臺灣博碩士論文加值系統

Ontology一詞出自於哲學，原是用於對於存在的事物及這些事物的本性原理所作的整體性、統一性、基礎性的探究。而Ontology在知識工程領域中，是對於一個主題領域，建構其共通一致性的詞彙(基本術語)、屬性、關係、及其延伸的規則，作為知識的表徵與應用。
在以往的題庫系統中，對於試題的管理是基於試題的metadata的資訊，包括難度、鑑別度、門科分類、概念、認知層次類型（知識、理解、應用、綜合、分析、評量）…等等。而這樣的設計，試題之間是彼此獨立的，在試卷或題組所隱含的概念、知識，難以有系統組織化的呈現。也使得自動選題策略無法套上知識層面的思維。
在本研究中，將導入Ontology的理念來設計題庫系統，將試題所包含的知識(包含概念與關係)，以知識圖的形式表示，並以Ontology語言描述。透過了Ontology Model把試題之間的知識組織關係加以連繫、表徵，即可提供更高層次的試題管理，更進一步衍生出更具知識組織化的選題策略，如引導式題組、主題環繞式題組…等等。

The word "Ontology" stems from the philosophy, and it is originally used for research of integrity, unity, and foundational inquiry regarding the existence thing and natural disposition principles themselves. However, in the knowledge engineering domain, Ontology is used for regarding a subject domain; we construct the common uniform glossary (basic terminology), attributes, relations, and extensive rules for knowledge representation and application.
In previous studies on item bank, the item management is based on item metadata, which includes difficulty, discrimination, classification, concept, cognition level (knowledge, comprehension, application, analysis, synthesis, and evaluation), etc. Such design assumes that items in examination paper or item group are independent, thus the implying concepts and knowledge are hard to be represented systematically. It also causes automatic item selection strategy unable to be associated with knowledge.
In this research, we will adopt the idea of Ontology in designing item bank. The implying knowledge (including concept and relations) of item is represented by knowledge map and described by an Ontology language. Through Ontology Model, we can connect and represent the structural relationship of knowledge between items. Besides, it can provide a higher level for item management and develop the item selection question strategy based on the ontology structure of knowledge, such as item group of guidance, item group of topic surround and so on.

【目錄】
第一章 緒論 1
1.1 研究背景與動機 1
1.1.1 數位學習 1
1.1.2 測驗評量與題庫系統 2
1.1.3 本體論（Ontology） 3
1.2 研究目的 4
1.3 論文架構 4
1.4 成果及貢獻 4
第二章 背景知識 6
2.1 題庫系統 6
2.2 概念圖與知識圖 8
2.3 本體論 9
2.3.1 本體論的定義 9
2.3.2 本體論的應用 10
2.3.3 本體論的語言 11
第三章 系統架構 14
3.1 概觀 14
3.2 資料模型(Data Model) 15
3.3 系統模組 17
3.3.1 試題知識獲取模組(Item Knowledge Acquisition Module) 17
3.3.2 解析整合模組(Parsing and Integrating Module) 18
3.3.3 知識獲取模組(Knowledge Acquisition Module) 18
3.3.4 選題策略模組(Item Selection Strategy module) 18
3.3.5 試題產生模組(Item Generation Module) 19
第四章 系統實作 20
4.1 實作相關技術介紹 20
4.1.1 Web Services 20
4.1.2 Jena Semantic Web Framework 21
4.2 資料模型定義 22
4.3 試題知識獲取模組 22
4.4 解析整合模組 25
4.5 知識獲取模組 27
4.6 選題策略模組 27
4.6.1 引導式策略 28
4.6.2 主題環繞式策略 33
4.7 試題產生模組 36
第五章 應用情境 40
5.1 建構試題與知識圖 40
5.2 引導式選題策略 42
5.3 主題環繞式策略 44
5.4 產生試題 46
第六章 結論與後續研究方向 48
參考資料 49
附錄 52

[1]ADL SCORM 1.2, SCORM Version 1.2 Sample Run-Time Environment (RTE) Version 1.2.2, ADL Technical Team, June 03, 2004.
[2]IMS Global Learning Consortium. from : http://www.imsglobal.org/.
[3]Aviation Industry CBT Committee. from http://www.aicc.org/.
[4]OKI, The OKI Architectural Concepts Draft, OKI Architectural Concepts, December 5, 2003.
[5]余民寧:試題反應理論的介紹。取自 http://www.irt.org.tw/index.php?mod=irt。
[6]Tim, B.L (2000). Semantic Web –XML2000. Information on-line.
from http://www.w3.org/2000/Talks/1206-xml2k-tbl/.
[7]Banderson, C. V., Inouye, D. I. & Olsen, J. B. (1989). The four generations of computerized educational measurement. In R. L. Linn (Ed.). Educational measurement (3rd ed., pp. 367-407). New York: American Council on Education.
[8]H.W. Hsaio, S. S. Tseng, & G. J. Hwang (1993). An evaluation model for the development of intelligent CAI system. Proc. Int. Conf. Computers Educ., Taiwan, China, 1993, pp. 337–339.
[9]林義益(民91):遠距測驗中階層式迷思概念診斷方法之研究。私立中原大學資訊工程研究所碩士論文。
[10]G. J. Hwang (2003). A Test-Sheet-Generating Algorithm for Multiple Assessment Requirements. IEEE Trans. Educ., vol. 46,no. 3,pp.329-337 Aug. 2003.
[11]曾賢豪(民92):基因演算法應用於電腦輔助測驗系統試題配置。國立暨南大學資訊管理研究所碩士論文。
[12]IMS Global Learning Consortium: IMS Question & Test Interoperability Specification. from http://www.imsglobal.org/question/.
[13]余民寧(民87):教育測驗與評量－成就測驗與教學評量。台北，心理出版社。
[14]G. J. Hwang (2003). A Concept Map Model for Developing Intelligent Tutoring Systems. Computers & Education, Vol. 40. No. 3, pp. 217-235.
[15]Turns, J., Atman, C.J. & Adams, R., (2000). Concept maps for engineering education: a cognitively motivated tool supporting varied assessment functions. Education, IEEE Transactions on, Volume: 43 Issue: 2, May 2000, pp.164 –173.
[16]Holley, C.D., Dansareau, D.F., McDonald, B.A., Garland, J.C. & Collins, K.W., (1979). Evaluation of a hierarchical technique as an aid to text processing. Contemporary Educational Psychology, 4, 227-237.
[17]阮明淑、溫達茂(民91):Ontology 應用於知識組織之初探。佛教圖書館館訊，第32期，pp.6-17。
[18]Neches, R. Fikes, R. Finin, T.Gruber, T., Patil, R.,Senator, T. & Swartout, W. R., (1991). Enabling technology for knowledge sharing. AI Magazine 12(3), pp.36-56.
[19]Gruber, T., (1993). Ontolingua: A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), pp. 199-200.
[20]Gruber,T.. What is an Ontology?.
from http://www-ksl.Stanford.edu/kst/what-is-an-ontology.html.
[21]Hendler, J. (2001). Agents and the semantic web. IEEE Intelligent Systems,. Vol.16, PP. 30-37. 21.
[22]OWL Web Ontology Language Guide.
from http://www.w3.org/TR/2004/REC-owl-guide-20040210/.
[23]The gene ontology consortium, (2000). Gene ontology : tool for the unification of biology. Nature genetics 5, pp. 25-29.
[24]The Gene Ontology. from http://www.geneontology.org/.
[25]Regina M. M. Braga, Marta Mattoso & Cláudia M. L. Werner, (2001). The use of mediation and ontology technologies for software component information retrieval. ACM SIGSOFT Software Engineering Notes, Proceedings of the 2001 symposium on Software reusability: putting software reuse in context, Volume 26 Issue 3.
[26]楊凱傑(民92):以本體論為基礎的可重用軟體元件搜尋方法之研究。國立成奶j學資訊管理研究所碩士論文。
[27]吳家威、劉昭麟(民91):應用本體論設計與建置摘要系統。 2002民生電子研討會論文集(WCE'02)， pp.41-46。
[28]鄭寶庭(民 93):做用語意認知機制建置資源調配管理系統之研究。私立中原大學資訊管理研究所碩士論文。
[29]林傳穎(民93):以Semantic Web 技術為基礎之教材資源管理系統。國立中正大學資訊工程研究所碩士論文。
[30]RDF Primer. from http://www.w3.org/TR/rdf-primer/.
[31]RDF Vocabulary Description Language 1.0: RDF Schema,
from http://www.w3.org/TR/rdf-schema/.
[32]DAML+OIL (March 2001) Reference Description.
from http://www.w3.org/TR/daml+oil-reference.
[33]中醫藥健康資訊入口網站。取自 http://nricm2.nricm.edu.tw/。
[34]RDQL - A Query Language for RDF.
from http://www.w3.org/Submission/2004/SUBM-RDQL-20040109/.
[35]Jena 2 - A Semantic Web Framework.
from http://www.hpl.hp.com/semweb/jena.htm