Source Code Cross Referenced for OWLRuleTranslationHook.java in  » RSS-RDF » Jena-2.5.5 » com » hp » hpl » jena » reasoner » rulesys » impl » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » RSS RDF » Jena 2.5.5 » com.hp.hpl.jena.reasoner.rulesys.impl 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        /******************************************************************
002:         * File:        OWLRuleTranslationHook.java
003:         * Created by:  Dave Reynolds
004:         * Created on:  22-Jun-2003
005:         * 
006:         * (c) Copyright 2003, 2004, 2005, 2006, 2007, 2008 Hewlett-Packard Development Company, LP
007:         * [See end of file]
008:         * $Id: OWLRuleTranslationHook.java,v 1.11 2008/01/02 12:06:15 andy_seaborne Exp $
009:         *****************************************************************/package com.hp.hpl.jena.reasoner.rulesys.impl;
010:
011:        import com.hp.hpl.jena.reasoner.rulesys.*;
012:        import com.hp.hpl.jena.reasoner.*;
013:        import com.hp.hpl.jena.graph.*;
014:        import com.hp.hpl.jena.vocabulary.*;
015:
016:        import java.util.*;
017:
018:        /**
019:         * A rule preprocessor that scans the data looking for interesection
020:         * definitions and augements the rule base by translations of the
021:         * intersection statement.
022:         * 
023:         * @author <a href="mailto:der@hplb.hpl.hp.com">Dave Reynolds</a>
024:         * @version $Revision: 1.11 $ on $Date: 2008/01/02 12:06:15 $
025:         */
026:        public class OWLRuleTranslationHook implements  RulePreprocessHook {
027:
028:            /**
029:             * Invoke the preprocessing hook. This will be called during the
030:             * preparation time of the hybrid reasoner.
031:             * @param infGraph the inference graph which is being prepared,
032:             * the hook code can use this to addDeductions or add additional
033:             * rules (using addRuleDuringPrepare).
034:             * @param dataFind the finder which packages up the raw data (both
035:             * schema and data bind) and any cached transitive closures.
036:             * @param inserts a temporary graph into which the hook should insert
037:             * all new deductions that should be seen by the rules.
038:             */
039:            public void run(FBRuleInfGraph infGraph, Finder dataFind,
040:                    Graph inserts) {
041:                Iterator it = dataFind.find(new TriplePattern(null,
042:                        OWL.intersectionOf.asNode(), null));
043:                while (it.hasNext()) {
044:                    Triple decl = (Triple) it.next();
045:                    Node className = decl.getSubject();
046:                    List elements = new ArrayList();
047:                    translateIntersectionList(decl.getObject(), dataFind,
048:                            elements);
049:                    // Generate the corresponding ruleset
050:                    List recognitionBody = new ArrayList();
051:                    Node var = new Node_RuleVariable("?x", 0);
052:                    for (Iterator i = elements.iterator(); i.hasNext();) {
053:                        Node description = (Node) i.next();
054:                        // Implication rule
055:                        Rule ir = new Rule("intersectionImplication",
056:                                new ClauseEntry[] { new TriplePattern(
057:                                        className, RDFS.subClassOf.asNode(),
058:                                        description) }, new ClauseEntry[0]);
059:                        ir.setBackward(false);
060:                        //                System.out.println("translation hook => " + ir);
061:                        infGraph.addRuleDuringPrepare(ir);
062:                        // Recognition rule elements
063:                        recognitionBody.add(new TriplePattern(var, RDF.type
064:                                .asNode(), description));
065:                    }
066:                    List recognitionHead = new ArrayList(1);
067:                    recognitionHead.add(new TriplePattern(var, RDF.type
068:                            .asNode(), className));
069:                    Rule rr = new Rule("intersectionRecognition",
070:                            recognitionHead, recognitionBody);
071:                    rr.setBackward(true);
072:                    //            System.out.println("translation hook => " + rr);
073:                    infGraph.addRuleDuringPrepare(rr);
074:                }
075:            }
076:
077:            /**
078:             * Translation code to translate a list of intersection elements into a 
079:             * Java list of corresponding class names or restriction functors.
080:             * @param node the list node currently being processed
081:             * @param data the source data to use as a context for this processing
082:             * @param elements the list of elements found so far
083:             */
084:            protected static void translateIntersectionList(Node node,
085:                    Finder dataFind, List elements) {
086:                if (node == null) {
087:                    throw new ReasonerException(
088:                            "Illegal list structure in owl:intersectionOf");
089:                }
090:                if (node.equals(RDF.nil.asNode())) {
091:                    return; // end of list
092:                }
093:                Node description = Util.getPropValue(node, RDF.first.asNode(),
094:                        dataFind);
095:                if (description == null) {
096:                    throw new ReasonerException(
097:                            "Illegal list structure in owl:intersectionOf");
098:                }
099:                // Translate the first description element
100:                /* - temp comment out during debugging
101:                if (dataFind.contains(new TriplePattern(description, RDF.type.asNode(), OWL.Restriction.asNode()))) {
102:                    // Process a restriction element
103:                    Node onprop = Util.getPropValue(description, OWL.onProperty.asNode(), dataFind);
104:                    Node value;
105:                    if ((value = Util.getPropValue(description, OWL.allValuesFrom.asNode(), dataFind)) != null) {
106:                        elements.add(Functor.makeFunctorNode("all", new Node[] {onprop, value}));
107:                    } else if ((value = Util.getPropValue(description, OWL.someValuesFrom.asNode(), dataFind)) != null) {
108:                        elements.add(Functor.makeFunctorNode("some", new Node[] {onprop, value}));
109:                    } else if ((value = Util.getPropValue(description, OWL.hasValue.asNode(), dataFind)) != null) {
110:                        elements.add(Functor.makeFunctorNode("hasValue", new Node[] {onprop, value}));
111:                    } else if ((value = Util.getPropValue(description, OWL.minCardinality.asNode(), dataFind)) != null) {
112:                        elements.add(Functor.makeFunctorNode("min", new Node[] {onprop, value}));
113:                    } else if ((value = Util.getPropValue(description, OWL.maxCardinality.asNode(), dataFind)) != null) {
114:                        elements.add(Functor.makeFunctorNode("max", new Node[] {onprop, value}));
115:                    } else if ((value = Util.getPropValue(description, OWL.cardinality.asNode(), dataFind)) != null) {
116:                        elements.add(Functor.makeFunctorNode("max", new Node[] {onprop, value}));
117:                        elements.add(Functor.makeFunctorNode("min", new Node[] {onprop, value}));
118:                    } else {
119:                        elements.add(description);
120:                    }
121:                } else {
122:                    // Assume its a class name
123:                    elements.add(description);
124:                }
125:                 */
126:                // Above used to translated intersections into direct functor tests but in fact the
127:                // references to the restriction bNode is sufficent and a better match to the current rules
128:                elements.add(description);
129:                // Process the list tail
130:                Node next = Util
131:                        .getPropValue(node, RDF.rest.asNode(), dataFind);
132:                translateIntersectionList(next, dataFind, elements);
133:            }
134:
135:            /**
136:             * Validate a triple add to see if it should reinvoke the hook. If so
137:             * then the inference will be restarted at next prepare time. Incremental
138:             * re-processing is not yet supported.
139:             */
140:            public boolean needsRerun(FBRuleInfGraph infGraph, Triple t) {
141:                return (t.getPredicate().equals(OWL.intersectionOf.asNode()));
142:            }
143:
144:        }
145:
146:        /*
147:         (c) Copyright 2003, 2004, 2005, 2006, 2007, 2008 Hewlett-Packard Development Company, LP
148:         All rights reserved.
149:
150:         Redistribution and use in source and binary forms, with or without
151:         modification, are permitted provided that the following conditions
152:         are met:
153:
154:         1. Redistributions of source code must retain the above copyright
155:         notice, this list of conditions and the following disclaimer.
156:
157:         2. Redistributions in binary form must reproduce the above copyright
158:         notice, this list of conditions and the following disclaimer in the
159:         documentation and/or other materials provided with the distribution.
160:
161:         3. The name of the author may not be used to endorse or promote products
162:         derived from this software without specific prior written permission.
163:
164:         THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
165:         IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
166:         OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
167:         IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
168:         INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
169:         NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
170:         DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
171:         THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
172:         (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
173:         THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
174:         */
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