Dear Sjir,
Dear Colleagues,
This is the opening post for Track C: Building Ontologies to Meet Evaluation Criteria.
When you make posts on this track please us the {quality-methodology} label in the subject line as I have above.
Background
There are two approaches to assuring the quality of an ontology: [[Sjir: Ontology is currently an homonym; please make first a series of clear definitions (enriched with many examples) such that the homonym problem is solved.]],
MW: Well I’m not sure there is a generally agreed definitions of what an ontology is, but we are not talking about the philosophical study of what exists. My definition for the purposes of this summit is:
A formal (i.e. computer processable) representation of (some of) the things that exists and (some of) the rules that govern them.
Examples can be as diverse as Cyc, a database schema, and Master Data.
1. Measure the quality of the result against the requirements that it should meet and fix the defects. [[Sjir: I suggest to take the three principles (Helsinki, 100 % and Conceptual) of ISO TR9007 into account.]]
MW: I’m sorry, I don’t follow you there. Could you elaborate please?
2. Use a process or methodology to ensure the quality of the resultant ontology. [[Sjir: I stongly agree with this.]]
That is, Proactive versus Reactive.
The advantage of using a methodology are that you get it (or at least more of it) right first time, thus avoiding the cost of rework to fix the defects. [[Sjir: I stongly agree with this.]]
- Do such methodologies exist for ontologies? [[Sjir: that depends on what you mean by ontology. Informally yes, but that is outside the “ontology”” community.]]
MW: I believe there are also some within the “ontology” community, as well as the broader data modelling/relational database community.
Regards
Matthew West
Information Junction
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- How mature are they?
- Do they take account of different ontology roles, lifecycles? [[Sjir: yes, lifecycles have tob a taken into account if you want it become mainstream.]]
- Do they take account of the different usages of ontologies
- As applications
- As integrating ontologies between applications?
We hope to investigate the state of the art in ontology development methodologies in respect of how they contribute to ontology quality, including key achievements and gaps that currently exist.
Achievements: what's there?
Gaps: what's not there?
Our objectives include:
1. Examine the explicit and implicit methodologies that are known to exist.
2. Understand the role that upper ontologies play in ontology development methodologies.
3. Understand the role of ontological patterns in ontology development methodologies.
4. Identify how to apply the intrinsic and extrinsic aspects of ontology evaluation identified by the other tracks, within the applicable development methodologies.
5. Identifying how to frame the applicable ontology development methodologies within the frameworks of established quality assurance regimes (such as ISO 9000 and CMMI) for industrial applications.
Do you think there are some other objectives we should set ourselves? What is your experience in these areas?
As well as the discussion here, we have two virtual sessions on 7 Feb and March where invited speakers will present on some of the above.
Regards
Matthew West and Mike Bennett
Track C Co-Champions
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