/**
* Finds the vertex mapping
*
* @param g1Vertices - graph g1 vertices that need to be matched with graph g1 vertices
* @param g2Vertices - graph g2 vertices
* @param threshold - if node similarity is >= than threshold then these nodes are considered to
* be matched.
* @param stemmer - stemmer for wrord stemming, if == null, then english stemmer is used
* @param gateways - if == 0, then gateways are not matched, if == 1, then only parent are looked,
* if == 2, then only children are looked
* @return matching vertex pairs
*/
public static ArrayList<VertexPair> getMappingsVetrex(
ArrayList<Vertex> g1Vertices,
ArrayList<Vertex> g2Vertices,
double threshold,
SnowballStemmer stemmer,
int gateways) {
ArrayList<VertexPair> solutionMappings = new ArrayList<VertexPair>();
if (g1Vertices.size() == 0 || g2Vertices.size() == 0) {
return solutionMappings;
}
if (stemmer == null) {
stemmer = Settings.getEnglishStemmer();
}
ArrayList<Vertex> g1Vertices_fe = new ArrayList<Vertex>();
ArrayList<Vertex> g2Vertices_fe = new ArrayList<Vertex>();
for (Vertex v : g1Vertices) {
if (!v.getType().equals(Vertex.Type.gateway)) {
g1Vertices_fe.add(v);
}
}
for (Vertex v : g2Vertices) {
if (!v.getType().equals(Vertex.Type.gateway)) {
g2Vertices_fe.add(v);
}
}
if (g1Vertices_fe.size() > 0 && g2Vertices_fe.size() > 0) {
int dimFunc =
g1Vertices_fe.size() > g2Vertices_fe.size() ? g1Vertices_fe.size() : g2Vertices_fe.size();
double costs[][] = new double[dimFunc][dimFunc];
double costsCopy[][] = new double[dimFunc][dimFunc];
int nrZeros = 0;
// function mapping score
for (int i = 0; i < g1Vertices_fe.size(); i++) {
for (int j = 0; j < g2Vertices_fe.size(); j++) {
double edScore = 0;
if (g1Vertices_fe.get(i).getType().equals(g2Vertices_fe.get(j).getType())
&& g1Vertices_fe.get(i).getLabel() != null
&& g2Vertices_fe.get(j).getLabel() != null) {
edScore =
LabelEditDistance.edTokensWithStemming(
g1Vertices_fe.get(i).getLabel(),
g2Vertices_fe.get(j).getLabel(),
Settings.STRING_DELIMETER,
stemmer,
true);
}
if (edScore < threshold) edScore = 0;
if (edScore == 0) {
nrZeros++;
}
costs[i][j] = (-1) * edScore;
}
}
if (nrZeros != g1Vertices_fe.size() * g2Vertices_fe.size()) {
for (int i = 0; i < costs.length; i++) {
for (int j = 0; j < costs[0].length; j++) {
costsCopy[i][j] = costs[i][j];
}
}
int[][] result = HungarianAlgorithm.computeAssignments(costsCopy);
for (int i = 0; i < result.length; i++) {
double pairCost = (-1) * costs[result[i][0]][result[i][1]];
if (result[i][0] < g1Vertices_fe.size()
&& result[i][1] < g2Vertices_fe.size()
&& pairCost >= threshold
&& AssingmentProblem.canMap(
g1Vertices_fe.get(result[i][0]), g2Vertices_fe.get(result[i][1]))) {
solutionMappings.add(
new VertexPair(
g1Vertices_fe.get(result[i][0]), g2Vertices_fe.get(result[i][1]), pairCost));
}
}
}
}
if (gateways > 0) {
solutionMappings.addAll(
getMappingsGateways(g1Vertices, g2Vertices, threshold, stemmer, gateways));
}
return solutionMappings;
}
public static ArrayList<VertexPair> getMappingsVetrexUsingNodeMapping(
Graph g1, Graph g2, double threshold, double semanticThreshold) {
ArrayList<Vertex> g1Vertices = (ArrayList<Vertex>) g1.getVertices();
ArrayList<Vertex> g2Vertices = (ArrayList<Vertex>) g2.getVertices();
ArrayList<VertexPair> solutionMappings = new ArrayList<VertexPair>();
if (g1Vertices.size() == 0 || g2Vertices.size() == 0) {
return solutionMappings;
}
if (g1Vertices.size() > 0 && g2Vertices.size() > 0) {
int dimFunc = g1Vertices.size() > g2Vertices.size() ? g1Vertices.size() : g2Vertices.size();
double costs[][] = new double[dimFunc][dimFunc];
double costsCopy[][] = new double[dimFunc][dimFunc];
int nrZeros = 0;
// function mapping score
for (int i = 0; i < g1Vertices.size(); i++) {
for (int j = 0; j < g2Vertices.size(); j++) {
double edScore =
NodeSimilarity.findNodeSimilarity(g1Vertices.get(i), g2Vertices.get(j), threshold);
if (g1Vertices.get(i).getType().equals(Type.gateway)
&& g2Vertices.get(j).getType().equals(Type.gateway)
&& edScore < semanticThreshold) {
edScore = 0;
} else if (!(g1Vertices.get(i).getType().equals(Type.gateway)
&& g2Vertices.get(j).getType().equals(Type.gateway))
&& edScore < threshold) edScore = 0;
if (edScore == 0) {
nrZeros++;
}
costs[i][j] = (-1) * edScore;
}
}
if (nrZeros != g1Vertices.size() * g2Vertices.size()) {
for (int i = 0; i < costs.length; i++) {
for (int j = 0; j < costs[0].length; j++) {
costsCopy[i][j] = costs[i][j];
}
}
int[][] result = HungarianAlgorithm.computeAssignments(costsCopy);
for (int i = 0; i < result.length; i++) {
double pairCost = (-1) * costs[result[i][0]][result[i][1]];
if (result[i][0] < g1Vertices.size()
&& result[i][1] < g2Vertices.size()
&& pairCost > 0
&& AssingmentProblem.canMap(
g1Vertices.get(result[i][0]), g2Vertices.get(result[i][1]))) {
solutionMappings.add(
new VertexPair(
g1Vertices.get(result[i][0]), g2Vertices.get(result[i][1]), pairCost));
}
}
}
}
return solutionMappings;
}