Ontology Loading Module Sample Clauses

Ontology Loading Module. As is the case in AgreementMaker, the AML ontology loading module is cur- rently based on the Jena2 ontology API (Jena), and the first step in the loading process is to read the ontology file into memory as a Jena OntModel. The dif- xxxxxxx between the two systems is that AML stores in internal data structures all the information from the OntModel that is necessary for ontology match- ing, whereas AgreementMaker keeps the OntModel in memory throughout the matching process. After using Jena to read an input ontology file, the AML ontology loading module extracts from the OntModel the following information, which is linked together under an Ontology Object: – The URI or the ontology. – A list of URI of all named classes in the ontology that belong to the ontology’s namespace. – A list of local names of all listed classes. – A list of the synonym properties used in the ontology (e.g., hasExactSyn- onym, hasRelatedSynonym). External Ontology Lexicon Source Ontology Target Ontology Lexicon Lexicon Matchers Relationship Map Relationship Map Alignment Selector(s) Fig. 2. Schema of the AgreementMakerLight Ontology Matching Module – A Lexicon that contains the local names of all listed classes (when they are not alphanumeric codes), their labels, and all their synonyms (as declared in synonym property statements). – A RelationshipMap that contains the is a and part of relationships between all listed classes (with transitive closure) plus all disjoint clauses between the listed classes (without transitive closure). Building the RelationshipMap is optional, since the relationships are unnecessary for many matching algorithms, and this step takes approximately 60% of the total ontology loading time. In particular, the RelationshipMap is not built when loading external ontologies to use as background knowledge, as only their Lexicon is necessary for this purpose. Even when the RelationshipMap is built, the whole ontology loading process is fairly quick: in our 4 core CPU server with 16 GB total RAM, small ontologies (under 10,000 classes) are loaded in 1 or 2 seconds and even very large ontologies (approximately 120,000 classes) are loaded in under 150 seconds.
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