博碩士論文 974303006 詳細資訊




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姓名 陳宛聖(Wan-sheng Chen)  查詢紙本館藏   畢業系所 資訊管理學系在職專班
論文名稱 企業內部搜尋介面改善之研究-以A公司為例
(A Study on the Improvement of Information Search within an Enterprise —The Case of Company A)
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摘要(中) 自二十世紀末,網際網路與資訊技術快速發展,深深影響了全世界人們處理事務
的方式與企業經營的模式。尤其在知識經濟的時代,隨著時間的累積,企業內部快速
累積大量、異質、結構或非結構的營運等資訊。在全球性強烈競爭的環境下,如何透
過企業內部搜尋工具快速取得最相關的資訊,是企業亟需解決的課題。
本研究之個案公司係全球知名個人電腦品牌,目前專注於全球資訊產品品牌事業。
分析個案公司問題,發現隨著企業規模日漸擴大及成長,分散各地的業務及交易資訊
大量且快速累積,使用者面臨查詢出大量非使用者需要的資訊,亦無法藉由回饋資訊
判斷內容是否符合需求;且無法將最相關資訊優先排序的問題。因此期望提供個案公
司一個更好的檢索方式,以更直覺化的方式,提高查詢結果的相關 (relevance) 程度,
提供使用者精鍊 (refine) 查詢結果,並減少提取 (reduce retrieval) 實際檔案的頻率。
讓企業內部有一更有效溝通、分享的知識共享平台,以提升企業恆久競爭優勢。
個案公司面臨搜尋結果相關性不足,查詢結果頁回饋摘要資訊不明確,排序不如
預期等問題。因此本研究參考網際網路及企業內部搜尋之研究,發現在搜尋領域方面
有關搜尋技術、使用者操作模式等因素之相關影響,構思可能的改善方向,包含 (1) 使
用以領域專家建構的Navigator 以改善查詢語彙, (2) 快速預覽功能, (3) 藉由使用
者提供的明確回饋資訊改善排序。進而建置雛型系統,並就市場、技術、法律及經濟
四個層面進行可行性分析,供個案公司搜尋介面進行改善方案之參考。
摘要(英) Since the end of 20th century, the rapid developments of Internet and information
technology have changed everyone’s daily life and the way we manage business. With
knowledge booming and economy evolving, the information and data circulating within a
business entity can build up substantially and rapidly. The data accumulated through time
can be structural, non-structural, homogeneous or heterogeneous. It is essential for a
business to thrive in a global competition that internal information can be retrieved
effectively. This means that the internal search engine can locate and provide accurate
information to fulfill business requirements in a timely manner.
This case study looks into a world leading personal computer company. Currently, this
company focuses on ICT products in the global market. As the company expands,
information gathered from various functions in branch companies all over the world surged.
Now the company is faced with the challenge to consolidate and utilize the information
collected from various sources. Currently, the search engine in the company does not
always find the information that users needed. Often times, the system would provide
results that are not relevant at all. The search engine can barely identify the relevancy of the
subjects searched.
Therefore, this study proposes a more effective way for data searching and display. The
proposed method is more intuitive, and can prioritize the search results according to
relevancy, and refine the query results such that relevant results can be more easily
identified, and the frequency of downloading physical files can be drastically reduced.
Thus, this study enhances the competitive advantage by establishing a platform where
information can be effectively communicated and shared for operational purposes.
This study identifies several major problems such as the lack of relevancy, insufficient
summary data, and improperly prioritized results. To model a solution, literature on Internet
search and enterprise search were reviewed. We have also factored users’ behaviors in to
our proposal. The solutions include:
1. Improve the query terminologies by leveraging domain expert knowledge through
the Navigators system.
2. A fast preview function which can generate meaningful summaries.
3. Gather feedbacks from users to improve how search engine prioritizes results.
iii
In this study, we built a prototype to prove the concept, and hope to extend it with
more functional features. We analyzed the feasibility of the proposal from four aspects:
marketing, technical, legal and economic. Analysis shows the proposed scheme to be
feasible from these aspects.
關鍵字(中) ★ 資訊提取
★ 企業搜尋
★ 相關性
關鍵字(英) ★ Enterprise Search
★ Relevance
★ Information Access
論文目次 目錄
中文摘要 .................................................................................................................................................. I
英文摘要 ................................................................................................................................................. II
誌謝 ....................................................................................................................................................... IV
目錄 ........................................................................................................................................................ V
圖目錄 .................................................................................................................................................. VII
表目錄 ................................................................................................................................................. VIII
1 緒論 .................................................................................................................................................... 1
1-1 研究背景與動機 ........................................................................................................................... 1
1-2 研究目的與問題 ........................................................................................................................... 3
1-3 研究程序與範圍 ........................................................................................................................... 4
2 文獻探討 ............................................................................................................................................. 5
2-1 搜尋相關研究 ............................................................................................................................... 5
2-2 企業內部搜尋研究 ....................................................................................................................... 8
3 現況分析與改善建議 ..........................................................................................................................12
3-1 產業概況 .....................................................................................................................................12
3-2 個案公司簡介 ..............................................................................................................................12
3-3 個案問題分析 ..............................................................................................................................13
3-4 改善方案 .....................................................................................................................................18
4 可行性分析 ........................................................................................................................................25
4-1 市場可行性 .................................................................................................................................25
vi
4-2 技術可行性 .................................................................................................................................27
4-3 法律可行性 .................................................................................................................................36
4-4 經濟可行性 .................................................................................................................................39
5 結論與建議 ........................................................................................................................................41
參考文獻 ................................................................................................................................................44
參考文獻 參考文獻
期刊及書籍:
Abrol, M., Latarche, N., Mahadevan, U., Mao, J., Mukherjee, R., Raghavan, P., et al. (2001).
Navigating large-scale semi-structured data in business portals. Paper presented at
the Proceedings of the 27th VLDB Conference, Roma, Italy.
Babu, G. (2002). Fundamentals of Modern Statistical Methods. Technometrics, 44(1),
83-83.
Dmitriev, P., Eiron, N., Fontoura, M., & Shekita, E. (2006). Using annotations in enterprise
search.
Eastman, C., & Jansen, B. (2003). Coverage, relevance, and ranking: The impact of query
operators on Web search engine results. ACM Transactions on Information Systems
(TOIS), 21(4), 383-411.
Gantz, J., Chute, C., Manfrediz, A., Minton, S., Reinsel, D., Schlichting, W., et al. (2008). The
diverse and exploding digital universe. IDC White Paper, 2.
Hawking, D. (2004). Challenges in enterprise search. Paper presented at the Fifteenth
Australian Database Conference.
Lucas, W., & Topi, H. (2002). Form and function: the impact of query term and operator
usage on web search results. Journal of the American Society for Information Science
and Technology, 53(2), 95-108.
Mukherjee, R., & Mao, J. (2004). Enterprise search: Tough stuff. Queue, 2(2), 36-46.
Spink, A. (1995). Term relevance feedback and mediated database searching:Implications
for information retrieval practice and design. Inf. Proc. Manage(31, Jun), 161-171.
Spink, A., Bateman, J., & Jansen, B. (1999). Searching the Web: A survey of Excite users.
Internet Research: Electronic Networking Applications and Policy, 9(2), 117-128.
Stewart, T. (1997). Intellectual capital: The new wealth of organizations: Doubleday New
York, NY, USA.
45
Tiwana, A. (2000). The knowledge management toolkit: practical techniques for building a
knowledge management system: Prentice Hall PTR Upper Saddle River, NJ, USA.
網路資料:
Andrews, W. (2009, 2 Sep). Magic Quadrant for Information Access Technology.
Retrieved 21 May 2010, from
http://www.gartner.com/technology/media-products/reprints/microsoft/vol7/article2
/article2.html
Google. (2010a). Google Fun Facts. Retrieved 11 Jun, 2010, from
http://www.google.com/press/funfacts.html
Google. (2010b). More search help : Google search basics - Web Search Help. Retrieved
10 May 2010, from
http://www.google.com/support/websearch/bin/answer.py?hl=en&answer=136861
Kearn, M. (2006, 6 Jun). MOSS Architecture and Shared Services. Retrieved 17 May
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http://blogs.msdn.com/martinkearn/archive/2006/06/06/MOSS-Architecture-_2600_
-Shared-Services.aspx
Kulshreshtha, V. (2009, 6 Mar). FAST ESP: Architecture. Retrieved 10 Jun 2010, from
http://blogs.technet.com/b/vedant/archive/2009/03/06/fast-esp-architecture.aspx
Lormiston. (2008, Jun 20). FAST ESP Web Parts for SharePoint Server 2007. Retrieved 8
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BDD35F0/FAST_ESP_Data_Sheet.pdf
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http://www.microsoft.com/global/enterprisesearch/en/us/PublishingImages/scrn-con
nect-tutorial-lg.jpg
46
Microsoft. (2010b, 19 Apr). Microsoft FAST Search Server 2010 for SharePoint Evaluation
Guide. Retrieved 18 May 2010, from
http://www.microsoft.com/downloads/details.aspx?FamilyID=f1e3fb39-6959-4185-8b
28-5315300b6e6b&displaylang=en
指導教授 范錚強(C.K. Farn) 審核日期 2010-7-27
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