設計語意本體論和脈絡獲取機制運用於無所不在的內容存取在網際網路的學習環境中

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姓名

杜國銘(Kuo-Ming Tu) 查詢紙本館藏

畢業系所

網路學習科技研究所

論文名稱

設計語意本體論和脈絡獲取機制運用於無所不在的內容存取在網際網路的學習環境中
(Designing Context Ontology and Context Acquisition for Ubiquitous Content Access in Web-Based Learning Environments)

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摘要(中)

在網際網路學習環境中，無所不在的存取技術提供了情境感知的功能，來幫助學習者和學習內容之間的互動與獲取到相關的學習資源。我們希望的無所不在學習，是可以提供情境感知的學習內容，以及找到合適的學習夥伴，適合的學習內容，適合的學習服務系統在對的地點以及對的時間。
在此篇論文中，最主要的貢獻所在是我們建構了語意的描述以及語意內容資訊的獲得與擷取。我們利用了本體論(Ontology)來描述學習者和學習內容之間有關語意的資訊。接著根據我們所設計出來的語意本體論(Context Ontology)以及學習者周圍環境所處的語意資訊，來建置語意獲取機制以提供了一種更智慧的方法來讓學習者獲取所需要且適合的學習內容。

摘要(英)

Ubiquitous access enables context aware interactivity between learners and content in Web-based learning environments. We envision that the first step toward ubiquitous learning is to provide context aware learning content by finding right collaborative learners, right learning content and right learning services in the right place at the right time. The major contributions of this paper are the development of our context representation and context acquisition. We utilize ontology to formally describe contextual information pertaining to learners and learning content. Based on this ontology, we construct context acquisition mechanism for intelligent learning content discovery and access based on learners’ surrounding context.

關鍵字(中)

★ 內容脈絡
★ 網際網路學習
★ 語意本體論

關鍵字(英)

★ Context
★ Ontology
★ Web-based learning
★ Ubiquitous

論文目次

摘要.......................................................................I
Abstract..................................................................II
Content..................................................................III
Figures....................................................................V
Tables....................................................................VI
Chapter 1. Introduction....................................................1
Chapter 2. Related work....................................................5
Chapter 3. Context ontology ...............................................11
3.1 Learner ontology.....................................................12
3.2 Content ontology.....................................................14
Chapter 4. Context acquisition............................................18
4.1 Context detection....................................................19
4.2 Location tracking....................................................20
4.3 Context derivation...................................................22
Chapter 5. System design and illustrations................................26
5.1 Learner context acquisition architecture.............................29
5.2 Design of a content ontology in reading and reviewing system.........34
Chapter 6. Concluding remarks.............................................41
Reference .................................................................42

參考文獻

[1]. Dey, A. (2002). The context toolkit. Available at http://www.cs.berkeley.edu/~dey/context.html
[2]. Schilit, B., Adams, N., & Want R. (1994). Context-aware computing applications. Proc. of the Workshop on Mobile Computing Systems and Applications, pp. 85-90.
[3]. Hewlet Packard. (2002) Cooltown Project. http://www.cooltown.com/cooltown/index.asp
[4]. Khedr, M. & Karmouch, A. (2004) Negotiating context information in context-aware systems. IEEE Intelligent Systems, 19(6), pp. 21-29.
[5]. Khedr, M. (2005). A semantic-based context-Aware approach for service-oriented Infrastructures. Proc. of 2nd IFIP International Conference on Wireless and Optical Communications Networks (WOCN 2005), pp. 584-588.
[6]. Roman, M. & et al. (2002). A middleware infrastructure to enable active spaces. IEEE Pervasive Computing, 1(4), pp.74-83.
[7]. Yang, S.J.H. (2006). Context aware ubiquitous learning environments for peer-to-peer collaborative learning. Journal of Educational Technology and Society, 9(1), pp. 188-201.
[8]. Yang, S.J.H., Chen, I., & Shao, N. (2004). Ontological enabled annotations and knowledge management for collaborative learning in virtual learning community. Journal of Educational Technology and Society, 7(4), pp. 70-81.
[9]. Yang, S.J.H., Lan, B.C.W., Wu, B.J.D., & Chang, A.C.N. (2005). Context aware service oriented architecture for web based learning. Journal of Advanced Technology for Learning, 2(4), pp. 216-222.
[10]. Kouadri, S. et al., (2004). Context aware service provisioning,” Proc. of the IEEE International Conference on Pervasive Services (ICPS), pp.71-80.
[11]. Mostefaoui, S. K, Bouzid, A. T., & Hirsbrunner, B. (2003). Using context information for service discovery and composition,” Proc. of 5th International Conference on Information Integration and Web-based Applications and Services (IIWAS 2003), pp. 129-138.
[12]. Broens T., et al, (2004). Context-aware ontology-based service discovery. Proc. of 2nd European Symposium on Ambient Intelligence (EUSAI 2004), pp. 72-83.
[13]. Lemlouma T., et al, (2001). The negotiation of multimedia content services in heterogeneous environments. Proc. of 8th International Conference on Multimedia Ontologying, pp. 187-206.
[14]. Traub, K., et al. (2005) The EPCglobal architecture framework.
[15]. Brewster C., O'Hara K., Fuller S., Wilks Y., Franconi E., Musen M.A., Ellman J., Shum S. B., (2004), Knowledge representation with ontologies: the present and future. IEEE Intelligent Systems, 19(1), 72-81.
[16]. Burstein, M.H. (2004). Dynamic invocation of semantic web services that use unfamiliar ontologies. IEEE Intelligent Systems, 19(4), pp. 67–73.
[17]. MAENAD project, (2005) http://metadata.net/index.html
[18]. Gomez-Perez, A. , Gonzalez-Cabero, R., & Lama, M. (2004). ODE SWS: a framework for designing and composing semantic Web services. IEEE Intelligent Systems, 19(4), pp. 24–31.
[19]. Huang, W., O'Dea, M., & Mille, A. (2003). ConKMeL: a contextual knowledge management framework to support intelligent multimedia e-learning. Paper presented at the IEEE International Symposium on Multimedia Software Engineering, Taiwan, pp. 223 – 230.
[20]. Lee, T.B., Hendler, J. & Lassila, O. (2001). The semantic web. Scientific American, 284(5), pp. 34-43.
[21]. A . Dey, “Understanding and Using Context,” Personal and Ubiquitous Computing, vol. 5, no. 1, 2001, pp. 4–7.
[22]. M. Khedr et al., “Agent-Based Context Aware Ad Hoc Communication,” Proc. 4th Int’l Workshop Mobile Agents for Telecommunication Applications (MATA 02), LNCS 2521, Springer-Verlag, 2002, pp. 105–118.
[23]. Mohamed Khedr and Ahmed Karmouch, University of Ottawa, “Negotiating Context Information in Context-Aware Systems” the IEEE Computer Society, 2004
[24]. Renato de Freitas Bulc˜ao Neto, Maria da Grac¸a Campos Pimentel. (2005). Toward a Domain-Independent Semantic Model for Context-Aware Computing
[25]. Erhard Rahm & Philip A. Bernstein. (2001). A survey of approaches to automatic schema matching The VLDB Journal 10: 334–350

指導教授

楊鎮華(Stephen J.H. Yang)

審核日期

2006-7-14

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