| International Journal of Artificial Intelligence and Knowledge Discovery | |
| A Novel based Approach to Efficiently Locate the Semantic Path in Large-Scale Systems | |
| Shailender Kumar1  Pradeep Kamboj2  | |
| [1] AIACTR, Delhi;GPMCE, Delhi | |
| 关键词: distributed system; knowledge; relation discovery; Semantic Web; Ontology; | |
| DOI : | |
| 学科分类:建筑学 | |
| 来源: RG Education Society | |
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【 摘 要 】
As the large volumes of Semantic Web data is at our disposal, it initiates the task of discovering large amount of knowledge, one of the potential is discovery of semantic relation which fundamentally changes the way we gather and use knowledge. Due to the distributed nature of Semantic Web development, semantic data tend to be created and stored viably in different organizations, the full demonstration of the Semantic Web data faces tremendous challenges such as usability, scalability, and heterogeneity. This paper proposes an adequate strategy to discover semantic relationships over large-scale distributed systems such as peer-to-peer and grid network, which permit users to share their local knowledge to collectively initiate new discoveries.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010161198ZK.pdf | 11KB |
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