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What's in a name? Exploiting URIs to enrich provenance explanations in plain English

What's in a name? Exploiting URIs to enrich provenance explanations in plain English
What's in a name? Exploiting URIs to enrich provenance explanations in plain English
Provenance allows decision-makers to evaluate the importance of pieces of data. PROV is the standardised model of provenance for use on the web, particularly suited for situations where data is generated by systems under distributed control, such as in coalition operations. If human decision-makers are to make effective use of provenance data, they need to understand it, and this work establishes techniques for explaining PROV graphs to human users in natural English.

In this paper, we demonstrate the potential role of exploiting the linguistic information that is informally encoded in the URIs used to denote provenance data resources to generate these more natural English explanations of provenance. We show how this additional linguistic information allows us to generate richer, more readable explanation texts, thus enabling better decision-making and increasing the value of preexisting provenance data.
Richardson, Darren P.
f55f06e8-4f92-4399-b365-558b4e64d65d
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Mott, David
bf0779fe-ac61-4fac-965e-a774d0d3437d
Richardson, Darren P.
f55f06e8-4f92-4399-b365-558b4e64d65d
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Mott, David
bf0779fe-ac61-4fac-965e-a774d0d3437d

Richardson, Darren P., Moreau, Luc and Mott, David (2015) What's in a name? Exploiting URIs to enrich provenance explanations in plain English. 3rd Annual Fall Meeting of the International Technology Alliance. 15 - 17 Sep 2015. 2 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Provenance allows decision-makers to evaluate the importance of pieces of data. PROV is the standardised model of provenance for use on the web, particularly suited for situations where data is generated by systems under distributed control, such as in coalition operations. If human decision-makers are to make effective use of provenance data, they need to understand it, and this work establishes techniques for explaining PROV graphs to human users in natural English.

In this paper, we demonstrate the potential role of exploiting the linguistic information that is informally encoded in the URIs used to denote provenance data resources to generate these more natural English explanations of provenance. We show how this additional linguistic information allows us to generate richer, more readable explanation texts, thus enabling better decision-making and increasing the value of preexisting provenance data.

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More information

Published date: September 2015
Venue - Dates: 3rd Annual Fall Meeting of the International Technology Alliance, 2015-09-15 - 2015-09-17
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 393272
URI: http://eprints.soton.ac.uk/id/eprint/393272
PURE UUID: 22b39c82-213f-4c44-bb2f-95067cd03a22
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 27 Apr 2016 10:21
Last modified: 14 Mar 2024 23:59

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Contributors

Author: Darren P. Richardson
Author: Luc Moreau ORCID iD
Author: David Mott

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