Uncertainty Reasoning for Linked Data

نویسنده

  • Dave Reynolds
چکیده

Linked open data offers a set of design patterns and conventions for sharing data across the semantic web. In this position paper we enumerate some key uncertainty representation issues which apply to linked data and suggest approaches to tackling them. We suggest the need for vocabularies to enable representation of link certainty, to handle ambiguous or imprecise values and to express sets of assumptions based on named graph combinators.

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تاریخ انتشار 2009