Please use this identifier to cite or link to this item:
doi:10.22028/D291-25365
Title: | Integration von Sorten als ausgezeichnete taxonomische Prädikate in eine relational-funktionale Sprache |
Author(s): | Hall, Victoria |
Language: | German |
Year of Publication: | 1995 |
SWD key words: | Künstliche Intelligenz |
Free key words: | artificial intelligence |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | Sorts are incorperated into RELFUN as distinguished unary predicates usable as first-class citizens. Inheritance is integrated into the unification process via a taxonomy defined by a partial-order relation on the sorts. Sort knowledge describes which individuals belong to a sort (ABOX) and which order dependencies exist between the sorts (TBOX). This special knowledge should be recognizable as such. The separation can be reached by a special (second-order) predicate subsumes or by partitioning the knowledge base. Focusing on partitioning, we can choose a dynamic (run-time) or static (compile-time) model for the unification involving sorted terms. In the static model a precompiler generates an internal structure representing the refiexive-transitive sort closure and the defined individuals of each sort. Using this structure, unification is reduced to list intersectiom (sort-sort unification, succeeding with the glb) 01' a membership test (sort-individual unification). It also provides elementary validation operations for taxonomy acylicity, unique glb's, and the equivalence of intensional (TBOX) and exensional (ABOX) glb's. |
Link to this record: | urn:nbn:de:bsz:291-scidok-55668 hdl:20.500.11880/25421 http://dx.doi.org/10.22028/D291-25365 |
Series name: | Document / Deutsches Forschungszentrum für Künstliche Intelligenz : D [ISSN 0946-0098] |
Series volume: | 95-04 |
Date of registration: | 28-Nov-2013 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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D_95_04.pdf | 22,38 MB | Adobe PDF | View/Open |
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