Sentence examples for rules reasoning from inspiring English sources

For instance, OWL-Q [29], an extensible ontological specification for semantic QoS-based WS description, bypass this limitation by extending OWL with SWRL rules reasoning about relations between properties in order to enforce constraints.

The system also relies on some SWRL-built-in libraries, which include an implementation of the core SWRL built-ins, as well as mathematical built-ins, to support the use of complex expressions in rules, reasoning with temporal information and querying OLW ontologies.

It is composed of three parts: reasoning rules, reasoning objects, and distributed reasoning algorithm.

The current work lays a solid foundation on fuzzy rule reasoning in the Semantic Web.

The integrated system has the advantages of both neural networks (i.e., learning, adapting and optimization) and fuzzy systems such as human-like "if then" rule reasoning, and the readiness to incorporate expert knowledge.

However, the iterative identification of compounds with more complex substructures, such as those relevant in the classification of lipids, fails with rule reasoning using DB10 for the majority of molecules in the database.

In terms of performance for queries that were successful, both DL-safe rule reasoning and SPARQL-based querying are 1-4 ofders of magnitude slower than using Open Babel, and DL-safe rules are 1-2 ofders of magnitude slower than SPARQL queries.

While the rule base contains a selection of the fuzzy rules, the reasoning mechanism performs the inference procedure upon those rules to derive a reasonable output.

On rule-based reasoning, Siler notes that rules have, "…shown the greatest flexibility and similarity to human thought processes…" [22].

In addition, it fails Distribution, a serious limitation that rules out reasoning by cases.

This is, in fact, one of the major assumptions behind Hume's own Rules of Reasoning.