The work plan of LeoLOD consists of four R&D work packages with associated tasks:
| WP1. Advanced management of ontology learning from Linked Open Data |
- T1.1 Re-use and extension of ontology change vocabulary
- T1.2 Developing provenance model for learnt ontology axioms
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| WP2. Algorithms for query-based ontology learning |
- T2.1 Developing theoretical foundations for query-based pattern mining
- T2.2 Constructing algorithms for learning ontology axioms
- T2.3 Constructing algorithms for change detection for ontology evolution
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| WP3 The LeoLOD plug-in |
- T3.1 Defining the LeoLOD Architecture
- T3.2 Developing a Reference LeoLOD implementation v1
- T3.3 Developing a Reference LeoLOD implementation v2
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| WP4 Evaluation and experiments |
- T4.1 Experiments on ontology learning
- T4.2 Experiments on change detection for ontology evolution
- T4.3 Final evaluation of developed tool (plug-in)
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