Tourism Industry Semantic Web
Using Genetic Algorithms And
SWTGAS Agent
By
Omid Sharifi
January 30, 2008
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[email protected]
Outline
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Semantic Web
E-tourism
E-tourism for Semantic Web
Soft mining
Genetic algorithms
SWTGAS agent
Applications of SWTGAS in E-Tourism
Conclusion
Semantic web
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Evolution of current web
Interoperability of ontologies
Understandable hetrognous information
 Human
 Computer
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E-tourism
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Syntactic
Advertising (commercial goal)
E-tourism
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Genetic algorithms
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Genetic algorithms
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Genetic algorithms
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Genetic algorithms
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Genetic algorithms
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SWTGAS
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Semantic
Web
Tourism
Genetic
Algorithms
Searching
SWTGAS
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SWTGAS
int parent1[8];
int parent2[8];
int offspring[8];
int
Temp[8];
int
Temp2[8];
int
Temp2[8];
int
N=8;
Temp:=randomize (parent1(3));
offspring:=Temp;// put Temp to offspring to equal indexes
For (int i=0;i<=n-1)
{
if (any indexes not selected)
parent1= order rest genes by order parent2(prototype);
}
Temp2=divide rest ordered genes two section and put the large section to Tempe2
Temp3=put less section
offspring=temp2; //large section to large section
offspring=temp3; //less section to less section
return 0;
}
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SWTGAS and E-Tourism
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SWTGAS and E-Tourism
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SWTGAS and E-Tourism
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SWTGAS and E-Tourism
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SWTGAS and E-Tourism
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SWTGAS and E-Tourism
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SWTGAS and E-Tourism
Embedded
SWTGAS
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Conclusion
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Semantic Web has a huge potential for
E-tourism
More complex E-tourism services, beyond
information services, benefit from semantic
Web technology and other intelligent agent
SWTGAS helps to E-tourism
END
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