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研究生:莊堡欽
研究生(外文):Pao-Chin Chuang
論文名稱:以知識本體為基礎之多維度資訊檢索--以軍事新聞為例
論文名稱(外文):A Study of Multi-dimensional Information Retrieval Based on Ontology-a Case of Military News
指導教授:余丁榮陳良駒陳良駒引用關係
指導教授(外文):Ting-Jung YuLiang-Chu Chen
口試委員:黃志泰劉定衢
口試委員(外文):Gui-Tai ChuangDing-Chyu Liu
口試日期:2014-05-14
學位類別:碩士
校院名稱:國防大學
系所名稱:資訊管理學系
學門:電算機學門
學類:電算機一般學類
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:95
中文關鍵詞:知識本體擴展查詢資訊過濾多維度資訊檢索
外文關鍵詞:OntologyQuery ExpansionInformation FilteringMulti-dimensional Information Retrieval
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隨著網路科技發展及各式行動裝置普及化,網際網路已逐漸成為獲取資訊不可或缺的來源,人們常利用電子新聞作為獲取新知及瞭解時事的工具之一。現行有關新聞檢索的研究常因檢索字詞語意或概念的擴充,雖有效提升新聞檢索的準確率或召回率,卻衍生出資訊處理量暴增而增加使用者資訊過濾的負荷;此外,新聞分類雖有助於新聞檢索的聚焦,卻也造成新聞的分類結果,未能盡符檢索者的期望。
 本研究提出一多維度的軍事新聞檢索架構,在知識表達方面,本研究以新聞的六要素(即何人、何事、何地、何時、何故及如何)為基礎,將軍事新聞同時以檢索者意圖(檢索者感興趣之人、物、事)、時間及地理空間等三個維度進行新聞檢索,除了使檢索架構更貼近新聞的本質外,同時也因加入時間與地理空間的檢索維度,加速收斂檢索者的查詢需求。在解決方法方面,以國防部、軍聞社及青年日報之軍事新聞為資料來源,經由時間及地理空間資料的實體識別,與檢索者查詢關鍵字詞整合,透過時間軸、google地圖等應用程式介面,以視覺化的方式呈現相關軍事新聞的標題、時間序列與地理空間的分佈等整合資訊及相關統計資料,不僅降低使用者可能衍生的資訊過濾負擔,也減少檢索者因新聞分類不符期望而降低對新聞檢索介面的滿意程度或再檢索的新聞搜尋時間。

With the development of Internet technology and the popularity of various types of mobile devices, Internet has become an indispensable source of information access. People often regard e-news as one of the best tool to obtain knowledge and understanding of current news. Due to the expansion of the semantic term or concept via query expansion, the related work on existing news retrieval can effectively improve the precision rate or the recall rate. However, query expansion always raises the amount of the search outcome and resulted in the workload of information filtering for user. On the other hand, news classification is helpful for readers to focus on certain topics, but the outcome of news classification might not meet readers’ expectation.
This study proposed a framework of multi-dimensional information retrieval for military news. In knowledge representation, based on the six elements of news, Who, What, Where, When, Why, and How(5W1H), this work not only introduced a framework of three dimensions information retrieval associated with user intent, temporal, and geographic location to closely meet the essence of news but increased temporal and geographical dimensions to speed up the convergence of user’s requirement. In problem solving, the source of military news is coming from the Ministry of National Defense, Military News Agency and Youth Daily. After the entity recognition of temporal and geographic data from the source of military news, the search keywords are used to retrieve the related news. The search outcome is represented by the APIs of visualization, timeline and google map, associated with the related news title and the statistical graphs about the occurrence time and places of news events to reduce the potential workload of information filtering for user and to lower the dissatisfaction of search result derived from misclassification of military news or the time of retrieval again.

第一章、緒論 1
1.1研究背景與動機 1
1.2研究目的 5
1.3研究範圍與限制 6
1.4論文架構 7
第二章、文獻探討 8
2.1知識本體 8
2.2擴展查詢 12
2.3新聞檢索 16
2.4時、空間之維度運用 21
第三章、系統架構與方法 24
3.1 研究方法 24
3.2 研究架構 26
3.2.1資料蒐集處理模組 27
3.2.1.1資料來源 27
3.2.1.2 網頁擷取 30
3.2.1.3去除文件格式 32
3.2.1.4軍事新聞資料庫 34
3.2.2時、空間及關鍵字詞擷取模組 34
3.2.2.1斷字斷詞 34
3.2.2.2關鍵字詞擷取 36
3.2.2.3時空特徵資料擷取 38
3.2.2.4同義字詞編修 39
3.2.3知識本體建立模組 40
3.2.3.1 Dbpedia 知識本體 41
3.2.3.2 轉化樹狀結構 42
3.2.3.3 知識本體庫 44
3.2.4三維檢索建立模組 45
3.2.4.1關鍵字詞比對 45
3.2.4.2關聯建立 46
3.2.4.3時、空間維度比對 46
3.2.4.4使用者介面 46
第四章、實驗評估與系統實作 55
4.1系統開發工具及實作環境 55
4.2系統功能與介面展示 56
4.2.1軍事新聞檢索 56
4.2.2交通工具檢索 58
4.2.3系統加值服務 62
4.3檢索效能質化評估 70
4.4檢索效能量化評估 72
第五章、結論與未來研究方向 75
5.1結論 75
5.2未來研究方向 76
參考文獻 77


一、中文部分
江舜絃,2009,以知識本體為基礎的中文查詢擴展,國立中央大學資訊管理研究所碩士論文。
吳典恩,2007,結合本體論以及關聯法則於查詢擴展之研究,國立成功大學資訊管理研究所碩士論文。
陳聖濤,2013,以模糊限制為基礎之使用者描述紀錄學習研究-以青年日報新聞檢索為例,國防大學管理學院資訊管理研究所碩士論文。
陳日鑫,2009,結合數量化關聯規則與階層式聚合演算法建構軍事新聞文件地圖,國防大學管理學院資訊管理研究所碩士論文。
陳首次,2012,以5W為基礎之軍事新聞檢索,國防大學管理學院資訊管理研究所碩士論文。
陳彥均,2007,發展使用者認知為基礎的知識本體應用於資訊檢索系統,中原大學資訊管理研究所碩士論文。
許瑜倍,2008,以本體論為基礎之對話式案例推理支援醫療案例搜尋,雲林科技大學資訊管理研究所碩士論文。
游斯涵,2009,使用機器學習方法於語音文件檢索之研究,國立臺灣師範大學資訊工程研究所碩士論文。
黃盈豪,2008,以知識本體為基礎建構病毒分類知識庫系統,中原大學資訊管理研究所碩士論文。
楊宗翰,2010,以單一使用者興趣檔為基礎的查詢擴展與文件重排序系統,國立中央大學資訊管理研究所碩士論文。
趙文璨,2011,運用知識本體於軍事新聞查詢擴展之研究,國防大學管理學院資訊管理研究所碩士論文。
鄭旭峰,2012,以模糊正規概念分析法建構「資訊安全」新聞查詢之研究,國防大學管理學院資訊管理研究所碩士論文。
蔡子龍,2008,以概念階層為基礎之互動式網路查詢擴展系統,國立高雄第一科技大學資訊管理研究所碩士論文。
二、英文部分
Agarwal, S., Singhal, A., & Bedi, P., 2013, IPTC Based Ontological Representation of Educational News RSS Feeds. In Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing , pp. 353-359.
Akinribido, C. T., Afolabi, B. S., Akhigbe, B. I., and Udo, I. J., 2011. A Fuzzy-Ontology Based Information Retrieval System for Relevant Feedback. International Journal of Computer Science Issues (IJCSI), 8(1).
Aizawa, A., 2003. An information-theoretic perspective of tf–idf measures. Information Processing & Management, 39(1), pp. 45-65.
Alonso, O., Gertz, M., & Baeza-Yates, R. (2007, December). On the value of temporal information in information retrieval. In ACM SIGIR Forum, 41(2), pp. 35-41.
Bergamaschi, S., Domnori, E., Guerra, F., Trillo Lado, R., and Velegrakis, Y., 2011. Keyword search over relational databases: a metadata approach. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, pp. 565-576.
Bhatt, M., Rahayu, W., Soni, S. P., and Wouters, C., 2009. Ontology driven semantic profiling and retrieval in medical information systems. Web Semantics: Science, Services and Agents on the World Wide Web, 7(4), pp. 317-331.
Bhogal, J., Macfarlane, A., and Smith, P., 2007. A review of ontology based query expansion. Information processing & management, 43(4),pp. 866-886.
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., and Hellmann, S., 2009. DBpedia-A crystallization point for the Web of Data. Web Semantics: Science, Services and Agents on the World Wide Web, 7(3), pp. 154-165.
Cabrio, E., Cojan, J., Aprosio, A. P., Magnini, B., Lavelli, A., and Gandon, F., 2012. QAKiS: an Open Domain QA System based on Relational Patterns. In International Semantic Web Conference (Posters & Demos) ,Vol. 914.
Cao, G., Nie, J. Y., Gao, J., and Robertson, S., 2008. Selecting good expansion terms for pseudo-relevance feedback. In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval ,pp. 243-250.
Carpineto, C., and Romano, G., 2012. A survey of automatic query expansion in information retrieval. ACM Computing Surveys (CSUR), 44(1), 1.
Chen, Y. F. R., Di Fabbrizio, G., Gibbon, D., Jora, S., Renger, B., & Wei, B., 2007. Geotracker: geospatial and temporal RSS navigation. In Proceedings of the 16th international conference on World Wide Web , pp. 41-50.
Conesa, J., Storey, V. C., and Sugumaran, V., 2008. Improving web-query processing through semantic knowledge. Data & knowledge engineering, 66(1), pp. 18-34.
Denton, J. W., & Peace, A. G., 2003. Selection and use of MySQL in a database management course. Journal of Information Systems Education, 14(4), pp. 401-408.
Gasevic, D., Zouaq, A., Torniai, C., Jovanovic, J., & Hatala, M., 2011. An approach to folksonomy-based ontology maintenance for learning environments. Learning Technologies, IEEE Transactions on, 4(4), pp. 301-314.
Harb, H. M., Fouad, K. M., and Nagdy, N. M., 2011. Semantic Retrieval Approach for Web Documents. International Journal of Advanced Computer Science and Applications (IJACSA), 2(9), pp. 11-75.
Heim, P., Hellmann, S., Lehmann, J., Lohmann, S., and Stegemann, T., 2009. RelFinder: Revealing relationships in RDF knowledge bases. In Semantic Multimedia, pp. 182-187.
Hoffart, J., Suchanek, F. M., Berberich, K., Lewis-Kelham, E., De Melo, G., and Weikum, G., 2011. Yago2: exploring and querying world knowledge in time, space, context, and many languages. In Proceedings of the 20th international conference companion on World wide web, pp. 229-232.
Hoffart, J., Suchanek, F. M., Berberich, K., and Weikum, G., 2013. YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence, Vol.194, pp. 28-61.
Jansen, B. J., and Pooch, U., 2001. A review of web searching studies and a framework for future research. Journal of the American Society for Information science and Technology, 52(3), pp. 235-246.
Li, Q., Wang, J., Chen, Y. P., and Lin, Z., 2010. User comments for news recommendation in forum-based social media. Information Sciences, 180(24), pp. 4929-4939.
Lee, K. S., Croft, W. B., and Allan, J., 2008. A cluster-based resampling method for pseudo-relevance feedback. In Proceedings of the 31th Annual International ACM SIGIR Conference on Research andDevelopment in Information Retrieval. ACM Press, pp. 235–242.
Liu, S., Liu, F., Yu, C., And Meng, W., 2004. An effective approach to document retrieval via utilizing wordnetand recognizing phrases. In Proceedings of the 27th Annual International ACM SIGIR Conferenceon Research and Development in Information Retrieval. ACM Press, pp. 266–272.
Martins, B., Manguinhas, H., & Borbinha, J., 2008. Extracting and exploring the geo-temporal semantics of textual resources. In Semantic Computing, 2008 IEEE International Conference, pp. 1-9.
Morsey, M., Lehmann, J., Auer, S., Stadler, C., and Hellmann, S., 2012. Dbpedia and the live extraction of structured data from wikipedia. Program: electronic library and information systems, 46(2), pp.157-181.
Noy, N. F., & McGuinness, D. L., 2001. Ontology development 101: A guide to creating your first ontology.
Ong, T. H., Chen, H., Sung, W. K., & Zhu, B., 2005. Newsmap: a knowledge map for online news. Decision Support Systems, 39(4), pp. 583-597.
Perelomov, I., Azcarraga, A. P., Tan, J., & Chua, T. S., 2002. Using structured self-organizing maps in news integration websites. In 11th International World Wide Web Conference.
Purves, R., Clough, P., & Jones, C., 2010. Highlights from GIR 2010: The 6th Workshop on Geographic Information Retrieval. SIGSPATIAL Special, 2(1), pp. 17-23.
Ricardo, Baeza-Yates and Berthier, Riberiro-Neto, 1999. Modern information retrieval. ACM Press.
Sahib, N. G., Tombros, A., and Ruthven, I., 2010. Enabling interactive query expansion through eliciting the potential effect of expansion terms. In Advances in Information Retrieval , pp. 532-543.
Sinnott, R. W., 1984. Virtues of the Haversine. Sky and telescope, Vol.68, p. 158.
Strötgen, J., Gertz, M., and Popov, P., 2010. Extraction and exploration of spatio-temporal information in documents. In Proceedings of the 6th Workshop on Geographic Information Retrieval , p. 16.
三、網路部分
台灣WIKI,新聞定義,參見台灣WIKI網站http://www.twwiki.com/wiki/新聞. [visited in 2014/03/21]
軍事新聞通訊社,軍聞消息,參見軍聞社網站http://mna.gpwb.gov.tw/IndexNews.aspx?PageNum=1. [visited in 2014/03/21]
青年日報社,軍事,參見青年日報社網站http://news.gpwb.gov.tw/newsclass.aspx?ydn=026dTHGgTRNpmRFEgxcbfW9%2fceCBc7IeZtSN5apcT9Q%3d. [visited in 2014/03/21]
數位典藏國家型科技計畫,中文斷詞系統,參見數位典藏國家型科技計畫網站http://ckipsvr.iis.sinica.edu.tw/. [visited in 2014/03/21]
DBpedia Homepage,DBpedia ontology,(available online at http://wiki.dbpedia.org/Downloads39) [visited in 2014/03/21]

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