Ontological Engineering consists of Ontology Management Activities they contain Scheduling, Control and Quality Assurance. On the other side one has Ontology Support Activities which have the Knowledge Acquisition as the most important thing and Evaluation, Documentation, Integration, Merging, Alignment and Configuration Management. Then there are Ontology Development Orientated Activities which contains a Pre-Development Phase with an Environment Study and Feasibility Study. During Development Phase Specification, Conceptualization, Formalization and Implementation take place. In the Post-Development Phase there is Maintenance, Use and Reuse.
Only comparison is not enough sometimes one need to combine Ontologies. Especially if one wants to try to reuse existing Ontologies and want to adapt them to a new Problem, then one applies Ontology Merging.
Then there are methods to support the Ontological Engineering like learning new Ontologies from a given set of already available resources (Ontology Learning) or the population of existing Ontologies where one has only Classes and Relations with Individuals that come from other Information Resources for example Text Documents.
Ontology Engineering shall be very
intuitive and as
simple as possible, but at the same time
allow deep sophistication. One way to approach this would be to enable the
simple creation of Triplicates with an
attractive interface and then allow, if desired, to
refine such Associations in greater detail. Optimally, the Crowd needs to define what suits them the best.