Campus Event Calendar
Event Entry
What and Who
Automatic ontology creation for XML classification
Natalie Kozlova
IMPRS-CS
Masters' Lunch
AG 1, AG 2, AG 3, AG 4, AG 5
Note: We use this to send email in the morning.
Date, Time and Location
Tuesday, 9 November 2004
12:59
-- Not specified --
46.1 - MPII
024
Saarbrücken
Abstract
The amount of information in the nowadays world is enormous.
Automatic classification can help. Traditional methods suffer from synonymy,
polysemy and word usage pattern problems. Using ontological knowledge we can try to
match words by sense, reveal synonymy and polysemy. WordNet is well-known ontology
developed by human but it's overcrowded with meanings and mutual relations.
The challenging task is to be able to create ontology automatically, with minimal human
supervising.
Automatic classification can help. Traditional methods suffer from synonymy,
polysemy and word usage pattern problems. Using ontological knowledge we can try to
match words by sense, reveal synonymy and polysemy. WordNet is well-known ontology
developed by human but it's overcrowded with meanings and mutual relations.
The challenging task is to be able to create ontology automatically, with minimal human
supervising.
Contact
Kerstin Kathy Meyer-Ross
93 25 226
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Kerstin Meyer-Ross, 11/04/2004 15:47 -- Created document.