(3.236.228.250) 您好!臺灣時間:2021/04/17 14:17
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:黃建綺
研究生(外文):Chien-Chi Huang
論文名稱:對話系統於智慧家庭之研究
論文名稱(外文):A Study on Spoken Dialogue System for Smart Home
指導教授:劉立頌
指導教授(外文):Li-Song Liu
口試委員:李允中林志敏
口試委員(外文):Yun-Zhong LiZhi-Min Lin
口試日期:2014-06-16
學位類別:碩士
校院名稱:國立中正大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:中文
論文頁數:75
中文關鍵詞:對話系統智慧家庭本體論
外文關鍵詞:Dialogue systemSmart homeOntology
相關次數:
  • 被引用被引用:0
  • 點閱點閱:259
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:9
  • 收藏至我的研究室書目清單書目收藏:0
在智慧家庭中,系統會根據當前的狀態提供使用者服務,然而有時候使用者的需求並非系統可以推論出來的,此時就需要透過使用者介面來提出需求。因此本論文欲提出一個對話系統,讓使用者可以透過此對話系統,操作家中的設備及詢問資訊。透過本體論的使用,本系統能夠考慮家中的環境及家電的配置,讓使用者提出的需求可以符合正確的操作,並隨著家裡的變化做出資訊的更新。當使用者透過自然語言所提出的需求之意圖不明確時,也可以透過推理或詢問的方式來釐清使用者的意圖。除此之外,本系統對於查詢的領域擁有擴充的能力,讓使用者除了查詢家中的資訊外,也能透過擴充機制來查詢其他領域的資訊。本論文也會針對抽象的服務需求,設計出一個服務規劃元件的介面定義,讓家中使用者可以不必事先決定好操作的過程,經由本系統服務規劃元件的分析後,決定出抽象服務的操作組合,滿足使用者的抽象需求。
A smart home system provides services to users according to the current situation, but sometimes there are some user requirements that cannot be reasoned by the system in advance. In such cases, users need an interface to deliver their requests to the smart home system. Therefore, this thesis proposes a dialogue system that allows users to operate devices in the house and asks for information. By using ontology, the system can take account of the home environment and configurations of appliances, so it can make sure that a user operation is valid and information is updated after the operation. When the intent of the user demand raised through natural language is not clear, the system can clarify the user's intention by way of reasoning or inquiry. In addition, the system has capabilities of expanding the field of query, allowing users not only to ask for the home information, but also be able to query information in other areas, such as weather inquiry. This thesis presents an implementation of an interface for service planner component, by allowing users to request the abstract service without determining the process of operations in advance. After planning, it will determine a set of operations to satisfy the user’s abstract requirements.
目錄
摘要 i
Abstract ii
目錄 iii
圖目錄 v
表目錄 vii
第一章 緒論 1
第二章 背景知識探討 3
2.1 口語對話系統 3
2.1.1 基本架構 4
2.1.2 對話管理策略 6
2.2 自然語言理解 7
2.3 智慧家庭環境模型 9
2.3.1 智慧家庭本體論介紹 9
2.3.2 DogOnt本體論 10
2.4 智慧家庭之對話系統 12
第三章 研究方法 16
3.1 研究動機 16
3.2 對話系統需求分析 18
3.2.1 服務需求分析 18
3.2.2 言語行為需求分析 21
3.3 語意擷取方法 23
3.3.1 言語行為判斷 25
3.3.2 斷詞與詞性標記 26
3.3.3 語意資訊擷取 26
3.4 查詢領域擴充機制 28
3.5 本體論架構 30
3.5.1 家庭本體論 31
3.5.2 成員本體論 35
第四章 系統架構與實作 37
4.1 系統架構 37
4.2 系統服務流程 40
4.2.1 對話管理 41
4.2.2 家電操作 43
4.2.3 資訊詢問 44
4.3 系統實作設計 46
4.3.1 系統類別圖 46
4.3.2 語意框架 52
4.4 實驗劇本與結果 54
4.4.1 劇本一 55
4.4.2 劇本二 57
4.4.3 劇本三 59
4.4.4 劇本四 61
4.4.5 劇本五 62
4.5 實驗結果探討 64
4.6 系統比較 66
第五章 結論與未來展望 69
參考文獻 71
附錄一 精簡詞類與簡化詞類比對表 75

[1]K. Jokinen and M. McTear, “Spoken Dialogue Systems,” in Synthesis Lectures on Human Language Technologies, vol. 2, no. 1, 2009, pp. 1-151.
[2]V. Zue et al., “JUPlTER: a telephone-based conversational interface for weather information,” IEEE Trans. Speech Audio Process, vol. 8, no. 1, 2000, pp. 85-96.
[3]A. Nguyen, and W. Wobcke, “An agent-based approach to dialogue management in personal assistants,” in Proc. the 10th international conference on Intelligent user interfaces, ACM, 2005.
[4]朱育德,”基於字詞內容之適應性對話系統”,碩士論文,國立中央大學資訊工程學系,2006。
[5]M. F. McTear, “Spoken dialogue technology: enabling the conversational user interface,” ACM Computing Surveys (CSUR), vol. 34, no. 1, Mar. 2002, pp.90-169.
[6]S. Seneff et al., “GALAXY-II: a reference architecture for conversational system development,” in Proc. ICSLP, Sydney, Australia, 1998, pp. 931-934.
[7]M. Turunen and J. Hakulinen, “Jaspis2-an architecture for supporting distributed spoken dialogues,” in Proc. INTERSPEECH, 2003.
[8]D. Bohus and A. I. Rudnicky, “The RavenClaw dialog management framework: Architecture and systems,” Computer Speech & Language, vol. 23, no. 3, pp. 332-361, 2009.
[9]J. F. Allen et al., “Toward conversational human-computer interaction,” AI magazine, vol. 22, no. 4, pp. 27-37, 2001.
[10]G. Ferguson et al., “TRAINS-95: Towards a Mixed-Initiative Planning Assistant,” in Proc. AIPS, 1996, pp. 70-77.
[11]B. Abdulrazak et al., “A standard ontology for smart spaces,” International Journal of Web and Grid Services, vol. 6, no. 3, pp. 244-268, 2010.
[12]M. Grassi et al., “Ontologies for Smart Homes and energy management: An implementation-driven survey,” in Proc. 2013 IEEE Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), 2013.
[13]H. Chen et al., “Soupa: Standard ontology for ubiquitous and pervasive applications,” in Proc. the International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004.
[14]D. Brickley and L. Miller, “FOAF Vocabulary Specification,” working draft, 2005, http:// xmlns.com/foaf/0.1.
[15]F. Pan and J. R. Hobbs, “Time in owl-s,” in Proc. AAAI-04 Spring Symposium on Semantic Web Services, 2004.
[16]D. B. Lenat and R. V. Guha, Building large knowledge-based systems, Addison Wesley, 1989.
[17]A. G. Cohn and J. Renz, “Qualitative spatial representation and reasoning,” in Handbook of Knowledge Representation, Elsevier, 2008, pp. 551-596.
[18]D. Bonino and F. Corno, “DogOnt - ontology modeling for intelligent domotic environments,” in Proc. The Semantic Web-ISWC 2008, Springer Berlin Heidelberg, 2008, pp. 790-803.
[19]X. H. Wang et al., “Ontology based context modeling and reasoning using OWL,” in Proc. the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004, pp. 18-22.
[20]D. Preuveneers and Y. Berbers, “Automated context-driven composition of pervasive services to alleviate non-functional concerns,” International Journal of Computing and Information Sciences, vol. 3, no. 2, pp. 19-28, 2005.
[21]M. J. Santofimia et al., “An agent-based approach towards automatic service composition in ambient intelligence,” Artificial Intelligence Review, vol. 29, no. 3-4, pp. 265-276, 2008.
[22]T. G. Stavropoulos et al., “BOnSAI: a smart building ontology for ambient intelligence,” in Proc. the 2nd International Conference on Web Intelligence, Mining and Semantics, ACM, 2012. pp. 30.
[23]F. Furfari et al., “DomoML: the definition of a standard markup for interoperability of human home interactions,” in Proc. the 2nd European Union symposium on Ambient intelligence, ACM, 2004, pp. 41-44.
[24]C. Holzner et al,. “Virtual smart home controlled by thoughts,” 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, 2009, pp. 236-239.
[25]A. S. M. Rahman et al., “Motion-path based gesture interaction with smart home services,” in Proc. the 17th ACM international conference on Multimedia, ACM, 2009, pp. 761-764.
[26]C. Kühnel et al., “I'm home: Defining and evaluating a gesture set for smart-home control,” International Journal of Human-Computer Studies, vol. 69, no.11, pp. 693-704, 2011.
[27]J. F. Quesada et al., “Dialogue Management in a Home Machine Environment-Linguistic Components over an Agent Architecture,” Spanish Society for Natural Language Processing (SEPLN), vol. 27, pp. 89-98, 2001.
[28]D. Milward and M. Beveridge, “Ontology-based dialogue systems,” in Proc. 3rd Workshop on Knowledge and reasoning in practical dialogue systems (IJCAI03), 2003, pp. 9-18.
[29]M. Chan et al., “Smart homes—current features and future perspectives. Maturitas,” Maturitas, vol. 64, pp. 90-97, 2009.
[30]M. Vacher et al., “The SWEET-HOME project: Audio processing and decision making in smart home to improve well-being and reliance,” in Proc. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, pp. 7298-7301.
[31]F. Portet et al., “Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects,” Personal and Ubiquitous Computing, vol. 17, no. 1, pp. 127-144, 2013.
[32]C. Manning and D. Klein, “Optimization, maxent models, and conditional estimation without magic,” in Proc. the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Tutorials-Volume 5. Association for Computational Linguistics, 2003, pp. 8-8.
[33]M. Nakano et al., “A multi-expert model for dialogue and behavior control of conversational robots and agents,” Knowledge-Based Systems, vol. 24, no. 2, pp. 248-256, 2011.
[34]N. F. Noy and D. L. McGuinness, “Ontology Development 101: A Guide to Creating Your First Ontology,” Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880, 2001.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔