%0 Journal Article %1 Bassiliades2004 %A Bassiliades, Nick %A Vlahavas, Ioannis %D 2004 %J RuleML 2004, Springer %K kiwi rdf reasoning rules %P 16 %T R-DEVICE: A Deductive RDF Rule Language %X In this paper we present R-DEVICE, a deductive rule language for reasoning about RDF metadata. R-DEVICE includes features such as normal and generalized path expressions, stratified negation, aggregate, grouping, and sorting, functions. The rule language supports a second-order syntax, where variables can range over classes and properties. Users can define views which are materialized and, optionally, incrementally maintained by translating deductive rules into CLIPS production rules. Users can choose between an OPS5/CLIPS-like or a RuleML-like syntax. R-DEVICE is based on a OO RDF data model, different than the established graph model, which maps resources to objects and encapsulates properties inside resource objects, as traditional OO attributes. In this way, less joins are required to access the properties of a single resource resulting in better inferencing/querying performance. The descriptive semantics of RDF may call for dynamic re-definitions of resource classes and objects, which are handled by R-DEVICE effectively.

@article{Bassiliades2004, abstract = {In this paper we present R-DEVICE, a deductive rule language for reasoning about RDF metadata. R-DEVICE includes features such as normal and generalized path expressions, stratified negation, aggregate, grouping, and sorting, functions. The rule language supports a second-order syntax, where variables can range over classes and properties. Users can define views which are materialized and, optionally, incrementally maintained by translating deductive rules into CLIPS production rules. Users can choose between an OPS5/CLIPS-like or a RuleML-like syntax. R-DEVICE is based on a OO RDF data model, different than the established graph model, which maps resources to objects and encapsulates properties inside resource objects, as traditional OO attributes. In this way, less joins are required to access the properties of a single resource resulting in better inferencing/querying performance. The descriptive semantics of RDF may call for dynamic re-definitions of resource classes and objects, which are handled by R-DEVICE effectively.}, added-at = {2008-11-14T13:33:38.000+0100}, author = {Bassiliades, Nick and Vlahavas, Ioannis}, biburl = {https://www.bibsonomy.org/bibtex/27f084c8f29047e447d17c0d6b2079aa5/fraktalek}, citeulike-article-id = {3508728}, interhash = {6c7ac3afefb37d66ef2a9bc89738535e}, intrahash = {7f084c8f29047e447d17c0d6b2079aa5}, journal = {RuleML 2004, Springer}, keywords = {kiwi rdf reasoning rules}, pages = 16, posted-at = {2008-11-13 14:13:53}, priority = {2}, timestamp = {2008-11-14T14:13:11.000+0100}, title = {R-DEVICE: A Deductive RDF Rule Language}, year = 2004 }