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The Tragedy of Meta InformationSource:European Geosciences Union General Assembly 2010 (EGU 2010), European Geosciences Union^, Volume 12, Vienna, Austria (2010)URL:http://meetingorganizer.copernicus.org/EGU2010/EGU2010-14984.pdfKeywords:sensor web; meta-information; TaTooAbstract:Ten years after the Murrays’ announcement, the sensors are indeed inexpensive and ubiquitous. Nevertheless, the vision of “electronic skin” is still a remote dream. Indeed, an operational world-wide SensorWeb is more than just a sum of its parts: all information has to be available in easily discoverable, retrievable, and understandable form. In reality, only a few observations are readily available on the web, and even fewer provide meta-information required for its discovery, understanding and automatic processing. The “tragedy” of meta information, as already identified by ORCHESTRA, an FP6-Integrated Project, is that the “appropriate” meta information depends on the intended use, which in turn can never be known in advance. For example, the set of meta-information required by a scientist interested in climate change may be very different from the meta-information required for automatic report generation in the context of “Clean Air For Europe” (CAFE) directive. The recently started FP7 “TaToo” project proposes an alternative to a fruitless quest for defining and maintaining an all-encompassing meta-information model. In this talk, we will present TaToo’s approach for distributed generation and maintaining of multiple, semantically linked meta-information sets based on community input, and discuss the challenges, potential benefits and advantages (e.g. long-term sustainability) of a community-driven meta information generation.Notes:-The Time Series ToolboxSource:European Geosciences Union General Assembly 2010 (EGU 2010), European Geosciences Union, Volume 12, Vienna, Austria (2010)URL:http://meetingorganizer.copernicus.org/EGU2010/EGU2010-14986.pdfKeywords:SANY, time Series ToolboxAbstract:Many applications commonly used in sensor service networks operate on the same type of data repeatedly over time. This kind of data is most naturally represented in the form of âtime seriesâ. In its simplest form, a time series may consist of a single floating point number (e.g. temperature), that is recorded at regular intervals. More complex forms of time series include time series of complex observations (e.g. aggregations of related measurements, spectra, 2D coverages/images, ...), and time series recorded at irregular intervals. In addition, the time series may contain meta-information describing e.g. the provenance, uncertainty, and reliability of observations. The Time Series Toolbox (TS Toolbox) provides a set of software components and application programming interfaces that simplify recording, storage, processing and publishing of time series. This includes (1) âdata connectorâ components implementing access to data using various protocols and data formats; (2) core components interfacing with the connector components and providing specific additional functionalities like data processing or caching; and (3) front-end components implementing interface functionality (user interfaces or software interfaces). The functionalities implemented by TS Toolbox components provide application developers with higherlevel building blocks than typical general purpose libraries, and allow rapid development of fully fledged applications. The TS Toolbox also includes example applications that can be either used as they are, or as a basis for developing more complex applications. The TS-Toolbox, which was initially developed by the Austrian Institute of Technology in the scope of SANY âSensors Anywhereâ, is written in Java, published under the terms of the GPL, and available for download on the SANY web site.Notes:-Sensor Web Enabled Air Quality Data An INSPIRE Prototype for CAFE ReportingSource:INSPIRE Conference 2010, Krakow, Poland (2010)URL:http://inspire.jrc.ec.europa.eu/events/conferences/inspire_2010/abstracts/59.docKeywords:SANY, INSPIRE, Clean Air for Europe, INSPIRE, OGC SWE, SOS. Formula 3Abstract:As a preparatory step for the definition of data specifications for the INSPIRE Annex themes, JRC has contracted various prototyping projects in regard to environmental reporting in order to define best practices. Among these, four parallel projects are currently testing possible technical solutions for open standards-based INSPIRE compliant prototype for air quality reporting in accordance with the CAFE directive (Clean Air For Europe) in Austria, Poland, Slovakia and the United Kingdom. To date, INSPIRE has been driven by the Spatial Data Infrastructure community, relying on OGC Web Feature Service (WFS) services for data provision. Based on an analysis of the requirements of the CAFE directive, the Austrian development team came to the conclusion that these requirements would be far better served by a Sensor Web Enabled (SWE) approach than the more traditional WFS services defined to date for INSPIRE. As we had been working on prototyping access to Austrian Air Quality data within the SANY IP, we decided to implement the INSPIRE CAFE prototype utilizing results of the SANY project. Based on our experiences in the development of a Sensor Web Enabled prototype for CAFE Reporting under the INSPIRE Directive, we have come to the conclusion that SWE is uniquely suited for this task. All reporting concepts could be clearly mapped to parts of the existing SWE data models. In addition, the tools developed within SANY provide valuable extensions to the base SWE architecture, with the combination of Cascading SOS and Formula 3 providing a powerful transformation node for time series data while the metadata extraction tools and semantic catalogue allowing for automatic extraction of up to date metadata and user friendly ontology supported discovery. We strongly recommend the further exploration of SWE technology for the more data rich INSPIRE themes.Notes:CAFE with SANY presentation: http://inspire.jrc.ec.europa.eu/events/conferences/inspire_2010/presentations/59_pdf_presentation.pdfSensor Level Plug and Measure: with Non Plug and Play SensorsAuthors:Schabauer, J.Source:VDM Verlag Dr. Mueller, p.116 (2010)URL:http://www.amazon.de/Sensor-Level-Plug-Measure-Sensors/dp/3639255747/ref=sr_1_1?ie=UTF8&s=books-intl-de&qid=1277105038&sr=8-1Keywords:Plug and Measure, IEEE 1451, OGC, SensorML, AnySen, air qualityAbstract:This book addresses an important issue for scalability of measurement networks and user friendliness for network operators: Plug and Measure. Concepts of IEEE 1451 as well as OGC Sensor Web Enablement (in particular SensorML) will be analyzed. Special attention is given to interfacing and integrating sensors, which do not conform to any standard Plug and Play protocol, which is the vast majority as of today. Based on these ideas, prototypical software for Sensor Level Plug and Measure (AnySen) will be introduced. AnySen was developed at the Austrian Institute of Technology (AIT), funded by the European FP6 Project SANY and Austrian measurement network operators.Notes:.CHARON SAC Framework TutorialAuthors:Pascal Dihé, S.S.Source:SP7 (2010)URL:http://www.enviromatics.net/charon/Keywords:SANY, Security, OASIS, SAML, XACML, GeoXACML, Service Access Control, tutorial, CHARONAbstract:The purpose of this documents is to give a short overview on security in sensor networks from different user perspectives and to provide a hands on tutorial on how to use the CHARON Service Access Control (SAC) Framework. CHARON which is a general, open source and free framework for non-intrusive access control in service networks has been developed as contribution to the SANY Sensor Anywhere - IST FP6 Integrated Project.Notes:Cookbook Part C
D1.1.5.1 Publishable Final Activity ReportEditors:Havlik, D.Source:SANY Sensors Anywhere Integrated Project, p.40 (2010)Call Number:FP5-2005-IST-5URL:http://sany-ip.eu/publications/3571Keywords:SANY; Sensors Anywhere; results; recommendationsAbstract:Notes:Section 1 contains the "executive summary" which explains the structure and contents of the document.Section 2 presents the SANY team, project objective, scope, and development approach Section 3 summarizes the work performed in the first, second and third reporting periods. Section 4 gives an overview of the "publishable results" of the SANY IP; these include the most important documents, software and hardware items resulting from this project. Section 5 summarises the SANY findings and gives recommendations for post-SANY exploitation and future R&D activities. SANY, at the end of the dayAuthors:Havlik, D.Source:Future Sensor Web and its Applications (2010)URL:http://inspire-forum.jrc.ec.europa.eu/pg/groups/9265/the-future-sensor-web/Keywords:SANY, results, Sensors Anywhere, Sensor Service Architecture, SensorSA; SANY services; SANY applications; Sensor Web EnablementAbstract:This presentation summarizes the results of the SANY project, and provides an overview of the exploitation and further research opportunities.Notes:The presentation was prepared for "The Future of Sensor Web and its Applications" workshop, which was organised in Ispra/Italy by Joint Research Center and the European Environmental Agency
ORCHESTRA and SANY in DEWSSource:SANY/ORCHESTRA training for DEWS project team (2010)URL:http://sany-ip.eu/public_event/orchestra_and_sany_in_dewsKeywords:SANY, ORCHESTRA, trainingAbstract:On this workshop, Sascha Schlobinski and Martin Scholl performed an ORCHESTRA and SANY training for DEWS members. The main goal of the workshop was to discuss the lessons learned and possible uses of SANY/ORCHESTRA results in DEWS.Notes:All presentations can be downloaded from the event page on sany-ip (see link)SANY Decision Support Infrastructure TutorialsSource:(2009)URL:http://sany-ip.eu/publications/3494Keywords:SANY, SensorSA, Decision Support Infrastructure, tutorialsAbstract:The documents attached to this page are "tutorials" explaining the use of the "Decision Support Infrastructure" components. The tutorials are conceived as "online annex" to the SANY cookbook.Notes:These documents are targeting Service Providers and System Integrators that are looking for off-the shelf clients for their standard/open services. They contains a list of available clients as well as instructions on how to deploy them on the SANY Decision Support Infrastructure. The documents also target Decision Makers and System Integrators that need a portal providing access to a set of standard/open services. They contains guidance on how to use the various types of clients deployed by the Service Providers.
SANY D2.4.4 Sensor Service Specification V3Editors:Dihé, P.Authors:Bartha, M.; Bonitz, A.; Dihé, P.; Ecker, S.; Havlik, D.; Hilbring, D.; Iosifescu Enescu, I.; Jacques, P.; Ma, W.; Schlobinski, S.; Scholl, M.; Simonis, I.; Usländer, Th.; Watson, K.Source:SANY Sensors Anywhere Integrated Project, p.108 (2009)Call Number:FP5-2005-IST-5URL:http://sany-ip.eu/publications/3526Keywords:SANY, sensor services, architecture, service specificationsAbstract:This document provides the specifications of sensor services and information models that are used, enhanced or developed by the European Integrated Project FP6-033564 Sensors Anywhere (SANY). Information models are specified according to the rules and guidelines formulated in the Information Viewpoint of the Sensor Service Architecture (SensorSA) [SANY D2.3.3, 2009]. The service specifications are provided according to the rules and guidelines of the SensorSA Technology Viewpoint. They refine and formalise the corresponding service descriptions of the SensorSA Service Viewpoint.Notes:Copyright © 2009, SANY Consortium The SANY Consortium (www.sany-ip.eu) grants third parties the right to use and distribute all or parts of this document, provided that the SANY project and the document are properly referenced.
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