| GeneralDescription
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A non-ontological resource holds a term-ba … A non-ontological resource holds a term-based thesaurus which follows the record-based model.
A thesaurus represents the knowledge of a domain with a collection of terms and a limited set of relations between them.
The record-based data model is a denormalized structure, uses a record for every term with the information about the term, such as synonyms, broader, narrower and related terms. nyms, broader, narrower and related terms.,
The generated ontology will be based on th … The generated ontology will be based on the lightweight ontology architectural pattern (AP-LW-01). Each thesaurus term is mapped to a class. A subClassOf relation is defined between the new classes for the BT/NT relation. A relatedClass relation is defined between the new classes for the RT relation. For the UF/USE relations the SynonymOrEquivalence (SOE) pattern is applied. nymOrEquivalence (SOE) pattern is applied.,
1. Identify the records which contain thes … 1. Identify the records which contain thesaurus terms without a broader term.
2. For each one of the above identified thesaurus terms ti:
2.1. Create the corresponding ontology class, Ci class, if it is not created yet.
2.2. Identify the thesaurus term, tj , which are narrower terms of ti. They are referenced
in the same record which contains ti.
2.3. For each one of the above identified thesaurus term tj :
2.3.1. Create the corresponding ontology class, Cj class, if it is not created yet.
2.3.2. Set up the subClassOf relation between Cj and Ci
2.3.3. Repeat from step 2.2 for cj as a new ci
2.4. Identify the thesaurus term, tr, which are related terms of ti. They are referenced
in the same record which contains ti.
2.5. For each one of the above identified thesaurus term tr:
2.5.1. Create the corresponding ontology class, Cr class, if it is not created yet.
2.5.2. Set up the relatedClass relation between Cr and Ci
2.5.3. Repeat from step 2.4 for cr as a new ci
2.6. Identify the thesaurus term, tq, which are equivalent terms of ti. They are
referenced in the same record which contains ti.
2.7. For each one of the above identified thesaurus term tq:
2.7.1. Apply the SynonymOrEquivalence (SOE) pattern. ly the SynonymOrEquivalence (SOE) pattern.,
Suppose that someone wants to build a lightweight ontology based on the European Training
Thesaurus (ETT), which is a term-based thesaurus and it follows the record-based model.,
The European Training Thesaurus (ETT) constitutes the controlled vocabulary of reference
in the field of vocational education and training (VET) in Europe.
The relation semantics between the sub-ordinate and the super-ordinate concepts is
subClassOf.,
The generated ontology will be based on th … The generated ontology will be based on the lightweight ontology architectural pattern (AP-LW-01). Each thesaurus term is mapped to a class. A subClassOf relation is defined between the new classes for the BT/NT relation. A relatedClass relation is defined between the new classes for the RT relation. For the UF/USE relations the SynonymOrEquivalence (SOE) pattern Is applied. nymOrEquivalence (SOE) pattern Is applied.,
1. Create the learning class and the perso … 1. Create the learning class and the personal development class.
2. Create the competence class and assert that competence is subClassOf
learning.
3. Create the performance class and assert that performance is subClassOf
development.
4. Assert that achievement is label of the performance class.
5. Assert that competence is relatedClass of performance.
6. Create the learning class and assert that learning is equivalentClass of
competence.
6.1. Create the efficiency class and assert that efficiency is subClassOf
performance.
6.2. Create the failure class and assert that failure is subClassOf
performance.
6.3. Create the success class and assert that success is subClassOf
performance. rt that success is subClassOf
performance.
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