Rough ontologies from an ontology engineering perspective

Somewhere buried in the blogpost about the DL’10 workshop, I mentioned the topic of my paper [1] at the 23^rd International Description Logics Workshop (DL’10), which concerned the feasibility of rough DL knowledge bases. That paper was focussed on the theoretical assessment (result: there are serious theoretical hurdles for rough DL KBs) and had a rather short section where experimental results were crammed into the odd page (result: one can squeeze at least something out of the extant languages and tools, but more should be possible in the near future). More recently, my paper [2] submitted to the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW’10) got accepted, which focuses on the ontology engineering side of rough ontologies and therefore has a lot more information on how one can squeeze something out of the extant languages and tools; if that is not enough, there is also supplementary material that people can play with.

Ideally, they ought to go together in on paper to get a good overview at once, but there are page limits for conference papers and anyhow the last word has not been said about rough ontologies. For what it is worth, I have put the two together in the slides for the weekly KRDB Lunch Seminar that I will present tomorrow at, well, lunch hour in the seminar room on the first floor of the POS building.

References

[1] Keet, C. M. On the feasibility of Description Logic knowledge bases with rough concepts and vague instances. Proc. of DL’10, 4-7 May 2010, Waterloo, Canada. pp314-324.

[2] Keet, C. M. Ontology engineering with rough concepts and instances.  17th International Conference on Knowledge Engineering and Knowledge Management (EKAW’10). 11-15 October 2010, Lisbon, Portugal.  Springer LNCS.

Advertisement