1. 多媒體網路安全實驗室 Ontological recommendation multi-agent for Tainan City travel Date ： 2012.11.20 Speaker : Hong Ji Wei Authors : Chang-Shing, Lee,Young-Chung Chang, Mei-Hui Wang From : Expert Systems with Applications on Elsevier Vol. 36, pp. 6740–6753, 2009

2. 多媒體網路安全實驗室 OUTLINE INTRODUCTION 1 THE STRUCTURE OF TAINAN TRAVEL ONTOLOGY 2 CONTEXT DECISION AGENT FOR TAINAN TRAVEL 33 TRAVEL ROUTE RECOMMENDATION AGENT FOR TAINAN CITY TRAVEL 44 35 1 CONCLUSION

3. 多媒體網路安全實驗室 1. INTRODUCTION 2  In recent years, due to the growing number of travelers, a wide range of information such as the tourist attractions and local gourmet food are posted on the Internet to appeal to the tourists.  It is not easy for a tourist to search the information what exactly he really wants from a large amount of information available on the Internet.  Ontology is a conceptualization of a domain into a human understandable, machine-readable format consisting of entities, attributes, relationships, and axioms

4. 多媒體網路安全實驗室 3 2. THE STRUCTURE OF TAINAN TRAVEL ONTOLOGY 2.1. Ontology Structure  The domain ontology architecture can be divided into four layers. 1. Domain Layer This layer defines name of the ontology. 2. Category Layer This layer defines several categories such as category 1, category 2. 3. Concept Layer This layer defines concept name, attribute set and operation set. 4. Instance Layer This layer defines the instances of concept.

5. 多媒體網路安全實驗室 4 2. THE STRUCTURE OF TAINAN TRAVEL ONTOLOGY

6. 多媒體網路安全實驗室 2.2. Tainan City travel ontology  The domain name of this ontology is "Tainan City Travel".  The categories in the category layer include "Administrative District", "Historic Site Class", "Gourmet Food Type", and "Rating Popularity Grade". 2. THE STRUCTURE OF TAINAN TRAVEL ONTOLOGY

7. 多媒體網路安全實驗室 6 2. THE STRUCTURE OF TAINAN TRAVEL ONTOLOGY

8. 多媒體網路安全實驗室 7 2. THE STRUCTURE OF TAINAN TRAVEL ONTOLOGY

9. 多媒體網路安全實驗室 8 2. THE STRUCTURE OF TAINAN TRAVEL ONTOLOGY

10. 多媒體網路安全實驗室 9 3. CONTEXT DECISION AGENT FOR TAINAN TRAVEL

11. 多媒體網路安全實驗室  The context decision agent contains following mechanisms 1. Location transfer mechanism. 2. Finding matched concepts mechanism. 3. Ant colony optimization for semantic relation mechanism. 4. Context relation computation mechanism. 10 3. CONTEXT DECISION AGENT FOR TAINAN TRAVEL

12. 多媒體網路安全實驗室 11 3.1. Location transfer mechanism  The main functions of this mechanism are to acquire the location value of each concept. 3. CONTEXT DECISION AGENT FOR TAINAN TRAVEL

13. 多媒體網路安全實驗室 12 3. CONTEXT DECISION AGENT FOR TAINAN TRAVEL 3.2. Finding matched concepts mechanism  The finding matched concepts mechanism is responsible for finding the concepts matched with the tourist’s requirements.

14. 多媒體網路安全實驗室 13 3. CONTEXT DECISION AGENT FOR TAINAN TRAVEL 3.3. Ant colony optimization for semantic relation mechanism  The main function of the ant colony optimization for semantic relation mechanism is to find the semantic relation based on the found path of concepts between the ontology and tourist’s requirements.

15. 多媒體網路安全實驗室 14 3. CONTEXT DECISION AGENT FOR TAINAN TRAVEL 3.4. Context relation computation mechanism  The context relation computation mechanism is to compute the context relation between the tourist‘s requirements and the instances stored in the ontology.

16. 多媒體網路安全實驗室 4. TRAVEL ROUTE RECOMMENDATION AGENT FOR TAINAN CITY TRAVEL 15

17. 多媒體網路安全實驗室 16 4. TRAVEL ROUTE RECOMMENDATION AGENT FOR TAINAN CITY TRAVEL

18. 多媒體網路安全實驗室 17 4. TRAVEL ROUTE RECOMMENDATION AGENT FOR TAINAN CITY TRAVEL

19. 多媒體網路安全實驗室 CONCLUSION  The proposed agent can recommend the tourist a personali- zed travel route to enjoy Tainan City according to the tour- ist’s requirements.  It is also responsible for finding a suitable tour and plotting this travel route on the Google map.  The tourist can follow the suggested personalized travel ro- ute to enjoy the cultural heritage and the local gourmet food during his stay at Tainan City. 18

20. 多媒體網路安全實驗室