Mutual relationships between logic programming and RDF are examined. Basic RDF is formalized with ground binaryDatalog Horn facts. Containers are modeled using (‘active’) polyadic constructors. For meta-statements a modal-logic treatment is suggested. To reduce large fact sets, an “inferential RDF”, with special Horn rules, is introduced. A direct representation of non-binaryrelations is proposed. Reification is thus abandonned and RDF diagrams are generalized using hypergraphs. RDF types are considered as sort predicates. RDF Schema’s class/propertyhierarc hies are regarded as a second-order subsumes/ subsumes2 syntax or as simple Horn rules. Its domain/range constraints are extended to (polymorphic) signatures. All concepts are explained via knowledge-representation examples as usable byinformation agents.
%0 Journal Article
%1 Boley2001
%A Boley, Harold
%D 2001
%J LNAI 2112
%K kiwi
%P 18
%T Relationship between logic programming and RDF
%X Mutual relationships between logic programming and RDF are examined. Basic RDF is formalized with ground binaryDatalog Horn facts. Containers are modeled using (‘active’) polyadic constructors. For meta-statements a modal-logic treatment is suggested. To reduce large fact sets, an “inferential RDF”, with special Horn rules, is introduced. A direct representation of non-binaryrelations is proposed. Reification is thus abandonned and RDF diagrams are generalized using hypergraphs. RDF types are considered as sort predicates. RDF Schema’s class/propertyhierarc hies are regarded as a second-order subsumes/ subsumes2 syntax or as simple Horn rules. Its domain/range constraints are extended to (polymorphic) signatures. All concepts are explained via knowledge-representation examples as usable byinformation agents.
@article{Boley2001,
abstract = {Mutual relationships between logic programming and RDF are examined. Basic RDF is formalized with ground binaryDatalog Horn facts. Containers are modeled using (‘active’) polyadic constructors. For meta-statements a modal-logic treatment is suggested. To reduce large fact sets, an “inferential RDF”, with special Horn rules, is introduced. A direct representation of non-binaryrelations is proposed. Reification is thus abandonned and RDF diagrams are generalized using hypergraphs. RDF types are considered as sort predicates. RDF Schema’s class/propertyhierarc hies are regarded as a second-order subsumes/ subsumes2 syntax or as simple Horn rules. Its domain/range constraints are extended to (polymorphic) signatures. All concepts are explained via knowledge-representation examples as usable byinformation agents.},
added-at = {2008-11-14T13:33:38.000+0100},
author = {Boley, Harold},
biburl = {https://www.bibsonomy.org/bibtex/2f188f546c443afdd67bfe000f2645ee1/fraktalek},
citeulike-article-id = {3508741},
interhash = {ff49757d835e8e285baeaae278004016},
intrahash = {f188f546c443afdd67bfe000f2645ee1},
journal = {LNAI 2112},
keywords = {kiwi},
pages = 18,
posted-at = {2008-11-13 14:13:53},
priority = {2},
timestamp = {2008-11-14T13:33:40.000+0100},
title = {Relationship between logic programming and RDF},
year = 2001
}