A Data Source Discovery Method using Several Domain Ontologies in P2P Environments (2014, IRIT research report)

TL;DR

This paper introduces DAMT, a data source discovery method in P2P environments that effectively handles semantic heterogeneity using domain ontologies and a flexible topology, improving lookup efficiency and reducing maintenance costs.

Contribution

The paper presents DAMT, a novel discovery approach that adapts to any mapping topology between domain ontologies and enhances peer-to-peer data source discovery.

Findings

Good performance in inter-VO lookup queries

Significant reduction in maintenance costs

Effective handling of semantic heterogeneity

Abstract

Several data source discovery methods take into account the semantic heterogeneity problems by using several Domain Ontologies (DOs). However, most of them impose a topology of mapping links between DOs. DOs and mapping links are available on Internet but with an arbitrary topology. In this paper, we propose a data source Discovery method Adapted to any Mapping links Topology (DAMT) and taking into account semantic problems. Peers using the same DO are grouped in a Virtual Organization (VO) and connected in a Distributed Hash Table (DHT). Lookups within a same VO consists in a classical search in a DHT. Regarding the inter-VO discovery process, we propose an addressing system, based on the existing mapping links between DOs, to interconnect VOs. Furthermore, we adopt a lazy maintenance in order to reduce the number of messages required to update the system due to the dynamicity of peers. The performance analysis of the proposed method shows good results for inter-VO lookup queries. Also, it confirms a significant maintenance cost reduction when peers join and leave the system.