Please use this identifier to cite or link to this item:
doi:10.22028/D291-24813
Title: | Declarative operations on nets |
Author(s): | Boley, Harold |
Language: | English |
Year of Publication: | 1990 |
OPUS Source: | Kaiserslautern ; Saarbrücken : DFKI, 1990 |
SWD key words: | Künstliche Intelligenz Semantisches Netz |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | To increase the expressiveness of knowledge representations, the graph-theoretical basis of semantic networks is reconsidered. Directed labeled graphs are generalized to directed recursive labelnode hypergraphs, which permit a most natural representation of multi-level structures and n-ary relationships. This net formalism is embedded into the relational/functional programming language RELFUN. Operations on (generalized) graphs are specified in a declarative fashion to enhance readability and maintainability. For this, nets are represented as nested RELFUN terms kept in a normal form by rules associated directly with their constructors. These rules rely on equational axioms postulated in the formal definition of the generalized graphs as a constructor algebra. Certain kinds of sharing in net diagrams are mirrored by binding common subterms to logical variables. A package of declarative transformations on net terms is developed. It includes generalized set operations, structure-reducing operations, and extended path searching. The generation of parts lists is given as an application in mechanical engineering. Finally, imperative net storage and retrieval operations are discussed. |
Link to this record: | urn:nbn:de:bsz:291-scidok-35595 hdl:20.500.11880/24869 http://dx.doi.org/10.22028/D291-24813 |
Series name: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Series volume: | 90-12 |
Date of registration: | 7-Apr-2011 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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File | Description | Size | Format | |
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RR_90_12.pdf | 20,67 MB | Adobe PDF | View/Open |
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