博碩士論文 90522068 詳細資訊




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姓名 林永峰(Yong-Feng Lin)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 語意網路上代理人溝通機制研究
(A Study on Agent Communication over the Semantic Web)
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摘要(中) 語意網路是目前熱門的研究領域。它以現有的網路為基礎,為其內容增添語意,組成網路知識本體。因此,網路上的應用程式可以藉由知識本體達到跨平台運算的目的。另一方面,代理人是一門提昇軟體抽象化的理論。它使軟體由物件典範移轉到智慧運算層次,將軟體模塑成一個具有心智的個體。我們的研究便是將代理人技術應用在語意網路上,藉由代理人讓語意網路應用程式具有智慧化的運算。另一方面,代理人也可以藉由語意網路上的知識本體,實現代理人平台之間的資訊整合。
我們提出代理人在語意網路上的溝通架構,代理人藉由知識本體來運算,因此,我們為溝通架構定義了一套代理人溝通知識本體,藉由這一套知識本體我們可以將代理人的溝通移植至語意網路。我們定義了相對應於每一個代理人溝通階層架構的知識本體以描述階層內的子元件以及階層之間的元件。不同的是,我們也提出一個新的代理人溝通階層,我們在訊息傳遞層與內容語言層之間插入一個代理人心智層,(1) 這樣可以讓訊息傳遞元件可以傳送代理人的心智以朝向到代理人平台之間開放的心智傳遞前進。(2)將心智表示法與內容語言表示法分開,讓心智態度可以不被某些語言所限制,以利分享。
我們的架構嘗試著與語意網路上的程式互動,如:語意網路服務與語意網路應用程式。這些過程與成果都在本文中所描述。
摘要(英) The Semantics Web is one of the popular research areas these days. It is based on the current Web, and adds more semantics to it, on purpose of building the Ontology of Web content. So, application program on Web can make the purpose of cross-platform calculation come true by taking advantage of Ontology. On the other side of coin, agent is a theory able to enhance abstraction of software itself. This theory makes software shift from object paradigm to intelligence agent paradigm, and thus constructs the software into an object with mental model. The purpose of our study is to apply agent technique to Semantics Web, and our method is to make application program of Semantic Web be able to make intelligent computing by utilizing agents. Moreover, agents can realize the information integration among platforms of agents by making capital of Ontology on Semantics Web.
This study brings up the communication architecture on the Semantic Web; precisely speaking, agents make computing with Ontology, and we define an agent’s communication ontology for this communication framework. We can transplant agent’s communication to Semantics Web by using this Ontology. Our researches define corresponding ontologies for all agent communication layers for the sake of describing ways of construction of subcomponents inside layers and of components among layers. On the contrary, we want to propose a new agent mental layer. We insert it between the message transport layer and the content language layer in the cause of: (1) Making any message transport component be capable of transmitting mental attitudes of agents, which leads to the openness of mental attitude conveyance amid platforms, (2) Separating the content representation from the mental representation, which can cause mental attitudes not to be limited by certain languages and thus facilitate sharing.
Our architecture attempts to interact with a popular the application of Semantic Web such as Semantic Web Service and Semantic Web Application. The experience and effort are also described in this paper.
關鍵字(中) ★ 語意網路
★ 知識本體
★ 代理人
★ 代理人溝通
★ 語意網路服務
★ 語意網路應用程式
關鍵字(英) ★ Semantic Web
★ Ontology
★ Agent
★ Semantic Web Service
★ Agent Communication
★ Semantic Web Application
論文目次 Abstract....................................................................................................................................ii
Table of Contents....................................................................................................................vii
List of Figures.........................................................................................................................ix
List of Tables...........................................................................................................................xi
1. Introduction to Agent Communication and the Semantic Web...................................1
1.1. Agent......................................................................................................................1
1.2. Agent Communication............................................................................................5
1.2.1. Message Transport Layer...........................................................................6
1.2.2. Content Language Layer............................................................................8
1.2.3. Performative Layer...................................................................................11
1.2.4. Interaction Protocol Layer........................................................................13
1.3. Web and Semantic Web........................................................................................14
1.4. Related Work........................................................................................................17
2. A New Agent Mental Layer...........................................................................................19
2.1. Agent Communication and its Ontologies...........................................................20
2.2. Architecture..........................................................................................................22
2.3. Selecting Agent Communication Description......................................................27
2.4. Agent Communication Enhanced 3APL Deliberation Cycle...............................29
3. Agent Communication Ontology...................................................................................30
3.1. Content Language Ontology..............................................................................31
3.1.1. Object.......................................................................................................32
3.1.2. Action.......................................................................................................33
3.1.3. Proposition................................................................................................33
3.1.4. Content.....................................................................................................35
3.2. Proposition Ontology....................................................................................36
3.2.1. Extended Proposition................................................................................38
3.2.2. Embedded Proposition..............................................................................38
3.2.3. Agent........................................................................................................40
3.3. Communicative Act Ontology............................................................................42
3.3.1. Communicative Act (CA).........................................................................44
3.3.2. Feasibility Precondition (FP)....................................................................45
3.3.3. Rational Effect (RE).................................................................................46
3.4. Interaction Protocol Ontology...........................................................................47
3.4.1. Initiator & Participant(s)...........................................................................47
3.4.2. State..........................................................................................................48
3.4.3. Transition..................................................................................................48
3.4.4. Protocol.....................................................................................................49
4. Mental Model and Belief................................................................................................50
4.1. Formal Model.......................................................................................................50
4.2. KD45 Algorithm...................................................................................................54
5. An Example of Integrated Movie Service....................................................................57
5.1. Relation between SWS and Web Service.............................................................59
5.2. SWS implementations..........................................................................................62
5.2.1. Information Retrieval Service..................................................................62
5.2.2. Video Broadcast Service...........................................................................63
5.2.3. Video Abstract Service.............................................................................64
5.2.4. Recommendation Service.........................................................................65
5.3. Extended Agent Communication Architecture for OWL-S..................................66
5.4. Interaction with SWS...........................................................................................68
6. An Example of Extreme Programming Environment.................................................72
6.1. Using Agent to Support Unit Testing of XP.........................................................74
6.1.1. Architecture..............................................................................................74
6.1.2. Implementation Using Agent Communication Architecture....................78
6.2. Interaction with Web applications........................................................................79
6.2.1. Facilitate XP practices..............................................................................80
6.2.2. Service search and agent recovery............................................................82
7. Conclusions....................................................................................................................82
References...............................................................................................................................84
Appendix A..............................................................................................................................93
VITA.......................................................................................................................................94
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指導教授 陳振炎(Jason Jen-Yen Chen) 審核日期 2007-10-7
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