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Ontology-based discovery of time-series data sources for landslide early warning system
2019
Computing
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The ontology is evaluated based on scenarios and competency questions to verify the coverage and consistency. ...
To this end, the automatic discovery of potential time series data sources has become a challenge due to the complexity and high variety of data sources. ...
Moreover, cross co-analysis of time series data sources is not only useful for the discovery of event co-relation but also allows for additional event verification. ...
doi:10.1007/s00607-019-00730-7
fatcat:k6pcsjag45bbxdlhevktme2die
Crisis and Disaster Situations on Social Media Streams: An Ontology-Based Knowledge Harvesting Approach
2019
Interdisciplinary Journal of Information, Knowledge, and Management
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Methodology: This paper evolves a disaster ontology-based system availing a framework model for monitoring uses of social media during risk and crisis-related events. ...
Results of empirical testing and analysis indicate that the proposed model outperforms similar other models. ...
Methodology This paper evolves a disaster ontology-based system availing a framework model for monitoring uses of social media during risk and crisis-related events. ...
doi:10.28945/4420
fatcat:lwdet7km2velblks33d3hoskpm
Ontology-based specification, identification and analysis of perioperative risks
2017
Journal of Biomedical Semantics
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For the identification of the ontologically specified risks, we developed an ontology-based software module, called Ontology-based Risk Detector (OntoRiDe). ...
Comprehensive testing has indicated the correctness of the data acquisition, risk identification and analysis components, as well as the web-based visualization of results. ...
Acknowledgements An earlier version of the paper has been presented at ODLS 2016 (Ontologies and Data in Life Sciences) in Halle (Saale). ...
doi:10.1186/s13326-017-0147-8
pmid:28877732
pmcid:PMC5588673
fatcat:zsppmwqdqnbtrd57d57iwvr5bu
OAE: The Ontology of Adverse Events
2014
Journal of Biomedical Semantics
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The representation and analysis of AEs are critical to the improvement of public health. ...
After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. ...
We appreciate Darrell Abernethy and Keith Burkhart for their consultation in the domain of clinical adverse event reporting. ...
doi:10.1186/2041-1480-5-29
pmid:25093068
pmcid:PMC4120740
fatcat:fjkxotcponejphoy6u5s26xsmi
An Ontology for Event Detection and its Application in Surveillance Video
2009
2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
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Additionally, a video analysis framework based on the proposed ontology is defined for the analysis of different application domains showing the potential use of the proposed ontology. ...
It is composed of two types of knowledge related to the application domain and the analysis system. ...
It demonstrates the potential use of this ontology to define complex events based on a list of simple events (using the detection procedures available in the system). ...
doi:10.1109/avss.2009.28
dblp:conf/avss/SanMiguelMG09
fatcat:nctuxiqlpvexlkcqpbhunh4uaq
Ontology-Based Model Driven Engineering for Safety Verification
2010
2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications
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Model validation throughout the ontology-based transformation assures that the generated formal safety model fulfils a series of requirements that render it analyzable. ...
These constraints are semantically represented by mapping them onto an OWL domain ontology, allowing the incorporation of a Description Logic OWL reasoner and inference rules, in order to detect lacks ...
Furthermore, the ontology-based representation of components allows the definition of custom inference rules, in order to check the model for potential component inconsistencies. ...
doi:10.1109/seaa.2010.60
dblp:conf/euromicro/MokosMKBV10
fatcat:ld7itb36eje3tg4u3yo2vqvnom
Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials
2009
Nature Precedings
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We describe a first-generation ontology for representation and integration of event-related brain potentials (ERPs). ...
This ontology will be used to support sharing and meta-analysis of EEG and MEG data collected within our Neural Electromagnetic Ontologies (NEMO) project. ...
Acknowledgements This work is supported by a grant from the National Institutes of Health (NIH), award #1R01EB007684. We thank Maryann Martone, Jessica Turner and Angela Laird for helpful discussions. ...
doi:10.1038/npre.2009.3458
fatcat:vgeiqt75fnacrm7sgvlwlaoaqu
Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials
2009
Nature Precedings
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We describe a first-generation ontology for representation and integration of event-related brain potentials (ERPs). ...
This ontology will be used to support sharing and meta-analysis of EEG and MEG data collected within our Neural Electromagnetic Ontologies (NEMO) project. ...
Acknowledgements This work is supported by a grant from the National Institutes of Health (NIH), award #1R01EB007684. We thank Maryann Martone, Jessica Turner and Angela Laird for helpful discussions. ...
doi:10.1038/npre.2009.3458.1
fatcat:cnsujlvp5rdcjfvnnxrgmwxejy
Extraction of potential adverse drug events from medical case reports
2012
Journal of Biomedical Semantics
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Therefore, this work focusses on the adaptation of a machine learning-based system for the identification and extraction of potential adverse drug event relations from MEDLINE case reports. ...
An experiment with large scale relation extraction from MEDLINE delivered underidentified potential adverse drug events not reported in drug monographs. ...
Martin Hofmann-Apitius and former colleagues at Fraunhofer Institute SCAI for supporting the foundational aspects of this work. ...
doi:10.1186/2041-1480-3-15
pmid:23256479
pmcid:PMC3599676
fatcat:tlxygb4kfve4rclaf7eitp7j5y
Development of NeuroElectroMagnetic ontologies(NEMO)
2007
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '07
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OBJECTIVE Event-related potentials (ERP) are brain electrophysiological patterns created by averaging electroencephalographic (EEG) data, timelocking to events of interest. ...
In this paper, we propose a generic framework for mining and developing domain ontologies and especially its application to ERP data. ...
Latent temporal principal component analysis (PCA) representation of classical "P100" potential. C. Scalp topography for P100 potential shown in B. ...
doi:10.1145/1281192.1281224
dblp:conf/kdd/DouFRFMT07
fatcat:7sve2qpnnrekzmxxd6b234mybm
A use case study on late stent thrombosis for ontology-based temporal reasoning and analysis
2014
Journal of Biomedical Semantics
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In this paper, we show how we have applied the Clinical Narrative Temporal Relation Ontology (CNTRO) and its associated temporal reasoning system (the CNTRO Timeline Library) to trend temporal information ...
This paper also includes an example of how this temporal output from the CNTRO ontology can be used to verify recommendations for length of drug administration, and proposes that these same tools could ...
Acknowledgments This research is partially supported the National Library of Medicine of the National Institutes of Health under Award Number R01LM011829. We thank Ms. ...
doi:10.1186/2041-1480-5-49
pmid:25540680
pmcid:PMC4275934
fatcat:ibyfofe5tje3biwh37bny6lb6e
Modeling and Learning Interaction-based Accidents for Safety-Critical Software Systems
2007
Asia Pacific Software Engineering Conference. Proceedings
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A set of knowledge bases are constructed independently using a feature-based classification and a domain specific ontology to organize the term spaces of each feature. ...
Current practices such as causal event analysis are insufficient in light of a growing trend of accidents involving complex interactions between components with and without the occurrence of failures. ...
We further showed how our interaction-based classifications potentially avoids the insufficiency of traditional causal event analysis. ...
doi:10.1109/apsec.2007.71
dblp:conf/apsec/MahmoodKKP07
fatcat:zm2fbyma35bpnpw6oiyg4vcc7m
An Ontological Analysis of Integrated Process Modelling
[chapter]
1999
Lecture Notes in Computer Science
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The BWW representation model attempts to provide a theoretical base on which to evaluate and thus contribute to the improvement of information systems modelling techniques. ...
However, even when considering all four views in combination, problems may arise in representing all potentially required business rules, and specifying the scope and boundaries of the system under consideration ...
Opdahl, University of Bergen, Norway, and participants at the workshops on ontological issues in information systems at the University of Queensland in 1998 for their helpful comments. ...
doi:10.1007/3-540-48738-7_17
fatcat:wfnvfptp3fbgzdrgsd3mjusajm
The Rich Event Ontology
2017
Proceedings of the Events and Stories in the News Workshop
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them with event-to-event causal and temporal relations. ...
By adding temporal and causal relational information not found in any of the independent resources, the ontology facilitates reasoning on and across documents, revealing relationships between events that ...
Vossen, Annie Zaenen, and additional members of the board. ...
doi:10.18653/v1/w17-2712
dblp:conf/acl/BrownBOP17
fatcat:xypdmq7u6zevpg7ixizxrioziy
The Transport Disruption Ontology
[chapter]
2015
Lecture Notes in Computer Science
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We discuss related models, describe how transport events and their impacts are captured, and outline use of the ontology within an interlinked repository of the travel information to support intelligent ...
This paper presents the Transport Disruption ontology, a formal framework for modelling travel and transport related events that have a disruptive impact on traveller's journeys. ...
Identifying Potential Disruptive Impacts Potential travel disruptions can be identified by performing spatial and temporal matching of the events and planned journeys in the knowledge base. ...
doi:10.1007/978-3-319-25010-6_22
fatcat:w2pg2bd7jzf7banrfn7sabgu44
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