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doi:10.22028/D291-24963
Titel: | A refined architecture for terminological systems : terminology = schema + views |
VerfasserIn: | Buchheit, Martin Donini, Francesco M. Nutt, Werner Schaerf, Andrea |
Sprache: | Englisch |
Erscheinungsjahr: | 1995 |
Quelle: | Kaiserslautern ; Saarbrücken : DFKI, 1995 |
Kontrollierte Schlagwörter: | Künstliche Intelligenz |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Forschungsbericht (Report zu Forschungsprojekten) |
Abstract: | Traditionally, the core of a Terminological Knowledge Representation System (TKRS) consists of a TBox, where concepts are introduced, and an ABox, where facts about individuals are stated in terms of concept memberships. This design has a drawback because in most applications the TBox has to meet two functions at a time: On the one hand - similarly to a database schema - frame-like structures with type information are introduced through primitive concepts and primitive roles; on the other hand, views on the objects in the knowledge base are provided through defined concepts. We propose to account for this conceptual separation by partitioning the TBox into two components for primitive and defined concepts, which we call the schema and the view part.We envision the two parts to differ with respect to the language for concepts, the statements allowed, and the semantics. We argue that this separation achieves more conceptual clarity about the role of primitive and defined concepts and the semantics of terminological cycles. Three case studies show the computational benefits to be gained from the refined architecture. |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291-scidok-37502 hdl:20.500.11880/25019 http://dx.doi.org/10.22028/D291-24963 |
Schriftenreihe: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Band: | 95-09 |
Datum des Eintrags: | 30-Jun-2011 |
Fakultät: | SE - Sonstige Einrichtungen |
Fachrichtung: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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RR_95_09.pdf | 828,76 kB | Adobe PDF | Öffnen/Anzeigen |
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