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Fig. 4. Example of a domain ontology external annotation

Figure 4 Example of a domain ontology external annotation

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An alternative way to define clusters of terms can be represented by a special- ization of a general superstructure: the structure could be either a foundational ontology (as, for example, the well-known DOLCE ontology [11]) or a general high level ontology that is specific for the domain of interest.
An alternative way to define clusters of terms can be represented by a special- ization of a general superstructure: the structure could be either a foundational ontology (as, for example, the well-known DOLCE ontology [11]) or a general high level ontology that is specific for the domain of interest.
Output: updated table of clusters, updated glossary. In the output document for this phase it is useful to keep track of the added terms: in the given example, in the Source column we specify with “A” that a term has been added, and with “O” if it belongs to the original terms. During this phase, it is possible to enrich the original glossary with other terms not contained in the original glossary.
Output: updated table of clusters, updated glossary. In the output document for this phase it is useful to keep track of the added terms: in the given example, in the Source column we specify with “A” that a term has been added, and with “O” if it belongs to the original terms. During this phase, it is possible to enrich the original glossary with other terms not contained in the original glossary.
Output: table of concepts, updated with class groupings. Input: table of concepts. Using a graphical modelling formalism (such as E-R diagrams or UML models), proceed through the following steps: Find concepts that represent subclasses of the cluster they are in. Group concepts belonging to the new found classes. In general, try to create a partition of the cluster, possibly adding new classes at the same level of the found subclasses.
Output: table of concepts, updated with class groupings. Input: table of concepts. Using a graphical modelling formalism (such as E-R diagrams or UML models), proceed through the following steps: Find concepts that represent subclasses of the cluster they are in. Group concepts belonging to the new found classes. In general, try to create a partition of the cluster, possibly adding new classes at the same level of the found subclasses.
Fig. 3. Integration schema Fig. 2. Refinement for AnatomicPart and relation hasContinuity
Fig. 3. Integration schema Fig. 2. Refinement for AnatomicPart and relation hasContinuity
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Computer ScienceInformation RetrievalOntologyOntology DevelopmentUpper OntologyDomain Ontology
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