Sharing Sensor Data with SensorSA and Cascading Sensor Observation Service

The SANY IP consortium (http://www.sany-ip.eu) has recently developed several interesting service prototypes that extend the usability of the Open Geospatial Consortium “Sensor Web Enablement” (OGC SWE) architecture. One such service prototype, developed by the Austrian Research Centers, is the “cascading SOS” (SOS-X). SOS-X is a client to the underlying OGC Sensor Observation service(s) (SOS). It provides alternative access routes to users (or services) interested in accessing data. In addition to a simple cascading, SOS-X can re-format, re-organize, and merge data from several sources into a single SOS offering. Thanks to the built-in “Formula 3” prototype, a kind of time series library, SOS-X will be enabled to derive new data sets on the fly executing arbitrary algebraic operations on one or more data input streams. This article will discuss the SOS-X development status (focusing at end of 2008), further development agenda in year 2009, and possibilities for using the SOS-X outside of the SANY IP

Approaching Cross-Domain Search in Environmental Applications – Towards Linked Data

Part 1: Environmental Application in the Scope of the Future InternetInternational audienceTaToo – Tagging tool based on a semantic discovery framework, a project funded by the European Commission provides a web-based solution for easy and accurate discovery as well as tagging of environmental resources. The novelty relies on a semantic framework integrating different domain ontologies in a multi-domain and multilingual context. The underlying ontology framework, comprises besides the different domain ontologies (e.g. related to climate change, agro-environmental and anthropogenic impact domains) also concepts and methods to establish a mapping between the domain ontologies and so-called minimal environmental resource model (MERM). Together this forms a suitable and usable bridge ontology allowing a cross-domain discovery by using aligned ontologies concepts from different domains. The clear advantage for the end-user is that he is now able to find relevant information stemming from other domains, (like from impact of pollutant, climate change or temperature on human health) that he would not have found before but would be even more important to him that the ones only from his domain of expertise. The TaToo semantic framework extends cross-domain search evolving towards the Linked Data initiative by providing a linking functionality. The cross-domain search can be extended including in the search results also linked resources

Environmental Software Systems. Frameworks of eEnvironment: 9th IFIP WG 5.11 International Symposium, ISESS 2011, Brno, Czech Republic, June 27-29, 2011. Proceedings

International audienceBook Front Matter of AICT 35

Environmental Software Systems: Fostering Information Sharing: 10th IFIP WG5.11 International Symposium, ISESS 2013, Neusiedl am See, Austria, October 9-11, 2013

International audienceBook Front Matter of AICT 41

Environmental Software Systems. Computer Science for Environmental Protection: 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, May 10-12, 2017, Proceedings

International audienceBook Front Matter of AICT 50

Environmental Software Systems. Infrastructures, Services and Applications: 11th IFIP WG 5.11 International Symposium, ISESS 2015, Melbourne, VIC, Australia, March 25-27, 2015. Proceedings

International audienceBook Front Matter of AICT 44

Environmental Software Systems. Fostering Information Sharing10th IFIP WG 5.11 International Symposium, ISESS 2013, Neusiedl am See, Austria, October 9-11, 2013. Proceedings /

XXII, 699 p. 248 illus.online resource

Requirements Engineering for Semantic Sensors in Crisis and Disaster Management

Part 6: Requirements, Software Engineering and Software ToolsInternational audienceThis paper describes the requirements engineering methodology used for the definition of semantic sensors in a Crisis and Disaster Management framework. The goal of the framework is effective management of emergencies which depends on timely information availability, reliability and intelligibility. To achieve this, different Command and Control (C2) Systems and Sensor Systems have to cooperate and interoperate. Unless standards and well-defined specifications are used, however, the interoperability of these systems can be very complex. To address this challenge, in the C2-SENSE project, a “profiling” approach will be used to achieve seamless interoperability by addressing all the layers of the communication stack in the security field. The main objective is to develop a profile based Emergency Interoperability framework by the use of existing standards and semantically enriched Web services to expose the functionalities of C2 Systems, Sensor Systems and other Emergency and Crisis Management systems. We introduce the concepts of Semantic Sensors, describe the characteristics of Sensor Systems in Emergency Management, and the methodology of requirements engineering for such a framework