Ontologies represent principled, formalised descriptions of agents’ conceptualisations of a domain. For a community of agents, these descriptions may significantly differ. We propose an aggregative view of the integration of ontologies based on Judgement Aggregation (JA). Agents may vote on statements of the ontologies, and we aim at constructing a collective, integrated ontology, that reflects the individual conceptualisations as much as possible. As several results in JA show, many attractive and widely used aggregation procedures are prone to return inconsistent collective ontologies. We propose to solve the possible inconsistencies in the collective ontology by applying suitable weakenings of axioms that cause inconsistencies.

Repairing Socially Aggregated Ontologies Using Axiom Weakening / Porello, D.; Troquard, N.; Confalonieri, R.; Galliani, P.; Kutz, O.; Penaloza, R.. - ELETTRONICO. - (2017), pp. 441-449. ( 20th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2017 fra 2017) [10.1007/978-3-319-69131-2_26].

Repairing Socially Aggregated Ontologies Using Axiom Weakening

Porello D.;
2017-01-01

Abstract

Ontologies represent principled, formalised descriptions of agents’ conceptualisations of a domain. For a community of agents, these descriptions may significantly differ. We propose an aggregative view of the integration of ontologies based on Judgement Aggregation (JA). Agents may vote on statements of the ontologies, and we aim at constructing a collective, integrated ontology, that reflects the individual conceptualisations as much as possible. As several results in JA show, many attractive and widely used aggregation procedures are prone to return inconsistent collective ontologies. We propose to solve the possible inconsistencies in the collective ontology by applying suitable weakenings of axioms that cause inconsistencies.
2017
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
Springer Verlag
978-3-319-69130-5
Settore M-FIL/02 - Logica e Filosofia della Scienza
Settore PHIL-02/A - Logica e filosofia della scienza
Porello, D.; Troquard, N.; Confalonieri, R.; Galliani, P.; Kutz, O.; Penaloza, R.
Repairing Socially Aggregated Ontologies Using Axiom Weakening / Porello, D.; Troquard, N.; Confalonieri, R.; Galliani, P.; Kutz, O.; Penaloza, R.. - ELETTRONICO. - (2017), pp. 441-449. ( 20th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2017 fra 2017) [10.1007/978-3-319-69131-2_26].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/472638
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