Coherent Top-k Ontology Alignment for OWL EL


Noessner, Jan ; Niepert, Mathias ; Stuckenschmidt, Heiner



DOI: https://doi.org/10.1007/978-3-642-23963-2_32
URL: https://link.springer.com/chapter/10.1007%2F978-3-...
Document Type: Conference or workshop publication
Year of publication: 2011
Book title: Scalable Uncertainty Management : 5th International Conference, SUM 2011, Dayton, OH, USA; proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 6929
Page range: 415-427
Conference title: SUM 2011
Location of the conference venue: Dayton, OH
Date of the conference: October 10-13, 2011
Author/Publisher of the book
(only the first ones mentioned)
:
Benferhat, Salem
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-642-23962-5 , 978-3-642-23963-2
Publication language: English
Institution: Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: The integration of distributed information sources is a key challenge in data and knowledge management applications. Instances of this problem range from mapping schemas of heterogeneous databases to object reconciliation in linked open data repositories. In this paper, we approach the problem of aligning description logic ontologies. We focus particularly on the problem of computing coherent alignments, that is, alignments that do not lead to unsatisfiable classes in the resulting merged ontologies. We believe that considering coherence during the alignment process is important as it is this logical concept that distinguishes ontology alignment from other data integration problems. Depending on the heterogeneity of the ontologies it is often more reasonable to generate alignments with at most k correspondences because not every entity has a matchable counterpart. We describe both greedy and optimal algorithms for computing coherent top-k alignments between OWL EL ontologies and assess their performance relative to state-of-the-art matching systems.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Noessner, Jan ; Niepert, Mathias ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 Coherent Top-k Ontology Alignment for OWL EL. Benferhat, Salem Lecture Notes in Computer Science 6929 415-427 In: Scalable Uncertainty Management : 5th International Conference, SUM 2011, Dayton, OH, USA; proceedings (2011) Berlin [u.a.] SUM 2011 (Dayton, OH) [Conference or workshop publication]


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