Querying Distributed Data through Distributed Ontologies: A Simple but Scalable Approach

Authors:
Francois Goasdoue;Marie-Christine Rousset
Affiliations:
Université Paris-Sud;Université Paris-Sud
Venue:
IEEE Intelligent Systems
Year:
2003

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Abstract

This article presents a simple but scalable framework for peer-to-peer data-sharing systems, in which the problem of answering queries over a network of semantically related peers is always decidable. The authors' approach is characterized by a simple class-based language for defining peer schemas as hierarchies of atomic classes, and mappings as inclusions of logical combinations of atomic classes. They provide an anytime and incremental method for computing all the answers to a query posed to a given peer such that the answers are ordered from ones involving peers close to the queried peer to those involving more distant peers.