Open AccessProceedings Article
Repairing ontology mappings
Christian Meilicke,Heiner Stuckenschmidt,Andrei Tamilin +2 more
- pp 1408-1413
TLDR
The problem of errors in mappings is addressed by proposing a completely automatic debugging method that uses logical reasoning to discover and repair logical inconsistencies caused by erroneous mappings.Abstract:
Automatically discovering semantic relations between ontologies is an important task with respect to overcoming semantic heterogeneity on the semantic web. Existing ontology matching systems, however, often produce erroneous mappings. In this paper, we address the problem of errors in mappings by proposing a completely automatic debugging method for ontology mappings. The method uses logical reasoning to discover and repair logical inconsistencies caused by erroneous mappings. We describe the debugging method and report experiments on mappings submitted to the ontology alignment evaluation challenge that show that the proposed method actually improves mappings created by different matching systems without any human intervention.read more
Citations
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Book
Ontology Matching
Jérôme Euzenat,Pavel Shvaiko +1 more
TL;DR: The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content.
Journal ArticleDOI
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework
TL;DR: This paper presents a dynamic multistrategy ontology alignment framework, named RiMOM, and proposes a systematic approach to quantitatively estimate the similarity characteristics for each alignment task and a strategy selection method to automatically combine the matching strategies based on two estimated factors.
Journal ArticleDOI
Ontology matching with semantic verification
TL;DR: Experimental results show the increased accuracy obtained by combining lexical, structural and extensional matchers with semantic verification, and demonstrate the advantage of using a domain-specific thesaurus for the alignment of specialized ontologies.
Book ChapterDOI
Ten Challenges for Ontology Matching
Pavel Shvaiko,Jérôme Euzenat +1 more
TL;DR: The basics of ontology matching are provided with the help of examples and general trends of the field are presented, thereby aiming to direct research into the critical path and to facilitate progress in the field.
BookDOI
Ontology Engineering in a Networked World
TL;DR: This book by Surez-Figueroa et al. provides the necessary methodological and technological support for the development and use of ontology networks, which ontology developers need in this distributed environment.
References
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BookDOI
The Description Logic Handbook: Theory, Implementation and Applications
TL;DR: The Description Logic Handbook as mentioned in this paper provides a thorough account of the subject, covering all aspects of research in this field, namely: theory, implementation, and applications, and can also be used for self-study or as a reference for knowledge representation and artificial intelligence courses.
Journal ArticleDOI
A theory of diagnosis from first principles
TL;DR: The theory accommodates diagnostic reasoning in a wide variety of practical settings, including digital and analogue circuits, medicine, and database updates, and reveals close connections between diagnostic reasoning and nonmonotonic reasoning.
Book
Ontology Matching
Jérôme Euzenat,Pavel Shvaiko +1 more
TL;DR: The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content.
Results of the Ontology Alignment Evaluation Initiative
Jérôme Euzenat,Malgorzata Mochol,Pavel Shvaiko,Heiner Stuckenschmidt,Ondřej Šváb,Vojtěch Svátek,W.R. van Hage,Mikalai Yatskevich +7 more
Proceedings Article
An intrinsic information content metric for semantic similarity in WordNet
Nuno Seco,Tony Veale,Jer Hayes +2 more
TL;DR: A wholly intrinsic measure of Information Content that relies on hierarchical structure alone is presented, which is consequently easier to calculate, yet when used as the basis of a similarity mechanism it yields judgments that correlate more closely with human assessments than other, extrinsic measures of IC that additionally employ corpus analysis.