A Resource Space Model for Dataspace
Dataspace is a semi-structural data model for the management of large-scale heterogeneous data objects.In a dataspace,each data object consists of a set of attribute-value pairs to describe the internal properties of the object and their relationships to other objects. The dataspace model provides a flexible query language that supports attribute-value pair-based predicate queries and semantic link queries. In this paper we introduce a Resource Space Model that extends the concepts of dataspace to make it more flexible by incorporating classification semantics. We model a dataspace as a set of Resource Spaces (RS) with each RS representing a kind of resources that share common attributes and can be put into the same category, either according to a user’s knowledge of the world or his query preferences. Our model is suitable for designing a user-tailored semantic view of a dataspace while at the same time without losing the schema-later data-centric nature. A practical query language is introduced to implement flexible query operations on the resource spaces of the dataspace. Examples show how the proposed model and language support both the schema query and the data query.
Xiaorui Jiang Xiaoping Sun Hai Zhuge
Knowledge Grid Research Group, Key Lab of Intelligent Information Processing Institute of Computing Technology, CAS, Beijing, China
国际会议
Sixth International Conference on Semantics,Knowledge and Grids(第六届语义、知识与网格国际会议 SKG 2010)
宁波
英文
33-41
2010-11-01（万方平台首次上网日期，不代表论文的发表时间）