Campus Event Calendar
Event Entry
New for: D3
What and Who
Optimizing Recursive Queries in RDF Knowledge Bases
Mohamed Yahya
International Max Planck Research School for Computer Science - IMPRS
IMPRS Research Seminar
AG 1, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Thursday, 20 May 2010
13:00
60 Minutes
E1 4
024
Saarbrücken
Abstract
The RDF data model is a simple yet powerful one used for representing
data in a manner that makes it easy for humans to deal with large
collections of information while still being easily machine-readable.
Ontologies, such as Yago, contain a great deal of information that is
represented in RDF format. Ontologies will usually contain some
inconsistencies and exhibit incompleteness either because the way in
which they were extracted or the nature of the sources they were
collected from. One possible way of resolving both issues is to append
rules describing the domain with which the ontology deals. Such rules
are potentially recursive: the definition of one rule can depend on
multiple rules, whose definition, in turn, can depend on the
definition if the first rule. Query processing in such a setting is
known to be very expensive. This thesis explores the issues involved
in implementing a query processor for such a setting.
data in a manner that makes it easy for humans to deal with large
collections of information while still being easily machine-readable.
Ontologies, such as Yago, contain a great deal of information that is
represented in RDF format. Ontologies will usually contain some
inconsistencies and exhibit incompleteness either because the way in
which they were extracted or the nature of the sources they were
collected from. One possible way of resolving both issues is to append
rules describing the domain with which the ontology deals. Such rules
are potentially recursive: the definition of one rule can depend on
multiple rules, whose definition, in turn, can depend on the
definition if the first rule. Query processing in such a setting is
known to be very expensive. This thesis explores the issues involved
in implementing a query processor for such a setting.
Contact
Jennifer Gerling
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Jennifer Gerling, 05/17/2010 11:23 -- Created document.