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19
Article A Semantic Sensor Web for Environmental Decision Support Applications
, 2011
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Aggregating Linked Sensor Data
"... Abstract. Sensor observations are usually offered in relation to a specific purpose, e.g., for reporting fine dust emissions, following strict procedures, and spatio-temporal scales. Consequently, the huge amount of data gathered by today’s public and private sensor networks is most often not reused ..."
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Abstract. Sensor observations are usually offered in relation to a specific purpose, e.g., for reporting fine dust emissions, following strict procedures, and spatio-temporal scales. Consequently, the huge amount of data gathered by today’s public and private sensor networks is most often not reused outside of its initial creation context. Fostering the reusability of observations and derived applications calls for (i) spatial, temporal, and thematic aggregation of measured values, and (ii) easy integration mechanisms with external data sources. In this paper, we investigate how work on sensor observation aggregation can be incorporated into a Linked Data framework focusing on external linkage as well as provenance information. We show that Linked Data adds new aspects to the aggregation problem, e.g., whether external links from one of the original observations can be preserved for the aggregate. The Stimulus-Sensor-Observation (SSO) ontology design pattern is extended by classes and relations necessary to model the aggregation of sensor observations.
Semantic Information Integration for Stream Reasoning
"... Abstract—The main contribution of this paper is a practical semantic information integration approach for stream reasoning based on semantic matching. This is an important functionality for situation awareness applications where temporal reasoning over streams from distributed sources is needed. The ..."
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Abstract—The main contribution of this paper is a practical semantic information integration approach for stream reasoning based on semantic matching. This is an important functionality for situation awareness applications where temporal reasoning over streams from distributed sources is needed. The integration is achieved by creating a common ontology, specifying the semantic content of streams relative to the ontology and then use semantic matching to find relevant streams. By using semantic mappings between ontologies it is also possible to do semantic matching over multiple ontologies. The complete stream reasoning approach is integrated in the Robot Operating System (ROS) and used in collaborative unmanned aircraft systems missions. 1 I.
Semantic Information Integration with Transformations for Stream Reasoning
"... Abstract—The automatic, on-demand, integration of information from multiple diverse sources outside the control of the application itself is central to many fusion applications. An important problem is to handle situations when the requested information is not directly available but has to be genera ..."
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Abstract—The automatic, on-demand, integration of information from multiple diverse sources outside the control of the application itself is central to many fusion applications. An important problem is to handle situations when the requested information is not directly available but has to be generated or adapted through transformations. This paper extends the semantic information integration approach used in the streambased knowledge processing middleware DyKnow with support for finding and automatically applying transformations. Two types of transformations are considered. Automatic transformation between different units of measurements and between streams of different types. DyKnow achieves semantic integration by creating a common ontology, specifying the semantic content of streams relative to the ontology and using semantic matching to find relevant streams. By using semantic mappings between ontologies it is also possible to do semantic matching over multiple ontologies. The complete stream reasoning approach is integrated in the Robot Operating System (ROS) and used in collaborative unmanned aircraft systems missions. 1 I.
www.mdpi.com/journal/ijgi A Bottom-Up Approach for Automatically Grouping Sensor Data Layers by their Observed Property
, 2013
"... Abstract: The Sensor Web is a growing phenomenon where an increasing number of sensors are collecting data in the physical world, to be made available over the Internet. To help realize the Sensor Web, the Open Geospatial Consortium (OGC) has developed open standards to standardize the communication ..."
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Abstract: The Sensor Web is a growing phenomenon where an increasing number of sensors are collecting data in the physical world, to be made available over the Internet. To help realize the Sensor Web, the Open Geospatial Consortium (OGC) has developed open standards to standardize the communication protocols for sharing sensor data. Spatial Data Infrastructures (SDIs) are systems that have been developed to access, process, and visualize geospatial data from heterogeneous sources, and SDIs can be designed specifically for the Sensor Web. However, there are problems with interoperability associated with a lack of standardized naming, even with data collected using the same open standard. The objective of this research is to automatically group similar sensor data layers. We propose a methodology to automatically group similar sensor data layers based on the phenomenon they measure. Our methodology is based on a unique bottom-up approach that uses text processing, approximate string matching, and semantic string matching of data layers. We use WordNet as a lexical database to compute word pair similarities and derive a set-based dissimilarity function using those scores. Two approaches are taken to group data layers: mapping is defined between all the data layers, and clustering is performed to group similar data layers. We evaluate the results of our methodology.
An Approach to Situation Recognition Based on Learned Semantic Models
, 2014
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IEEE JSTARS-2012-00558.R2 1 Semantic Matchmaking & Mediation for Sensors on the Sensor Web
"... Abstract—With myriads sensors out there, the manual matching of their characteristics and constraints is not feasible anymore and requires a detailed understanding of sensor metadata and observed properties. Thus, Plug & Play like approaches that ease the matching of sensors to Web services have ..."
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Abstract—With myriads sensors out there, the manual matching of their characteristics and constraints is not feasible anymore and requires a detailed understanding of sensor metadata and observed properties. Thus, Plug & Play like approaches that ease the matching of sensors to Web services have become popular in Sensor Web Enablement research. Simple matching, however, tends to exclude too many potentially relevant sensors if not accompanied by mediators as well, e.g., to convert between measurement units. In extending the state of the art, we introduce our current implementation of a rule system that supports complex mediation and mappings, and, thus, aims to achieve a real Plug & Play for the Sensor Web.
Physical and Social Computing Resource annotation, dissemination and discovery in the Semantic Web of Things: a CoAP-based
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� � Methodology � Current status � Future tasks � Summary
"... � Web accessible sensors and sensor observations � � Sensors collect ll data � Services consume or provide data collected by sensors � Minimal human intervention � Requirements to make it happen � Protocols at the hardware and data format level to facilitate data exchange � Careful description of co ..."
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� Web accessible sensors and sensor observations � � Sensors collect ll data � Services consume or provide data collected by sensors � Minimal human intervention � Requirements to make it happen � Protocols at the hardware and data format level to facilitate data exchange � Careful description of concepts related to sensors and sensor outputs � Currently: need for mechanisms to incorporate knowledge about data quality in the Sensor Web 4 Auriol Degbelo 19.12.2011 Motivation & Goal of the work (3/3) � Goal of the work: provide a formal description of concepts related to the spatial and temporal resolution of sensor observations � Key terms � Formal � Resolution: “refers to the amount of detail in a representation ” (Fonseca et al) � Sensor observation: “an act associated with a discrete time instant or period through which a number, term or other symbol is assigned to a phenomenon” (Percival) � Focus: sensor observations provided by technical devices
Geospatial Semantics and Linked Spatiotemporal Data – Past, Present, and Future Editorial
"... Abstract. The Geosciences and Geography are not just yet another application area for semantic technologies. The vast heterogeneity of the involved disciplines ranging from the natural sciences to the social sciences introduces new challenges in terms of interoperability. Moreover, the inherent spat ..."
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Abstract. The Geosciences and Geography are not just yet another application area for semantic technologies. The vast heterogeneity of the involved disciplines ranging from the natural sciences to the social sciences introduces new challenges in terms of interoperability. Moreover, the inherent spatial and temporal information components also require distinct semantic approaches. For these reasons, geospatial semantics, geo-ontologies, and semantic interoperability have been active research areas over the last 20 years. The geospatial semantics community has been among the early adopters of the Semantic Web, contributing methods, ontologies, use cases, and datasets. Today, geographic information is a crucial part of many central hubs on the Linked Data Web. In this editorial, we outline the research field of geospatial semantics, highlight major research directions and trends, and glance at future challenges. We hope that this text will be valuable for geoscientists interested in semantics research as well as knowledge engineers interested in spatiotemporal data.
