Tourism Industry Semantic Web Using Genetic Algorithms And SWTGAS Agent

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Tourism Industry Semantic Web Using Genetic
Algorithms And SWTGAS Agent

• By Omid Sharifi
• January 30, 2008
• Omid.sharifi_at_cc.emu.edu.tr

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Outline

• Semantic Web
• E-tourism
• E-tourism for Semantic Web
• Soft mining
• Genetic algorithms
• SWTGAS agent
• Applications of SWTGAS in E-Tourism
• Conclusion

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Semantic web

• Evolution of current web
• Interoperability of ontologies
• Understandable hetrognous information
• Human
• Computer

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E-tourism

• Syntactic
• Advertising (commercial goal)

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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

• Semantic
• Web
• Tourism
• Genetic
• Algorithms
• Searching

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SWTGAS
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SWTGAS

• int parent18
• int parent28
• int offspring8
• int Temp8
• int Temp28
• int Temp28
• int N8
• Temprandomize (parent1(3))
• offspringTemp// put Temp to offspring to equal
  indexes
• For (int i0iltn-1)
• if (any indexes not selected)
• parent1 order rest genes by order
  parent2(prototype)
• Temp2divide rest ordered genes two section and
  put the large section to Tempe2
• Temp3put less section
• offspringtemp2 //large section to large
  section
• offspringtemp3 //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

• 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

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END