<p style="text-align:justify;">
The continuous evolution of life science ontologies requires the adaptation of their mappings to other ontologies. We propose two approaches for tackling this problem in a largely automatic way: (1) a composition-based adaptation relying on the principle of mapping composition and (2) a diff-based adaptation algorithm individually handling change operations to update the mapping. Both techniques reuse unaffected correspondences, and adapt only the affected mapping part. We experimentally assess and confirm the effectiveness of our approaches for evolving mappings between large life science ontologies.
</p>

<h2>Keywords</h2>
<ul>
<li>Mapping Adaptation</li>
<li>Mapping Migration</li>
<li>Mapping Evolution</li>
<li>Ontology Evolution</li>
<li>Ontology Mapping</li>
<li>Ontology Alignment</li>
</ul>

<h2 id="bibtex_heading">BibTex</h2>
<pre id="bibtex_listing">
@inproceedings{gross_dils2013,
author = {Anika Gro{\\ss} and
J{\\'u}lio Cesar dos Reis and
Michael Hartung and
C{\\'e}dric Pruski and
Erhard Rahm},
title = {Semi-automatic Adaptation of Mappings between Life Science Ontologies},
booktitle = {Data Integration in the Life Sciences},
year = {2013},
pages = {90-104}
}
</pre>