Dear Quentin, (01)
Thank you for this input. (02)
By scarce resources, I was principally thinking of people with particular
skills, but it could also relate to high performance hardware for example. (03)
Regards (04)
Matthew West (05)
From: devilspawn1980@xxxxxxxxxxxxxx [mailto:devilspawn1980@xxxxxxxxxxxxxx]
On Behalf Of Quentin Reul
Sent: 20 January 2014 15:42
To: dr.matthew.west@xxxxxxxxx; ontology-summit@xxxxxxxxxxxxxxxx
Subject: Re: [ontology-summit] [Bottlenecks] Identifying Bottlenecks in
Ontology Engineering (06)
Hi Matthew, (07)
I work as a Content Semantics architect at Wolters Kluwer, where we are
developing ontologies to represent documents and their metadata. As part of
this work, I have experienced difficulties (or bottlenecks) in the
application of ontologies. (08)
Please find attached my answers to your questions: (09)
* What is it that takes a lot of time and effort? There are 2 tasks
that are rather time-consuming; (i) the extraction of the knowledge from
Subject-Matter experts (SMEs), and (ii) the explanation of the model to
developers using it.
* What is it that is very expensive? The extraction of the knowledge
is expensive as most SMEs have a "ideal" vision of what their knowledge is
and tend to differ from the actions / reasoning they actually use. For
instance, doctors will answer questions theoretically when their reasoning
while consulting patients tend to be different.
* What is it that is held up because of a lack of scarce resources? I
am not quite sure what you refer to as "scarce resources"
* Why is it that ontological approaches are not taken when they
could/should be? Time constraint on the delivery of the ontological
artifacts mean that the model and its implementation are generally not
separated. (010)
Kind regards, (011)
Quentin Reul (012)
www.linkedin.com/in/quentinreul <http://www.linkedin.com/in/quentinreul> (013)
On 18 January 2014 03:33, Matthew West <dr.matthew.west@xxxxxxxxx
<mailto:dr.matthew.west@xxxxxxxxx> > wrote: (014)
Dear Colleagues, (015)
This year's Ontology Summit (016)
http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2014 (017)
has as its topic: "Big Data and Semantic Web Meet Applied Ontology". (018)
Track C of the programme is: "Overcoming Ontology Engineering Bottlenecks" (019)
http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2014_Overcoming_Ontolo
gy_Engineering_Bottlenecks_Synthesis (020)
So to kick Track C off, we would like to invite you to help us identify the
key bottlenecks in ontology engineering for Big Data and the Semantic Web. (021)
- What is it that takes a lot of time and effort? (022)
- What is it that is very expensive? (023)
- What is it that is held up because of a lack of scarce resources? (024)
- Why is it that ontological approaches are not taken when they
could/should be? (025)
Please let us know on this thread, and/or add to our community input page: (026)
http://ontolog.cim3.net/cgi-bin/wiki.pl?action=edit
<http://ontolog.cim3.net/cgi-bin/wiki.pl?action=edit
<http://ontolog.cim3.net/cgi-bin/wiki.pl?action=edit&id=OntologySummit2014_O
> &id=OntologySummit2014_O
vercoming_Ontology_Engineering_Bottlenecks_CommunityInput>
&id=OntologySummit2014_Overcoming_Ontology_Engineering_Bottlenecks_Community
Input (027)
Regards (028)
Matthew West, Pascal Hitzler, Krzysztof Janowicz (029)
Track C Co-Champions (030)
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