Truthful Mechanisms for Multi Agent Self-Interested Correspondence Selection
- Submitting institution
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The University of Liverpool
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 15778
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-030-30793-6_42
- Title of conference / published proceedings
- SEMANTIC WEB - ISWC 2019, PT I
- First page
- 733
- Volume
- 11778
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is the first to apply algorithmic mechanism design to the decentralised Ontology Alignment negotiation problem. Payne was invited to the Workshop on Knowledge Communication and Evolution at INRIA, Grenoble, to present the methodology developed in this paper (https://moex.inria.fr/cooperation/miai/workshop2020.html).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -