A new framework for on-demand virtualization, repurposing and fusion of heterogeneous sensors

Liu, Yong; Hill, David; Rodríguez, Alejandro; Marini, Luigi; Kooper, Rob; Myers, James D.; Wu, Xiaowen; Minsker, Barbara

doi:10.1109/cts.2009.5067462

Cited by 17 publications

(7 citation statements)

References 44 publications

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“…Details of the virtu be found in [5]. Such presentation l users to explore both documents familiar folder/files structure.…”

Section: B Ontologies and A Union Context Between Document And Sensomentioning

confidence: 98%

“…A set of coordinated workflows is triggered by web services through a web-based Google map interface to allow user-generated virtual sensors at the spatial locations or areas and temporal frequency that users want. Newly derived virtual sensor data streams are then republished as live data streams for immediate visualization or further flooding modeling usage (for more details see [5]). However, there are other hydrological models such as THREW [7] would also need rainfall data in the watershed, for relative longer term study, not for real-time decision making.…”

Section: A a Water Science Use Casementioning

confidence: 99%

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Beyond the Document Library: Portal-Based Browsing and Exploration of Community Data Clouds

Liu

Kotwani

Rodríguez

et al. 2009

2009 Fifth IEEE International Conference on E-Science

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Every modern portal ships with some form of internal document library portlet tools that can be used to enable groups to share files. Unfortunately, certain limitations --that the portlet can only view data managed directly by the portal and that document and data files are the only resource that can be browsed --make these tools less valuable in many real-world collaborations. This paper describes a semantically-enhanced scientific resource library portlet that extends the traditional document library to enable interaction with multiple distributed repositories in the cloud and to broaden the set of resources that can be viewed beyond simple hierarchical document folder-files structure to include people, sensors, data streams and other complex digital entities and their relationships. Our technology is based on semantic content abstraction and context aggregation functionality supported by Tupelo, a semantic content middleware and is implemented as a portlet plugin to the Liferay-based CyberCollaboratory portal. We describe the architecture components and the browsing features currently implemented and present a water science use case in which users are able to share documents, raw sensor data streams, and derived virtual sensor data (rainfall) from distributed sources within the same semantic resource library.

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“…Details of the virtu be found in [5]. Such presentation l users to explore both documents familiar folder/files structure.…”

Section: B Ontologies and A Union Context Between Document And Sensomentioning

confidence: 98%

Section: A a Water Science Use Casementioning

confidence: 99%

Beyond the Document Library: Portal-Based Browsing and Exploration of Community Data Clouds

Liu

Kotwani

Rodríguez

et al. 2009

2009 Fifth IEEE International Conference on E-Science

Self Cite

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“…SRO′_rs represents the new virtual sensor object [33,34] obtained after performing certain types of relation algebraic operations, such as union, intersection, difference, product, and join. Similar to the metadata attribute set illustrated in the preceding section, homogeneous sensors are described to have the same meta-attribute collections {A_1, A_2, …, A_n}, and the number of meta-attribute columns is n. However, the description of heterogeneous sensor RAs differs in terms of the elements or columns of the meta-attributes.…”

Section: Remote Sensor Resource Operationsmentioning

confidence: 99%

An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation

Chen

et al. 2014

Remote Sensing

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Abstract:In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations.

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“…In the NCSA virtual sensor project 44, spatial, temporal, and thematic transformations of real sensor data implemented as computational models are used to create virtual streams of sensor data. The Tupelo middleware is used to characterize virtual sensors spatiotemporally and to manage provenance metadata.…”

Section: Application Use Casesmentioning

confidence: 99%

Semantic middleware for e‐Science knowledge spaces

Futrelle

Gaynor

Plutchak

et al. 2011

Concurrency and Computation

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The Tupelo semantic content management middleware implements Knowledge Spaces that enable scientists to integrate information into a comprehensive research record as they work with existing tools and domainspecific applications. Knowledge Spaces combine approaches that have demonstrated success in automating parts of this integration activity, including content management systems for domain-neutral management of data, workflow technologies for management of computation and analysis, and semantic web technologies for extensible, portable, citable management of descriptive information and other metadata. Tupelo's 'Context' facility and its associated semantic operations both allow existing data representations and tools to be plugged in, and also provide a semantic 'glue' of important associative relationships that span the research record, such as provenance, social networks, and annotation. Tupelo has enabled the recent work creating e-Science cyberenvironments to serve distributed, active scientific communities, allowing researchers to develop, coordinate and share datasets, documents, and computational models, while preserving process documentation and other contextual information needed to produce an integrated research record suitable for distribution and archiving. J. FUTRELLE ET AL.information and knowledge management. Knowledge Spaces include data management capabilities based on the domain-neutral approaches developed in digital libraries and content management systems (CMS), which helps address the problem of having generalized data management functions implemented in many incompatible ways in specialized scientific tools. Knowledge Spaces also include workflow provenance, so that scientists can keep track of associations between data products and the analysis process that produced them without having to manually create and manage those associations. And finally, Knowledge Spaces use semantic web technologies to provide 'schema-less' metadata management with global identification, so that Knowledge Spaces' integrative facilities (e.g. organizing, tagging, linking, annotating, following chains of derivation) can be extended to distributed systems and new domains without having to develop new database schemas or document types, along with code to interpret them.By implementing Knowledge Spaces in the Tupelo middleware framework, we have been able to develop a suite of interoperable, context-aware tools, including the CyberIntegrator provenanceaware exploratory workflow tool, the CyberCollaboratory web-based collaboration tool, the Digital Synthesis Framework [4] for publishing interactive datasets, and the Medici multimedia environment [5]. These tools have been deployed to create Knowledge Spaces supporting environmental and other sciences, science education, and digital humanities, as well as providing provenance support for a growing collection of workflow projects in collaboration with the Provenance Challenge workshop series [6,7], which has brought together developers of workflow systems, such as Kep...

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A new framework for on-demand virtualization, repurposing and fusion of heterogeneous sensors

Cited by 17 publications

References 44 publications

Beyond the Document Library: Portal-Based Browsing and Exploration of Community Data Clouds

Beyond the Document Library: Portal-Based Browsing and Exploration of Community Data Clouds

An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation

Semantic middleware for e‐Science knowledge spaces

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