcing campaigns. ...
dblp:conf/esws/BrambillaDVMV14
fatcat:mm7hezkoanbglh76xhlegeckua
A Prototype for Semantic based Diagnosis of Road Traffic Congestions
2012
International Semantic Web Conference
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Our work, accepted at ISWC 2012, tackles this problem by integrating and reasoning over a variety of heterogeneous data sources including data streams. ...
In this paper we present an initial prototype of our work for the city of Dublin, Ireland. ...
Introduction Consider the case of city planning in anticipation of large events (for a example Republic of Ireland World Cup qualifier match in Croke Park, Dublin), or in reaction to unplanned events ( ...
dblp:conf/semweb/SbodioLS12
fatcat:6mo56hkl6nbhjers6gu2o5u2y4
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