The Grid: an application of the semantic web

Intelligent Systems, IEEE, 2004

This paper briefly describes Grid technology for supporting large scale science. It examines several examples of how the process of science must evolve over the next five to ten years in order to facilitate the next steps in scientific discovery. In this context it examines the need and role of semantic description, management, and manipulation of science simulations and data. In conclusion it provides several examples of the potential (even essential) value of semantic tools in dealing with the greatly increased complexity of the multidisciplinary simulation and data environments required for next generation science.

2002

Abstract Information relating to the resources, applications and the user's wishes are key to the transparent and effective exploitation of the federated resources within Computational Grids. These federated data, computational or software resources are owned by real organisations and made available as services to different computational communities or virtual organisations spanning multiple administrative boundaries.

CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings., 2003

In the emerging world of Grid Computing, shared computational, data, other distributed resources are becoming available to enable scientific advancement through collaborative research and collaboratories. This paper describes the increasing role of ontologies in the context of Grid Computing for obtaining, comparing and analyzing data. We present ontology entities and a declarative model that provide the outline for an ontology of scientific information. Relationships between concepts are also given. The implementation of some concepts described in this ontology is discussed within the context of the Earth System Grid II (ESG) .

Knowledge-based data grids provide management systems for data, information, and knowledge. It incorporates epistemology and ontology to reflect human cognition characteristics; exploits social, ecological and economic principles; and adopts the techniques and standards developed during work toward the future web. Grids tie together distributed storage systems and execution platforms into globally accessible resources, while Data Grids provide collection, management and global namespaces for organizing data objects that reside within a grid. The present paper is an attempt to present a comprehensive view of a Grid System that depicts the relationships among the Internet, the Grid, the Semantic Web, the Semantic Grid, and the Knowledge Grid. The study also present useful resources from the environment transform and organize them into semantically rich forms that could be used easily by both machine and humans.

Concepts, Methodologies, Tools and Applications

The purpose of this chapter is to examine the requirements of Knowledge Management (KM) services deployment in a Semantic Grid environment. A wide range of literature on Grid Computing, Semantic Web, and KM have been reviewed, related, and interpreted. The benefits of the Semantic Web and the Grid Computing convergence have been investigated, enumerated and related to KM principles in a complete service model. Although the Grid Computing model significantly contributed to the shared resources, most of KM tools obstacles within the grid are to be resolved at the semantic and cultural levels more than at the physical or logical grid levels. The early results from academia, where grid computing still in testing phase, show a synergy and the potentiality of leveraging knowledge, especially from voluminous data, at a wider scale. However, the plethora of information produced in this environment will result in a serious information overload, unless proper standardization, automated relations, syndication, and validation techniques are developed.

IEEE Transactions on Information Technology in Biomedicine, 2008

The semantic web remains in the early stages of development. It has not yet achieved the goals envisioned by its founders as a pervasive web of distributed knowledge and intelligence. Success will be attained when a dynamic synergism can be created between people and a sufficient number of infrastructure systems and tools for the semantic web in analogy with those for the original web. The domain name system (DNS), web browsers, and the benefits of publishing web pages motivated many people to register domain names and publish web sites on the original web. An analogous resource label system, semantic search applications, and the benefits of collaborative semantic networks will motivate people to register resource labels and publish resource descriptions on the semantic web. The Domain Ontology Oriented Resource System (DOORS) and Problem Oriented Registry of Tags and Labels (PORTAL) are proposed as infrastructure systems for resource metadata within a paradigm that can serve as a bridge between the original web and the semantic web. Registers domain names while DNS publishes domain addresses with mapping of names to addresses for the original web. Analogously, POR-TAL registers resource labels and tags while DOORS publishes resource locations and descriptions with mapping of labels to locations for the semantic web. BioPORT is proposed as a prototype PORTAL registry specific for the problem domain of biomedical computing.