This paper stems from previous works of the same authors in which a declarative semantics for Peer-to-Peer (P2P) systems, defined in terms of Preferred Weak Models, is proposed. Under this semantics only facts not making the local databases inconsistent can be imported. As in the general case a P2P system may admit many preferred weak models whose computational complexity is prohibitive, the paper looks for a more pragmatic solution. It assigns to a P2P system its Well Founded Model, a partial deterministic model that captures the intuition that if an atom is true in a preferred weak model, but it is false in another one, then it is undefined in the well founded model. The paper presents a distributed algorithm for the computation of the well founded model and a system prototype.

P2P deductive databases: Well founded semantics and distributed computation

Caroprese L.;
2017-01-01

Abstract

This paper stems from previous works of the same authors in which a declarative semantics for Peer-to-Peer (P2P) systems, defined in terms of Preferred Weak Models, is proposed. Under this semantics only facts not making the local databases inconsistent can be imported. As in the general case a P2P system may admit many preferred weak models whose computational complexity is prohibitive, the paper looks for a more pragmatic solution. It assigns to a P2P system its Well Founded Model, a partial deterministic model that captures the intuition that if an atom is true in a preferred weak model, but it is false in another one, then it is undefined in the well founded model. The paper presents a distributed algorithm for the computation of the well founded model and a system prototype.
2017
Communications in Computer and Information Science
Inglese
21st European Conference on Advances in Databases and Information Systems, ADBIS 2017 and 1st workshop on Data Driven Approaches for Analyzing and Managing Scholarly Data, AMSD 2017, 1st workshop on Novel Techniques for Integrating Big Data, BigNovelTI 2017, 1st International workshop on Data Science: Methodologies and Use-Cases, DaS 2017, 2nd International workshop on Semantic Web for Cultural Heritage, SW4CH 2017
2017
cyp
767
91
99
9
978-3-319-67161-1
978-3-319-67162-8
Springer Verlag
no
none
Caroprese, L.; Zumpano, E.
273
info:eu-repo/semantics/conferenceObject
2
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/794928
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