Use this URL to cite or link to this record in EThOS:
Title: Selective sharing : a dialogical approach to ontology matching
Author: Santos, Gabrielle
ISNI:       0000 0004 7428 6216
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2018
Availability of Full Text:
Access from EThOS:
Access from Institution:
Ontologies are used by agents to model knowledge for their representation of a world. In order for different agents to communicate with each other, it is necessary to align their respective ontologies. Due to the heterogeneous nature of these representations, this requires that a common meaning is established to allow accurate and successful communication over a given task. Traditional ontology alignment techniques rely on the full disclosure of ontological models, which aim to find the optimal set of correspondences to map entities from one ontology to another. Due to privacy concerns amongst other issues, these approaches may not always be pragmatic or acceptable in open and opportunistic environments. Despite this, within the ontology matching community, development of alignment techniques in order to align a full ontology, has focused on centralised approaches. Limited attention has been given to addressing these issues through application of a decentralised approach, capable of avoiding full disclosure of data. In this thesis a novel dialogue is presented, which allows for selective data sharing during ontology alignment between agents, via a decentralised negotiation mechanism. This negotiation mechanism enables strategic agreement over correspondences between agents with limited or no prior knowledge of their opponent's ontology. Therefore both agents are able to reach a mutual agreement over an alignment through selective disclosure of their ontological knowledge and their specific strategies. In this thesis, the dialogue mechanism is formally introduced, with discussion of its behaviour, properties and outcomes.
Supervisor: Tamma, Valentina ; Payne, Terry Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral