document: Web ontology segmentation : analysis , classification and use Ontologies are at the heart of the semantic web . They define the concepts and relationships that make global interoperability possible . However , as these ontologies grow in size they become more and more difficult to create , use , understand , maintain , transform and classify . We present and evaluate several algorithms for extracting relevant segments out of large description logic ontologies for the purposes of increasing tractability for both humans and computers . The segments are not mere fragments , but stand alone as ontologies in their own right . This technique takes advantage of the detailed semantics captured within an OWL ontology to produce highly relevant segments . The research was evaluated using the GALEN ontology of medical terms and procedures .
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