On the likelihood of an equivalence
On the likelihood of an equivalence
Co-references are traditionally used when integrating data from different datasets. This approach has various benefits such as fault tolerance, ease of integration and traceability of provenance; however, it often results in the problem of entity consolidation, i.e., of objectively stating whether all the co-references do really refer to the same entity; and, when this is the case, whether they all convey the same intended meaning. Relying on the sole presence of a single equivalence (owl:sameAs) statement is often problematic and sometimes may even cause serious troubles. It has been observed that to indicate the likelihood of an equivalence one could use a numerically weighted measure, but the real hard questions of where precisely will these values come from arises. We propose and discuss an answer to this question
equivalence mining, co-references, Linked Data
Bartolomeo, Giovanni
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Salsano, Stefano
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Glaser, Hugh
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Bartolomeo, Giovanni
479185cd-2623-40cc-9fcc-6c0a7a98bccd
Salsano, Stefano
2e41807e-5310-4dac-978b-f537d74e8cdf
Glaser, Hugh
df88ca22-a72f-4fb6-9784-6578737d8af4
Bartolomeo, Giovanni, Salsano, Stefano and Glaser, Hugh
(2013)
On the likelihood of an equivalence.
OnTheMove 2013 (OTMA'13), Graz, Austria.
08 - 12 Sep 2013.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
Co-references are traditionally used when integrating data from different datasets. This approach has various benefits such as fault tolerance, ease of integration and traceability of provenance; however, it often results in the problem of entity consolidation, i.e., of objectively stating whether all the co-references do really refer to the same entity; and, when this is the case, whether they all convey the same intended meaning. Relying on the sole presence of a single equivalence (owl:sameAs) statement is often problematic and sometimes may even cause serious troubles. It has been observed that to indicate the likelihood of an equivalence one could use a numerically weighted measure, but the real hard questions of where precisely will these values come from arises. We propose and discuss an answer to this question
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More information
Accepted/In Press date: September 2013
Venue - Dates:
OnTheMove 2013 (OTMA'13), Graz, Austria, 2013-09-08 - 2013-09-12
Keywords:
equivalence mining, co-references, Linked Data
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 354314
URI: http://eprints.soton.ac.uk/id/eprint/354314
PURE UUID: 104757f9-4b95-4cde-8a37-de4de6c7b984
Catalogue record
Date deposited: 08 Jul 2013 08:05
Last modified: 11 Dec 2021 02:25
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Contributors
Author:
Giovanni Bartolomeo
Author:
Stefano Salsano
Author:
Hugh Glaser
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