A framework for modeling and evaluating automatic semantic reconciliation

The introduction of the Semantic Web vision and the shift toward machine understandable Web resources has unearthed the importance of automatic semantic reconciliation. Consequently, new tools for automating the process were proposed. In this work we present a formal model of semantic reconciliation...

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Bibliographic Details
Published in:The VLDB journal 2005-03, Vol.14 (1), p.50-67
Main Authors: GAL, Avigdor, ANABY-TAVOR, Ateret, TROMBETTA, Alberto, MONTESI, Danilo
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Exact sciences and technology
Software
Software engineering
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
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Summary:The introduction of the Semantic Web vision and the shift toward machine understandable Web resources has unearthed the importance of automatic semantic reconciliation. Consequently, new tools for automating the process were proposed. In this work we present a formal model of semantic reconciliation and analyze in a systematic manner the properties of the process outcome, primarily the inherent uncertainty of the matching process and how it reflects on the resulting mappings. An important feature of this research is the identification and analysis of factors that impact the effectiveness of algorithms for automatic semantic reconciliation, leading, it is hoped, to the design of better algorithms by reducing the uncertainty of existing algorithms. Against this background we empirically study the aptitude of two algorithms to correctly match concepts. This research is both timely and practical in light of recent attempts to develop and utilize methods for automatic semantic reconciliation.
ISSN:1066-8888
0949-877X
DOI:10.1007/s00778-003-0115-z