PelletReasoner Class |
Namespace: VDS.RDF.Query.Inference
The PelletReasoner type exposes the following members.
| Name | Description | |
|---|---|---|
| PelletReasoner(Uri, String) |
Creates a new Pellet Reasoner.
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| PelletReasoner(PelletServer, String) |
Creates a new Pellet Reasoner.
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| Name | Description | |
|---|---|---|
| KnowledgeBase |
Gets the Knowledge Base this Reasoner operates over.
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| Server |
Gets the Pellet Server this Reasoner operates on.
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| Unsatisfiable |
Returns the enumeration of unsatisfiable classes.
|
| Name | Description | |
|---|---|---|
| Add |
Adds a Graph to the Knowledge Base.
| |
| Classify |
Extracts the triples which comprise the class hierarchy.
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| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
| ExecuteQuery |
Executes a SPARQL Query against the underlying Knowledge Base.
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| Extract(IEnumerableString) |
Extracts all possible triples using the given extraction modes.
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| Extract(String) |
Extracts all possible triples using the given extraction mode.
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| Extract(IGraph, INode) |
Extract a reasoning enhanced sub-graph from the given Graph rooted at the given Node.
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| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
| GetType | Gets the Type of the current instance. (Inherited from Object.) | |
| IsConsistent |
Returns whether the underlying knowledge base is consistent.
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| IsConsistent(IGraph) |
Returns whether the given Graph is consistent with the underlying knowledge base.
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| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
| Realize |
Extracts the triples which comprise the class hierarchy and individuals of those classes.
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| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Note: Currently this reasoner operates only on a external knowledge base and there is currently no way to introduce new knowledge bases/data through the dotNetRDF API.