Submissions:Term-based – record-based model – thesaurus to lightweight ontology
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Revision as of 21:11, 26 August 2009
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General information
Name | Term-based thesaurus to lightweight ontology – record-based model |
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Problem | re-engineering a term-based thesaurus which follows the record-based
model to design a lightweight ontology. |
Non-Ontological Resource
Description | 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. |
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Graphical Representation |
Diagram |
Ontology
Description | 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. An equivalentClass relation is defined between the new classes for the UF/USE relation. |
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Graphical Representation |
Diagram (this article has no graphical representation) |
Process
Description | 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. Create the corresponding ontology class, Cq class, if it is not created yet. 2.7.2. Set up the equivalentClass relation between Cq and Ci 2.7.3. Repeat from step 2.6 for cq as a new ci. |
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Graphical Representation |
Diagram (this article has no graphical representation) |
Scenario example
Description | 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. |
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Example of a Non-Ontological Resource
Description | 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. |
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Graphical Representation |
Diagram |
Web Reference | http://libserver.cedefop.europa.eu/ett/en/ |
Ontology example
Description | 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. An equivalentClass relation is defined between the new classes for the UF/USE relation. |
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Graphical Representation |
Diagram (this article has no graphical representation) |
Web Reference |
Process example
Description | 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. Create the achievement class and assert that achievement is equivalentClass of performance. 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. |
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Graphical Representation |
Diagram (this article has no graphical representation) |
About
SubmittedBy | Boris Villazón Terrazas |
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Author | Boris Villazón Terrazas |
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Other References |
Scenarios
No scenario is added to this Content OP.
Reviews
Review article | Posted on | About revision (current is 5630) |
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PierluigiMiraglia about Term-based thesaurus to lightweight ontology – record-based model | 24550838 September 2009 | 56305,630 |
MartaSabou about Term-based thesaurus to lightweight ontology – record-based model | 24550838 September 2009 | 57035,703 |
This revision (revision ID 5630) takes in account the reviews: none
Other info at evaluation tab
Submission to event |
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