Multi-Dimensional Inheritance

dc.creatorErbach, Gregor
dc.date1994-11-17
dc.date.accessioned2026-07-07T09:09:40Z
dc.date.available2026-07-07T09:09:40Z
dc.descriptionIn this paper, we present an alternative approach to multiple inheritance for typed feature structures. In our approach, a feature structure can be associated with several types coming from different hierarchies (dimensions). In case of multiple inheritance, a type has supertypes from different hierarchies. We contrast this approach with approaches based on a single type hierarchy where a feature structure has only one unique most general type, and multiple inheritance involves computation of greatest lower bounds in the hierarchy. The proposed approach supports current linguistic analyses in constraint-based formalisms like HPSG, inheritance in the lexicon, and knowledge representation for NLP systems. Finally, we show that multi-dimensional inheritance hierarchies can be compiled into a Prolog term representation, which allows to compute the conjunction of two types efficiently by Prolog term unification.
dc.description9 pages, styles: a4,figfont,eepic,epsf
dc.identifierhttps://arxiv.org/abs/cmp-lg/9411025
dc.identifierhttp://arxiv.org/abs/cmp-lg/9411025
dc.identifierProceedings of KONVENS 94 (ed. H. Trost), Vienna, pp. 102-111
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151116
dc.subjectComputation and Language
dc.titleMulti-Dimensional Inheritance
dc.typetext

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