To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...
Information extraction and integration from heterogeneous, autonomous data resources are major requirements for many spatial applications. Geospatial analysis for scientific disco...
Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) ...
In this paper, we propose a Core Grid Ontology (CGO) that defines fundamental Grid-specific concepts, and the relationships between them. One of the key goals is to make this Co...
Addressing the long term preservation issues associated with scientific data is a complex challenge compounded by: the scale and multidisciplinary nature of the problem; the wide ...