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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 曹承礎 | |
dc.contributor.author | Hsuan-Fu Huang | en |
dc.contributor.author | 黃炫輔 | zh_TW |
dc.date.accessioned | 2021-06-13T03:27:37Z | - |
dc.date.available | 2006-07-31 | |
dc.date.copyright | 2006-07-31 | |
dc.date.issued | 2006 | |
dc.date.submitted | 2006-07-27 | |
dc.identifier.citation | [1] ”Awareness: A survey of research on awareness of context and situation”, http://media.csee.ltu.se/~sarsve/research/Survey_Context_Awareness.pdf
[2] Agent-based Intelligent Reactive Environments, http://aire.csail.mit.edu/projects.shtml [3] Baldauf, M., Dustdar, S., “A Survey on Context-aware systems”, Technical. University of Vienna (2004). [4] Bechhofer, S., Harmelen, F. van, Hendler, J., Horrocks, I., McGuinness, D. L., Patel-Schneider, P. F., and Stein, L. A.. OWL Web Ontology Language Reference, w3c recommendation 10 february 2004 edition, February 2004. [5] Berners-Lee, T., Hendler, J., and Lassila, O.. “The Semantic Web”, Scientific American may 2001. [6] Centers for Disease Control and Prevention, http://www.cdc.gov/dhdsp/redirect.htm [7] Chen, H., Finin, T., 'An Ontology for a Context Aware Pervasive Computing Environment', IJCAI workshop on ontologies and distributed systems,Acapulco MX, August 2003. [8] Chen, H., Perich, F., Finin, T., and Joshi, A., SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications. In International Conference on Mobile and Ubiquitous Systems: Networking and Services, Boston, MA, August 2004. [9] Dey, A. K., Abowd,G. D., “Towards a better understanding of context and context-awareness”. In Proceedings of the Workshop on the What, Who, Where, When and How of Context-Awareness, affiliated with the CHI 2000 Conference on Human Factors in Computer Systems, 2000. [10] Dey, A.K., et al. “A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications”, Human-Computer Interaction Journal, Vol. 16(2-4), pp. 97-166, 2001. [11] Golbreich, C., Imai, A. Combining SWRL rules and OWL ontologies with Protégé OWL Plugin, Jess, and Racer. 7th International Protégé Conference, Bethesda, MD (2004) [12] Haigh, Karen Zita, Phelps, John, Geib, Christopher W.,, “An Open Agent Architecture for Assisting Elder Independence”, Honeywell Technology Center, 3660 Technology Drive,Minneapolis, MN 55418, In the 2002 International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), ACM 2002 [13] Harold Boley, Mike Dean, Benjamin Grosof, Michael Sintek, Bruce Spencer, Said Tabet, and Gerd Wagner. FOL RuleML: The First-Order Logic Web Language. Technical report, http://www.ruleml.org/fol/, 2004. [14] Harold Boley, Said Tabet, and GerdWagner. Design Rationale of RuleML: A Markup Language for Semantic Web Rules. In Proceedings of the First Semantic Web Working Symposium (SWWS), pages 381–402, 2001. [15] Hauck, K., Smith, P., and Goddard, M. (2003) The Economics of Priority Setting for Health Care–-A Literature Review. HNP Discussion Paper. [16] Henricksen, Karen, et al. “Modeling Context Information in Pervasive Computing Systems”, Pervasive 2002. [17] Hypertension FAQ, http://www.kmuh.org.tw/www/fm/public/%E9%AB%98%E8%A1%80%E5%A3%93faq.htm [18] Ian Horrocks, Peter F. Patel-Schneider, Harold Boley, Said Tabet, Benjamin Grosof, and Mike Dean. SWRL: A Semantic Web Rule Language Combining OWL and RuleML. Technical report, www.daml.org, 2004. [19] Jane Yung-jen Hsu, “A multi-agent framework for intranet service integration”. In: T. Ishida (Ed.) Lecture Notes in Articifical Intelligence, No. 1599, Multiagent Platforms, pp. 148-161, 1999. [20] Java Agent DEvelopment Framework, http://jade.tilab.com/ [21] Kindberg, T., Barton, J., “A Web-based Nomadic Computing System”, Computer Networks, 35(4):443- 456, 2001. [22] KRUTHI BHOOPALAM, FIRE – A DESCRIPTION LOGIC BASED RULE ENGINE FOR OWL ONTOLOGIESWITH SWRL-LIKE RULES, CONCORDIA UNIVERSITY MONTR´E AL, QU´E BEC, CANADA [23] MEYER, S., “A survey of research on context-aware homes”, in: Proceedings of the Australasian information. security workshop conference on ACSW frontiers, Vol. 21, (2003). [24] OWL Web Ontology Language Guide, W3C Recommendation 10 February 2004 http://www.w3.org/TR/owl-guide/ [25] Peter F. Patel-Schneider, Bell Labs Research, and Lucent Technologies. A Proposalfor a SWRL Extension to First-Order Logic. Technical report, www.daml.org, 2004. [26] Protégé-OWL Editor, http://protege.stanford.edu/plugins/owl/ [27] Ranganathan, A., McGrath, R., Campbell, R., & Mickunas, D., “Ontologies in a Pervasive Computing Environment”, Workshop on Ontologies in Distributed Systems at Innovative Applications of Artificial Intelligence, Acupulco, 2003 [28] Ranganathan, Anand, et al. “A Middleware for Context-Aware Agents in Ubiquitous Computing Environments”, USENIX International Middleware Conference, 2002. [29] Ranganathan, Anand, Campbell, Roy H., “An infrastructure for context-awareness based on first order logic”, Personal and Ubiquitous Computing (2003) [30] Swoogle - Semantic Web Search Engine, http://swoogle.umbc.edu/ [31] Tao Gu, Xiao Hang Wang, Hung Keng Pung, Da Qing Zhang, “An Ontology-based Context Model in Intelligent Environments “, Department of Computer Science, National University of Singapore, Singapore Connected Home Lab, Institute for Infocomm Research, Singapore [32] Tragakes E, Vienonen M (1998) Key issues in rationing and priority setting for health care services. WHO Regional Office for Europe: Copenhagen [33] Treatments for Diabetes, http://www.wrongdiagnosis.com/d/diabetes/treatments.htm [34] Van Harmelen, F., et al. “Owl Web Ontology Language Reference”, http://www.w3.org/TR/owl-ref/, 2002. [35] Volker Haarslev, Ralf Moller. RACER System Description. volume 2083 of Lecture Notes in Artificial Intelligence, pages 701–705. Springer-Verlag, 2001. [36] Volker Haarslev, Ralf Moller. RACER User’s Guide and Reference Manual, 2004. [37] Volker Haarslev, Ralf Moller. The New Racer Query Language - nRQL, 2004. [38] Walid E. Gomaa1, Amani A. Saad2, and Mohamed A. Ismail2, “Learning Joint Coordinated Plans in Multi-agent Systems”, IEA/AIE 2003, LNAI 2718, pp. 154–165, 2003. [39] Xiao Hang Wang, Da Qing Zhang ,Tao Gu, Hung Keng Pung, “Ontology Based Context Modeling and Reasoning using OWL”, Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops (PERCOMW’04) 2004 IEEE [40] 台北榮總新陳代謝科糖尿病概論, http://www.vghtpe.gov.tw/~meta/dm.htm#DM_symp | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/32003 | - |
dc.description.abstract | 傳統的應用程式在建構時主要以是服務提供者的觀點來設計,但這往往忽略了服務使用者真正的需求。就服務使用者的立場而言,使用者真正需要的服務可能是來自於不同的服務提供者,並且這些異質性的服務通常是無法溝通合作的。此時使用者便需要一個平台來整合異質性的服務。針對這個問題,我們提出了一個以本體論為基礎的可隨插式服務平台,希望能夠在居家照護的環境下依據服務使用者的需求整合異質性的服務,並且以健康忠告者(Health Advisor)為例子。
在本研究中我們運用本體描述語言(OWL)以及語意網法則語言(SWRL)來定義可隨插式本體論服務。本體描述語言是W3C所定義的語意網標準語言,而語意網法則語言是延伸至本體描述語言的一種法則語言。根據本體論內服務的描述,代理人(agent)可以推衍出高階的資訊、偵測環境的變化、進行個人化的推薦、以及與系統中其他的代理人溝通合作。透過可隨插式本體論驅動的技術,我們可以建構出更具有彈性、可調適性、且能夠自我管理的居家照護應用系統。 | zh_TW |
dc.description.abstract | Traditional applications are designed based on service providers’ viewpoint, not users’. And it is a difficult task to customize applications for each user. On the other hand, service demanders need a platform to integrate individual services supplied by different providers. The cooperation between these heterogeneous services is a key issue we need to consider. To address this problem, we propose an ontology based pluggable service platform to seamlessly integrate heterogeneous services which are exact what user wants in home care environments, and take Health Advisor as our example.
In this paper we use Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) to specify a pluggable ontology service. OWL is W3C standard language for Semantic Web, and SWRL is a rule language developed by the DARPA Agent Markup Language (DAML) Program, extending directly from OWL Semantics. By plugging different ontology service, the agents in our system can infer high-level context information, detect events, give recommendations and cooperate with other agents. Through the use of ontology-driven development and reuse techniques, we can achieve a more flexible, adaptable, cooperative, and self-managing home care applications. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T03:27:37Z (GMT). No. of bitstreams: 1 ntu-95-R93725019-1.pdf: 2383459 bytes, checksum: d766c6e37b298af2b67b1ab315ce53fa (MD5) Previous issue date: 2006 | en |
dc.description.tableofcontents | Chapter 1 Introduction 1
1.1 Background 1 1.2 Motivations & Objectives 2 1.3 Organization 5 Chapter 2 Literature Review 6 2.1 Multi-Agent Systems for Home Automation 6 2.1.1 Taxonomy of Multi-agent Systems 6 2.1.2 Independent LifeStyle Assistant (I.L.S.A.) 7 2.2 Context-Aware Models 10 2.2.1 Context-Awareness 10 2.2.2 Types of Context Models 10 2.2.3 Semantic Web 11 2.2.4 SWRL 14 2.3 Main Projects for Context-Aware 16 2.3.1 CONON: The Context Ontology 16 2.3.2 Gaia: A Middleware Platform for Active Spaces 20 2.4 Priority Setting for Health Care Services 25 2.4.1 Technical Approaches to Priority Setting 26 2.4.2 Example of Priority Setting: the Oregon initiative in U.S.A. 31 Chapter 3 System Design 33 3.0 Application Environment 33 3.1 Design Goals 36 3.2 System Architecture 38 3.3 Components Overview 39 3.4 Pluggable Ontology Service Model 41 Chapter 4 System Implementation 44 4.1 Home-Care Ontology Construction 44 4.1.1 General Ontology 45 4.1.2 Pluggable Domain Ontology 45 4.2 Pluggable Ontology Service Development 45 4.3 Representing SWRL Inference Rules as Racer Rules 48 4.4 Events Conflict Resolution 51 Chapter 5 Application Scenarios 53 5.1 Modeling Pluggable Ontology Services 54 5.1.1 Specific Domain Knowledge Retrieval 55 5.1.2 SWRL Rules Edition 57 5.1.3 Events Definition of Specific Domain 59 5.2 System Demostration 60 5.2.1 Components of Health Advisor UI 60 5.2.2 Personal Preferences Configuration 61 5.2.3 Plugging New Ontology Services 62 5.2.4 Resolving Inference Inconsistency 63 Chapter 6 Conclusions 65 6.1 Contributions 65 6.2 Future Work 66 Bibliography 67 | |
dc.language.iso | en | |
dc.title | 以本體論為基礎具推論能力之可隨插式服務平台-以家庭照護為例 | zh_TW |
dc.title | An Ontology-based Pluggable Service Platform with Context-Aware Reasoning Capabilities for Home Care Applications | en |
dc.type | Thesis | |
dc.date.schoolyear | 94-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 蔡益坤,林俊叡 | |
dc.subject.keyword | 可隨插式服務,本體論,本體描述語言,語意網法則語言,家庭照護, | zh_TW |
dc.subject.keyword | Pluggable Service,Ontology,OWL,SWRL,Home Care, | en |
dc.relation.page | 71 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2006-07-28 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
顯示於系所單位: | 資訊管理學系 |
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