Title
Querying Distributed Data through Distributed Ontologies: A Simple but Scalable Approach
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.
Year
DOI
Venue
2003
10.1109/MIS.2003.1234771
Intelligent Systems, IEEE
Keywords
DocType
Volume
this framework for peer-to-peer data- sharing systems allows efficient query answering over a network of semantically related peers. a simple class-based language appropriate for practical applications defines peer schemas as hierarchies of atomic classes and mappings as inclusions of logical combinations of atomic classes.,scalable approach,distant peer,semantically related peer,scalable framework,peer-to-peer data-sharing system,simple class-based language,logical combination,incremental method,atomic class,languages,information theory,semantic web,general systems theory,knowledge representation,information integration,internet,distributed databases
Conference
18
Issue
ISSN
Citations 
5
1541-1672
18
PageRank 
References 
Authors
0.91
10
2
Name
Order
Citations
PageRank
François Goasdoué139735.18
Marie-Christine Rousset21258159.51