title: |
Proposition of a semi-automatic possibilistic information scoring process |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 949 - 956 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
M.-J. Lesot, T. Delavallade, F. Pichon, H. Akdag, B. Bouchon-Meunier, P. Capet |
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publication date: |
July 2011 |
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keywords: |
information scoring, possibility theory,
aggregation operators, fusion |
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abstract: |
This paper proposes a semi-automatic three step
information scoring process that starts from constructs representing structured pieces of information and a user query. It first identifies the constructs relevant to answer the user question, based
on their similarity to the query. The relevant items
are then individually scored, taking into account
both the reliability of their source and the certainty
the latter expresses through its choice of linguistic terms. Lastly, these individual scores are fused,
modeling a corroboration process that takes into
account information obsolescence and source relations. This procedure is performed in the framework of possibility theory, relying on the definition
of the appropriate aggregation operators. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |