dragon.nlp.ontology.mesh

Class MeshSimilarity

java.lang.Object

dragon.nlp.ontology.mesh.MeshSimilarity

All Implemented Interfaces:

SimilarityMetric

public class MeshSimilarity
extends Object
implements SimilarityMetric

Similarity measures of comparing two MeSH nodes

Copyright: Copyright (c) 2006

Company: Drexel University

Version:

1.0

Author:

Xiaodan Zhang

Field Summary

Fields

Modifier and Type	Field and Description
static int	FEATURE
static int	JIANG
static int	JING
static int	KNAPPE
static int	LEACOCK
static int	LI
static int	LIN
static int	MAO
static int	MIN_LEN
static int	RESINK
static int	WU_PALMER

Constructor Summary

Constructors

Constructor and Description
MeshSimilarity(String hierFile, int similarityMode)

Method Summary

Modifier and Type	Method and Description
void	genSimilarityMatrix(String matrixFile, double threshold)
String[]	getAncestors(String path)
String	getCommonParent(String path1, String path2)
int	getDepth(String path)
ArrayList	getDescendant(String path)
int	getDescendantNum(String path)
int	getMaxPathLen(String path)
MeshNodeList	getMeshNodeList()
int	getMinLen(String path1, String path2)
int	getMinLen(String path1, String path2, String coParent)
String	getParent(String path)
String	getRoot(String path)
String[]	getSharedAncestors(String path1, String path2)
double	getSimilarity(String path1, String path2)
double	getSimilarity(Term a, Term b) Computes the similarity between two onotlogical terms.
String[]	getUnionAncestors(String path1, String path2)
boolean	isRoot(String path)
void	trainWeightByInformationContent(ArrayList trainings)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

MIN_LEN

public static final int MIN_LEN

See Also:

Constant Field Values

WU_PALMER

public static final int WU_PALMER

See Also:

Constant Field Values

LI

public static final int LI

See Also:

Constant Field Values

LEACOCK

public static final int LEACOCK

See Also:

Constant Field Values

JING

public static final int JING

See Also:

Constant Field Values

LIN

public static final int LIN

See Also:

Constant Field Values

JIANG

public static final int JIANG

See Also:

Constant Field Values

RESINK

public static final int RESINK

See Also:

Constant Field Values

MAO

public static final int MAO

See Also:

Constant Field Values

FEATURE

public static final int FEATURE

See Also:

Constant Field Values

KNAPPE

public static final int KNAPPE

See Also:

Constant Field Values

Constructor Detail

MeshSimilarity

public MeshSimilarity(String hierFile,
                      int similarityMode)

Method Detail

getParent

public String getParent(String path)

getAncestors

public String[] getAncestors(String path)

getSharedAncestors

public String[] getSharedAncestors(String path1,
                                   String path2)

getUnionAncestors

public String[] getUnionAncestors(String path1,
                                  String path2)

getRoot

public String getRoot(String path)

isRoot

public boolean isRoot(String path)

getCommonParent

public String getCommonParent(String path1,
                              String path2)

getDescendantNum

public int getDescendantNum(String path)

getDescendant

public ArrayList getDescendant(String path)

getMaxPathLen

public int getMaxPathLen(String path)

getMinLen

public int getMinLen(String path1,
                     String path2)

getMinLen

public int getMinLen(String path1,
                     String path2,
                     String coParent)

getDepth

public int getDepth(String path)

getMeshNodeList

public MeshNodeList getMeshNodeList()

trainWeightByInformationContent

public void trainWeightByInformationContent(ArrayList trainings)

genSimilarityMatrix

public void genSimilarityMatrix(String matrixFile,
                                double threshold)

getSimilarity

public double getSimilarity(String path1,
                            String path2)

getSimilarity

public double getSimilarity(Term a,
                            Term b)

Description copied from interface: SimilarityMetric

Computes the similarity between two onotlogical terms.

Specified by:

getSimilarity in interface SimilarityMetric

Parameters:

a - the first term

b - the second term

Returns:

the similarity between two onotlogical terms.