I think Nicola's idea is understanding the context of a business
domain, for instance an aerospace supplier or business area like
aerospace supply, from Supply Chain to Industrial Product Design to
Human Resources so conceptual modeling might, if I am characterizing
his point correctly, also be thought about as context modeling, e.g.
the context in which a problem, such as container sealant
malfunction, occurs to which we want to provide a solution. If we
understand the context ontologically, it will be quicker to isolate
the factors involved from
- raw latex supply during a given season that was drier than
normal
- resulting in a more concentrated raw product,
- where climate, agriculture and geospatial factors are in play,
to
- transport, where container shipments were delayed by pirate
activity off the Somali coast
- where social factors are in play, to
- negligent management during a necessary overtime shift in
which
- human resource factors come into play, to
- inadequate product testing,
- where overused equipment is operating out of its optimal
temperature range, to
- loss of pressurization in a container in a storage module in
the International Space Station,
- resulting in food spoilage
- traced to container sealant malfunction.
This will be quicker because we should be able to quickly get
results from a query on the factors involved in the use, manufacture
and shipping of materials involved in container sealants. This is
hypothetical. However, it illustrates another point: the
interdependence of factors involved in any given business domain.
On 3/3/11 10:08 AM, AzamatAbdoullaev wrote:
Here is another sample of a formal and obscure notion: "conceptual
modeling". How the mentioned stakeholders, (i) policy makers, (ii) budget
holders, (iii) Technology Decision Makers (CIOs and Architects), (iv)
Implementers (engineers and developers), (v) users/consumers of the
technology, and (vi) educators, are supposed to read it. What its scope,
constraints, context, variety, and meanings may be for each interested
party, if it's about:
1. a model of concept, like AI conceptual models,
2. a domain model/problem model, like the UML's class diagram, describing
its key concepts, attributes, and relationships,
3. reality model, representing the real world entities, properties, and
relationships.
Azamat
----- Original Message -----
From: "Nicola Guarino" <guarino@xxxxxxxxxx>
To: "Ontology Summit 2011 discussion" <ontology-summit@xxxxxxxxxxxxxxxx>
Sent: Thursday, March 03, 2011 6:37 PM
Subject: Re: [ontology-summit] [OAF] [Case studies]
Dear Michaels,
something which is missing from the OAF picture on the community wiki is
the use of ontologies for conceptual modelling, and in general for
understanding a domain. This is clearly mentioned in the paper cited below
(and in many other places, of course), and was also emerging from the
online discussion (which I am following only sporadically, I admit...).
Talking to you soon,
Nicola
P.S. I find the bullet on "Semantic augmentation" a bit confusing, let's
think about how to improve it...
On 3 Mar 2011, at 04:31, Michael F Uschold wrote:
Population of a Framework for Understanding and Classifying Ontology
Applications
I remember this from way back, someone took the ontology application
framework Jasper and I created and populated it. Might be worth skimming
again for those interseted in the case studies and the ontology
application framework tracks.
Abstract. A framework[1] recently developed for understanding
and classifying ontology applications provides opportunities to
review the state of the art, and to provide guidelines for application
developers from different communities. The framework identifies
four main categories of ontology applications: neutral authoring,
ontology as specification, common access to information, and
ontology-based search. Specific scenarios are outlined for each
category, and a number of features have been identified to
highlight the similarities and differences between them. In this
paper we populate the scenarios with a number of prominent
research and industrial applications within diverse communities
such as knowledge engineering, heterogenous information systems
integration, enterprise modelling, Web based applications, and
object-oriented distributed systems. Population of the framework
should allow different communities to discover applications that
fulfil specific purposes and benefits, to discover what roles the
ontology plays, who the principle actors are and what they do, and
what supporting technologies are used for these applications.
Potential application developers can examine the descriptions in
the populated framework to inspire them to use different methods
and technologies for their specific applications.
--
Michael Uschold, PhD
Senior Ontology Consultant, Semantic Arts
LinkedIn: http://tr.im/limfu
Skype, Twitter: UscholdM
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