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|
Identifier |
000386820 |
Title |
A diagnosis and repair framework for DL-LiteA knowledge bases |
Alternative Title |
Πλαίσιο εντοπισμού και επιδιόθρωσης λαθών σε γνωσιακές βάσεις DL-LiteA |
Author
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Χόρτης, Μιχάλης
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Reviewer
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Φλουρής, Γεώργιος
Πλεξουσάκης, Δήμήτριος
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Thesis advisor
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Χριστοφίδης, Βασίλης
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Abstract |
Several logical formalisms have been proposed in the literature for expressing
structural and semantic integrity constraints of Linked Open Data (LOD). Still,
the data quality of the datasets published in the LOD Cloud needs to be improved,
as published linked data often violate such constraints. This lack of consistency
may jeopardise the value of applications consuming linked data in an automatic
way.A major challenge in this respect, is to provide to the curators of linked data
knowledge bases (KBs), the tools that will help them in detecting the violations of
integrity constraints and in resolving them, in order to render the knowledge base
valid and improve its data quality.
In this work, we propose a novel, fully automatic framework for detecting violations
of integrity constraints (diagnosis) in KBs, by executing the appropriate
queries over the data, as well as for resolving those violations (repair ), by removing
invalid data from the KB. Our approach takes into consideration both explicit and
inferred ontology knowledge, by relying on the ontology language DL-LiteA for the
expression of several useful types of logical constraints and for the detection of data
that are inconsistent with those constraints, while maintaining good computational
properties.
The framework that is proposed in this work is modular, allowing each component
to be implemented in a manner independent to the other components. This
way, we are able to implement our framework with using off-the-shelf, state-of-theart
tools for several features, such as reasoning, query execution, etc.
We have implemented and evaluated our framework, showing that it is scalable
for large datasets and numbers of invalidities, which are exhibited in reality by
reference linked datasets, such as DBpedia. The evaluation also shows that our
framework can be used over already deployed knowledge bases, without any further
reconfiguration.
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Language |
English, Greek |
Subject |
DL-LiteaA Constraints |
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Diagonis |
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Integrity constraints |
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Repairing |
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Διάγνωση |
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Επιδιόρθωση |
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Περιορισμοί DL-LiteA |
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Περιορισμοί ακεραιότητας |
Issue date |
2014-07-25 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
|
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Type of Work--Post-graduate theses
|
Permanent Link |
https://elocus.lib.uoc.gr//dlib/f/b/f/metadata-dlib-1409566202-236963-23167.tkl
|
Views |
641 |