KNOW@LOD 2012, Knowledge Discovery and Data Mining Meets Linked Open Data : proceedings of the First International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data
The title of a journal, publication series:
CEUR Workshop Proceedings
Volume:
868
Page range:
13-18
Conference title:
First international workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD)
Ontology matching approaches have mostly worked on the schema level so far. With the advent of Linked Open Data and the availability of a massive amount of instance information, instance-based approaches become possible. This position paper discusses approaches and challenges for using those instances as input for machine learning algorithms, with a focus on rule learning algorithms, as a means for ontology
matching.
Dieser Eintrag ist Teil der Universitätsbibliographie.
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