Semantic Grid Services in K-Wf Grid

Babik, Marian; Gatial, Emil; Habala, Ondrej; Hluchý, Ladislav; Laclavik, Michal; Maliska, Martin

doi:10.1109/skg.2006.88

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…The K-Wf Grid (Babik et al 2006) uses state-of-the-art semantic Web and Grid technology to facilitate automatic and dynamic orchestration and execution of knowledge-based Grid workflows. The system defines a new XML-based languagethe Grid Workflow Description Language -to describe a workflow model that is built based on Petri net theory.…”

Section: Related Workmentioning

confidence: 99%

“…In such a complex environment, the knowledge of discipline experts plays an important role (Zhuge 2004, Ludascher et al 2005, Babik et al 2006, Hu and Bian 2009 in Distributed Geospatial Information Processing (DGIP) for Earth science research and applications. How to extract this knowledge and how to use the knowledge to efficiently process geospatial data for applications and decision makers remain major issues (Raskin andPan 2005, Lutz andKlein 2006).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Use of grid computing for modeling virtual geospatial products

Chen

Wei

et al. 2009

International Journal of Geographical Information Science

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Earth science research and applications usually use Distributed Geospatial Information Processing (DGIP) services and powerful computing capabilities to extract information and knowledge from large volumes of distributed geospatial data. Conceptually, such processing can be abstracted into a logical model that utilizes geospatial domain knowledge to produce new geospatial products. Using this idea, the geo-tree concept and the proposed geospatial Abstract Information Model (AIM) have been used to develop a Grid workflow engine complying with geospatial standards and the Business Process Execution Language. Upon a user's request, the engine generates virtual geospatial data/information/knowledge products from existing DGIP data and services. This article details how to (1) define and describe the AIM in XML format, (2) describe the process logically with an AIM, including the geospatial semantic logic, (3) conceptually describe the process of producing a particular geospatial product step by step from raw geospatial data, (4) instantiate AIM as a concrete Grid-service workflow by selecting the optimal service instances and data sets, and (5) design a Grid workflow engine to execute the concrete workflows to produce geospatial products. To verify the advantages and applicability of this Grid-enabled virtual geospatial product system, its performance is evaluated, and a sample application is provided.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Use of grid computing for modeling virtual geospatial products

Chen

Wei

et al. 2009

International Journal of Geographical Information Science

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“…Si es necesario, se creará una ontología que modele las propiedades de recurso de los servicios dados. Esta herramienta ha sido utilizada en la arquitectura K-WfGrid (The Knowledge-based Workflow System for Grid Applications) [1], un diseño de servicios grid semánticos destinados a simulaciones para la predicción de inundaciones.…”

Section: Figura 1: Capa De Conocimientounclassified

Descubrimiento de Recursos en un Entorno Grid mediante Ontolog´ıas

Chuburu¹,

Fillottrani²,

Echaiz³

et al. 2009

Ciencia Y Tecnología

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Grid technologies allow sharing of heterogeneous resources spreaded on the Internet or a Wide Area Network. The infrastructure determined by the use of these technologies (grid computing) is only a part of a wider scenario, which also includes information management and knowledge processing support of distributed processes. This wider view is adopted by the Semantic Grid [6] which is defined as an extension of Grid Computing where the information and services are described in a well-defined form, allowing people and computers to work in a more cooperative way. In this paper, the recent proposes in the ontologies management for grid resource semantic description are analized, which facilitate the location of resources when applications need it, and explore the possibilities of development of modules which make use of knowledge bases. In this way, it is possible to extend existing grid architectures with the aim of making the task of web resource discovery more efficient and compose this resources in an intelligent way.

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DAG -extended deletion algorithm in Graphical Abstract Grid Workflow Model for remote sensing quantitative retrieval

Liu

Zhi-yong

2010

2010 2nd International Conference on Education Technology and Computer

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Semantic Grid Services in K-Wf Grid

Cited by 4 publications

References 8 publications

Use of grid computing for modeling virtual geospatial products

Use of grid computing for modeling virtual geospatial products

Descubrimiento de Recursos en un Entorno Grid mediante Ontolog´ıas

DAG -extended deletion algorithm in Graphical Abstract Grid Workflow Model for remote sensing quantitative retrieval

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