Dear Colleagues, (01)
This year's Ontology Summit (02)
http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2014 (03)
has as its topic: "Big Data and Semantic Web Meet Applied Ontology". (04)
Track C of the programme is: "Overcoming Ontology Engineering Bottlenecks" (05)
http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2014_Overcoming_Ontolo
gy_Engineering_Bottlenecks_Synthesis (06)
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. (07)
- What is it that takes a lot of time and effort? (08)
- What is it that is very expensive? (09)
- What is it that is held up because of a lack of scarce resources? (010)
- Why is it that ontological approaches are not taken when they
could/should be? (011)
Please let us know on this thread, and/or add to our community input page: (012)
http://ontolog.cim3.net/cgi-bin/wiki.pl?action=edit
<http://ontolog.cim3.net/cgi-bin/wiki.pl?action=edit&id=OntologySummit2014_O
vercoming_Ontology_Engineering_Bottlenecks_CommunityInput>
&id=OntologySummit2014_Overcoming_Ontology_Engineering_Bottlenecks_Community
Input (013)
Regards (014)
Matthew West, Pascal Hitzler, Krzysztof Janowicz (015)
Track C Co-Champions (016)
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