Towards Rule Learning Approaches to Instance-based Ontology Matching

First International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data

Frederik Janssen1, Faraz Fallahi2 Jan Noessner3, and Heiko Paulheim1 1 Knowledge Engineering Group, TU Darmstadt, Hochschulstrasse 10, 64289 Darmstadt, Germany ; 2 ontoprise GmbH ; An der Raumfabrik 29 ; 76227 Karlsruhe ; Germany ; 3 KR ; KM Research Group

Others  :  http://ceur-ws.org/Vol-868/paper2.pdf
PID  :  43551

来源: CEUR

【 摘 要 】

Ontology matching approaches have mostly worked on theschema level so far. With the advent of Linked Open Data and the avail- ability of a massive amount of instance information, instance-based ap- proaches become possible. This position paper discusses approaches and challenges for using those instances as input for machine learning algo- rithms, with a focus on rule learning algorithms, as a means for ontology