Explanations and Transparency in Collaborative Workflows
Explanations and Transparency in Collaborative Workflows
复制标题
协作工作流程的解释和透明度
DOI:
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发表时间:
2018
期刊:
影响因子:
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通讯作者:
V. Vianu
中科院分区:
文献类型:
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作者:
S. Abiteboul;P. Bourhis;V. Vianu
We pursue an investigation of data-driven collaborative workflows. In the model, peers can access and update local data, causing side-effects on other peers' data. In this paper, we study means of explaining to a peer her local view of a global run, both at runtime and statically. We consider the notion of "scenario for a given peer" that is a subrun observationally equivalent to the original run for that peer. Because such a scenario can sometimes differ significantly from what happens in the actual run, thus providing a misleading explanation, we introduce and study a faithfulness requirement that ensures closer adherence to the global run. We show that there is a unique minimal faithful scenario, that explains what is happening in the global run by extracting only the portion relevant to the peer. With regard to static explanations, we consider the problem of synthesizing, for each peer, a "view program" whose runs generate exactly the peer's observations of the global runs. Assuming some conditions desirable in their own right, namely transparency and boundedness, we show that such a view program exists and can be synthesized. As an added benefit, the view program rules provide provenance information for the updates observed by the peer.
DOI:
10.1007/978-3-642-45005-1_49
发表时间:
2013
期刊:
影响因子:
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作者:
Jan Sürmeli;Marvin Triebel
通讯作者:
Marvin Triebel
DOI:
10.1145/1860702.1860704
发表时间:
2010-09
期刊:
SIGMOD Rec.
影响因子:
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作者:
J. Hellerstein
通讯作者:
J. Hellerstein