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A formal model to infer geographic events from sensor observations
2014
International Journal of Geographical Information Science
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The Sensor Web provides wider access to sensors and their observations via the Web. A key challenge is to infer information about geographic events from these observations. ...
The model is exploited with a rule-based mechanism to infer information about events from in-situ observations. ...
Geographic events (geo-event) are not directly interacting with sensors, but rather they are "historical entities" inferred from observations. ...
doi:10.1080/13658816.2014.933480
fatcat:ksywitgqwnbbtevlf3fa257tta
Sensors Tell More than They Sense: Modeling and Reasoning about Sensor Observations for Understanding Weather Events
2012
International Journal of Sensors Wireless Communications and Control
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The essential part of deriving information about geographic events from sensor observations is to formalize the relations between them. ...
In this paper, we argue that sensors provide a better understanding of geographic events. They produce observations that reflect the natural events taking place at a particular location. ...
Acknowledgements The sensor images in this paper were obtained from Wikimedia Commons. ...
doi:10.2174/2210327911202010014
fatcat:tn7762dc7raileoelthacg2epa
Towards Semantic Integration of Heterogeneous Sensor Data with Indigenous Knowledge for Drought Forecasting
2015
Proceedings of the Doctoral Symposium of the 16th International Middleware Conference on - Middleware Doct Symposium '15
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2016 pre-print arXiv:1601.01920v1 fatcat:usc6bdxwzfgffnpqg6ito5jdiy
To achieve the maximum benefits of IoT for drought forecasting, a dedicated semantic middleware solution is required. ...
This research proposes a middleware that semantically represents and integrates heterogeneous data sources with indigenous knowledge based on a unified ontology for an accurate IoT-based drought early ...
The middleware will be used to attach semantic meaning to observed property and the detection-oriented CEP Engine will infer patterns from the observed properties based on set of a indicators derived from ...
doi:10.1145/2843966.2843968
dblp:conf/middleware/AkanbiM15
fatcat:yn6iqseuujbktpylkuute4qcbe
Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs
[article]
2022
arXiv
pre-print
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This concept links to observational snapshots that represent sets of conditions, and either acts as the setting of a geo-event or influences the initiation of a geo-event. ...
We envision the use of this framework within knowledge graphs that represent geographic entities will help answer the important question of why a geographic event occurred. ...
Fig. 2 ). [1] adopts the notion of process that actuates sensors to make observations, which are then used to infer events, and [4] describes variations in quantitative observed properties as events ...
arXiv:2206.13658v1
fatcat:7x57vsitebappaz6xcvncfq3em
Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model
2013
ISPRS International Journal of Geo-Information
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Similarly, there is a growing interest in volunteered geographic information (VGI). ...
The idea of OGC Sensor Web Enablement (SWE) has addressed this issue by proposing a set of standards to enable accessibility of sensor data over the Web. ...
Acknowledgements This research was made possible by an operating grant from Microsoft Research and Alberta Innovate Technology Future Natural Sciences and an operating grant from Engineering Research Council ...
doi:10.3390/ijgi2030766
fatcat:vgds2dvztredjp5ifmpanuek7y
Semantic-enhanced resource discovery for CoAP-based sensor networks
2013
5th IEEE International Workshop on Advances in Sensors and Interfaces IWASI
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Data mining procedures were also exploited to detect high-level events from gathered raw data. A case study on environmental monitoring has been proposed to test the effectiveness of our approach. ...
This paper presents a complete Semantic Sensor Network (SSN) framework, supporting a resource discovery based on non-standard inferences. ...
Such non-standard inference service is particularly useful in sensor network scenarios, where we need to gather data from different type of sensor with specific features to infer proper events. ...
doi:10.1109/iwasi.2013.6576093
dblp:conf/iwasi/GramegnaILP13
fatcat:ru7n7xnogfafrgzftibla3xdjy
Machine reasoning about anomalous sensor data
2010
Ecological Informatics
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We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific domain to which the data ...
Our software solution can produce a variety of different outcomes when a data anomaly or unexpected event is detected, ranging from simple flagging of data points, to data augmentation, to validation of ...
Department of Energy Our thanks also to Bernie Gardner for explanation of the models of wave influence on bottom sediments. We appreciate a number of suggestions made by the reviewers. ...
doi:10.1016/j.ecoinf.2009.08.007
fatcat:eq75skaxt5h6jd6zboh3kda23i
{\rm E} - A Generic Event Model for Event-Centric Multimedia Data Management in eChronicle Applications
2006
22nd International Conference on Data Engineering Workshops (ICDEW'06)
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As a foundation, the paper proposes the E multimedia event model and discusses essential design considerations for the development of that model. ...
E's genericity and profound adaptability to varying application needs make the model a suitable foundation for reusable multimedia data management components that are useful not only for eChronicle applications ...
Acknowledgements We would like to thank Bo Gong and Srikanth Agaram for their efforts in implementing and setting up the experimental event-centric user interface. ...
doi:10.1109/icdew.2006.1
dblp:conf/icde/WestermannJ06
fatcat:vzagil6tdzh5dglcvt2l5sc3dm
Semantic Interoperability Middleware Architecture for Heterogeneous Environmental Data Sources
[article]
2018
arXiv
pre-print
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Data heterogeneity hampers the effort to integrate and infer knowledge from vast heterogeneous data sources. ...
In this paper, we describe and evaluate a cross-domain middleware architecture that semantically integrates and generate inference from heterogeneous data sources. ...
The CEP engine detects composite events -from the observation of specific patterns of the sensor data. ...
arXiv:1809.05890v1
fatcat:xzoc3h2zhrgtdbcqsyg3wphcvi
Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields
2009
International Joint Conference on Artificial Intelligence
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In this paper, we propose a new Spatio-Temporal Event Detection (STED) algorithm in sensor networks based on a dynamic conditional random field (DCRF) model. ...
Event detection is a critical task in sensor networks for a variety of real-world applications. ...
In the figure, shaded nodes indicate observed measurements x, and non-shaded nodes indicate the hidden labelings y about events, with the values to be inferred from observations x. ...
dblp:conf/ijcai/YinHY09
fatcat:wrb53pf7gbhojjx4hxja55w7ni
Making Sense of the World: Models for Reliable Sensor-Driven Systems
[article]
2019
arXiv
pre-print
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types of model in sensor-driven systems. ...
In this position paper we develop these new concepts, illustrate their application to two example systems, and describe some of the new research challenges involved in modelling for assurance. ...
Acknowledgments This work is supported by the Science of Sensor System Software programme grant, funded by the EPSRC (Engineering and Physical Sciences Research Council), EP/N007565/1. ...
arXiv:1803.10478v2
fatcat:u3eag3viszaj7lcdvufmrrpkoi
Making Sense of the World: Framing Models for Trustworthy Sensor-Driven Systems
2018
Computers
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Examples from a smart water distribution network illustrate how frames offer a lens through which to organise and balance multiple views of the system. ...
Can we model them in a way that captures all the key issues? We define two concepts: frames of reference and frames of function that help us organise models of sensor-based systems and their purpose. ...
We can infer stochastic models of clusters of "normal" behaviour and variances from sampled event streams, consisting of both periodic data sensing events and aperiodic control events. ...
doi:10.3390/computers7040062
fatcat:gplpczpkuvf45bnowrk2z7iuxe
Addressing the attack attribution problem using knowledge discovery and multi-criteria fuzzy decision-making
2009
Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics - CSI-KDD '09
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By means of experiments with real-world attack traces, we show how this method can effectively help us to perform a behavioral analysis of those zombie armies from a long-term, strategic viewpoint. ...
In most cases, the observed phenomena can be attributed to so-called zombie armies -or botnets, i.e. groups of compromised machines controlled remotely by a same entity. ...
Then, each time a new event could not be attributed to an existing phenomenon, the inference engine will create a new fuzzy system to model this new emerging phenomenon. ...
doi:10.1145/1599272.1599277
dblp:conf/kdd/ThonnardMD09
fatcat:v4es2tsvvfgvxpf5dk2sioojiu
Modeling and Reasoning about Geospatial Event Dynamics Using Semantic Web Technologies
2016
International Conference Geographic Information Science
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We present a case study using data from a severe flood in Iowa City, IA during 2008, applying the RDF model to analyze the event dynamics caused by river flooding and building closures. ...
A data model that explicitly represents events is an important step towards revealing underlying mechanisms for geographic changes, and facilitating the explanatory and predictive analysis of geographic ...
[7] presented a formal model that use a rulebased mechanism to infer information about events from in-situ observations. Built upon Semantic Sensor Web framework, Llaves et al. ...
dblp:conf/giscience/FanS16
fatcat:lo6cpnytqzf3fojlywqgi22tru
A dynamic and context-aware semantic mediation service for discovering and fusion of heterogeneous sensor data
2013
Journal of Spatial Information Science
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Semantic mapping for the sensor web is required to support sensor data fusion, sensor data discovery and retrieval, and automatic semantic annotation, to name only a few tasks. ...
Sensors play an increasingly critical role in capturing and distributing observations of phenomena in our environment. ...
We also wish to thank the anonymous reviewers for their valuable comments which contributed to the improvement of this paper. ...
doi:10.5311/josis.2013.6.104
fatcat:urbtiqgfcvawnc7t3wtwp6l3tq
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