Title
Repairing Socially Aggregated Ontologies Using Axiom Weakening
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.
Year
DOI
Venue
2017
10.1007/978-3-319-69131-2_26
PRINCIPLES AND PRACTICE OF MULTI-AGENT SYSTEMS (PRIMA 2017)
Field
DocType
Volume
Ontology (information science),Ontology,Information retrieval,Axiom,Computer science,Judgement,Knowledge management,Algorithm
Conference
10621
ISSN
Citations 
PageRank 
0302-9743
1
0.35
References 
Authors
5
6
Name
Order
Citations
PageRank
Daniele Porello19023.55
Nicolas Troquard226629.54
Roberto Confalonieri314426.90
Pietro Galliani447.54
Oliver Kutz583972.56
Rafael Peñaloza645962.80