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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb001...
Part of book or chapter of book . 2005 . Peer-reviewed
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Taxon: A concept language with concrete domains

Authors: Philipp Hanschke; Andreas Abecker; Dennis Drollinger;

Taxon: A concept language with concrete domains

Abstract

Concept languages based on KL-ONE [Brachman and Schmolze, 1985] are used to represent the taxonomical and conceptual knowledge of a particular problem domain on an abstract logical level. To describe this kind of knowledge, one starts with atomic concepts and roles, and defines new concepts using the operations provided by the language. Concepts can be considered as unary predicates which are interpreted as sets of individuals, and roles as binary predicates which are interpreted as binary relations bdtween individuals. Examples for atomic concepts may be Human and Male, and for roles child. If the logical connective of conjunction "n" is present as a language construct, one may describe the concept Man as "humans who are male", and represent it by the expression Human N Male. Many languages provide quantification over role fillers which allows for example to describe the concept Father by the expression Man N 3child.Human. KL-ONE was first developed for the purpose of natural language processing [Brazhman et al., 1979], and some of the existing systems are still mostly used in this context (see e.g., SB-ONE [Kobsa, 1989]). However, its success in this area has also led to applications in other fields (see e.g., MESON [Edelmann and Owsnicki, 1986] which is used for computer configuration tasks, CLASSIC [Borgida et al., 1989] which is e.g. used in the area of CAD/CAM, or K-REP [Mays et al., 1988] which is used in a financial marketing domain).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
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