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Tourism Industry Semantic Web Using Genetic Algorithms And SWTGAS Agent. By Omid Sharifi January 30, 2008 Omid.sharifi@cc.emu.edu.tr. Outline. Semantic Web E-tourism E-tourism for Semantic Web Soft mining Genetic algorithms SWTGAS agent Applications of SWTGAS in E-Tourism
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Tourism Industry Semantic Web Using Genetic Algorithms And SWTGAS Agent By Omid Sharifi January 30, 2008 Omid.sharifi@cc.emu.edu.tr
Outline • Semantic Web • E-tourism • E-tourism for Semantic Web • Soft mining • Genetic algorithms • SWTGAS agent • Applications of SWTGAS in E-Tourism • Conclusion
Semantic web • Evolution of current web • Interoperability of ontologies • Understandable hetrognous information • Human • Computer
E-tourism • Syntactic • Advertising (commercial goal)
SWTGAS • Semantic • Web • Tourism • Genetic • Algorithms • Searching
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; } SWTGAS
SWTGAS and E-Tourism Embedded SWTGAS
Conclusion • 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