Managing Semantic Loss during Query Reformulation in Peer Data Management Systems
Yannis Delveroudis, Paraskevas V. Lekeas
TL;DR
This paper addresses semantic loss in Peer Data Management Systems by defining the problem, proposing a detection mechanism, and developing an algorithm to restore lost semantics, with ongoing evaluation.
Contribution
It introduces a formal notion of semantic loss in PDMS and presents a novel algorithm to detect and restore such loss during query reformulation.
Findings
Mechanism to discover semantic loss in PDMS networks
Algorithm for restoring semantic loss in queries
Ongoing evaluation of the proposed algorithm
Abstract
In this paper we deal with the notion of semantic loss in Peer Data Management Systems (PDMS) queries. We define such a notion and we give a mechanism that discovers semantic loss in a PDMS network. Next, we propose an algorithm that addresses the problem of restoring such a loss. Further evaluation of our proposed algorithm is an ongoing work
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