本文選題：企業(yè)垂直搜索　切入點：增量維護　出處：《江蘇科技大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：對垂直搜索引擎的技術(shù)改進和優(yōu)化，在信息產(chǎn)業(yè)界一直備受關(guān)注，然而長期以來針對該領(lǐng)域的相關(guān)研究多集中于網(wǎng)絡(luò)數(shù)據(jù)爬取、檢索效率改進以及個性服務(wù)等方面，而很少涉及對垂直搜索引擎整體架構(gòu)性能的研究。具體到企業(yè)級層面，相關(guān)研究也多集中于對網(wǎng)頁數(shù)據(jù)信息的處理，，很少有針對單個企業(yè)信息的縱向深度挖掘，導(dǎo)致搜索返回結(jié)果總體質(zhì)量不高。如何改善企業(yè)垂直搜索引擎的服務(wù)性能，為工作開展提供更具價值的決策支持信息，已成為學(xué)術(shù)界和企業(yè)界的關(guān)注焦點。本課題立足現(xiàn)實需要，基于廣泛的文獻(xiàn)閱讀，針對具體企業(yè)垂直搜索引擎的總體架構(gòu)展開研究，重點優(yōu)化改進了物化視圖增量維護和搜索結(jié)果呈現(xiàn)進行算法，并結(jié)合某船舶配套生產(chǎn)企業(yè)的應(yīng)用實例進行驗證評價。 首先，針對企業(yè)垂直搜索引擎業(yè)務(wù)搜索實體層，通過建立視圖并以實體化形式存儲于數(shù)據(jù)倉庫，運用“緩存”機制來改善系統(tǒng)檢索效率。由于物化視圖存儲內(nèi)容具有靜態(tài)特征，需要著重實現(xiàn)物化視圖的更新維護。文章通過引入語義約束概念，對物化視圖增量更新維護算法進行優(yōu)化，有效改善提升了系統(tǒng)的檢索效率。 其次，對于表達(dá)層的檢索結(jié)果呈現(xiàn)，通過應(yīng)用元數(shù)據(jù)驅(qū)動加以實現(xiàn)，結(jié)合用戶需求特征將“個性化”特征信息通過元數(shù)據(jù)加以存儲，以“二級視圖”維護優(yōu)化系統(tǒng)性能。在個性化搜索服務(wù)結(jié)果呈現(xiàn)時，借鑒主題元搜索的數(shù)據(jù)整合思想對搜索結(jié)果排序工作進行優(yōu)化。 最后，將上述改進優(yōu)化工作統(tǒng)一于企業(yè)垂直搜索系統(tǒng)的整體架構(gòu)，詳細(xì)闡述了其具體應(yīng)用實現(xiàn)機制，并結(jié)合某船舶配套生產(chǎn)企業(yè)應(yīng)用實例驗證說明本文研究工作的正確性和有效性。
[Abstract]:The technology improvement and optimization of vertical search engine has been paid much attention to in the information industry. However, for a long time, the related research in this field has focused on the aspects of data crawling, retrieval efficiency improvement and personality service, etc. However, there is little research on the performance of vertical search engine architecture. On the enterprise level, the related research also focuses on the processing of web page data information, and there are few vertical depth mining for individual enterprise information. How to improve the service performance of enterprise vertical search engine and provide more valuable decision support information for work, This topic is based on the need of reality, based on extensive literature reading, aiming at the overall structure of vertical search engine in specific enterprises. The algorithm of incremental maintenance of physical and chemical view and rendering of search results are optimized and improved, and the verification and evaluation are carried out with an application example of a ship supporting manufacturing enterprise. First of all, for the enterprise vertical search engine business search entity layer, by creating a view and storing it in a data warehouse in the form of materialization, The mechanism of "cache" is used to improve the retrieval efficiency of the system. Because of the static characteristics of the materialized view storage, it is necessary to realize the updating and maintenance of the materialized view. In this paper, the concept of semantic constraint is introduced. The incremental update maintenance algorithm of materialized view is optimized to improve the retrieval efficiency of the system. Secondly, for the presentation of retrieval results in the expression layer, it is realized by applying metadata driver, and "personalized" feature information is stored through metadata combined with the characteristics of user requirements. The performance of the optimized system is maintained by "two-level view". When the results of personalized search service are presented, the sorting of search results is optimized by using the idea of data integration of topic meta-search. Finally, the above improvement and optimization work is unified into the whole structure of the enterprise vertical search system, and the specific application and implementation mechanism is described in detail. The validity and validity of the research work are illustrated by an application example of a ship supporting manufacturing enterprise.
【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP391.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 胡孔法,宋愛波,董逸生,趙慶建;數(shù)據(jù)倉庫中實視圖聚集函數(shù)的增量更新[J];東南大學(xué)學(xué)報(自然科學(xué)版);2002年01期

2 冷春霞;數(shù)據(jù)倉庫中物化視圖的選擇方法[J];華東理工大學(xué)學(xué)報(自然科學(xué)版);2005年02期

3 張書江;;基于超鏈接分析搜索引擎頁面排序算法的剖析[J];安徽理工大學(xué)學(xué)報(自然科學(xué)版);2008年02期

4 王繼成,蕭嶸,孫正興,張福炎;Web信息檢索研究進展[J];計算機研究與發(fā)展;2001年02期

5 李保利,陳玉忠,俞士汶;信息抽取研究綜述[J];計算機工程與應(yīng)用;2003年10期

6 杜威;潘久輝;鄒先霞;;多實化視圖的自維護算法[J];計算機工程;2006年09期

7 范新華,陳宏兵,許滿武;基于MPEG-7的多媒體搜索引擎構(gòu)建[J];計算機應(yīng)用研究;2004年11期

8 朱學(xué)昊;王儒敬;余鋒林;唐昱;;基于Lucene的站內(nèi)搜索設(shè)計與實現(xiàn)[J];計算機應(yīng)用與軟件;2008年10期

9 彭蕾;廖湖聲;金雪云;;XQuery物化視圖增量更新系統(tǒng)框架的研究[J];計算機應(yīng)用與軟件;2011年06期

10 ;Incremental View Computation Model for Object-Oriented Information[J];Wuhan University Journal of Natural Sciences;2004年03期

相關(guān)博士學(xué)位論文 前1條

1 葛世倫;大型單件小批制造企業(yè)信息模型研究[D];南京理工大學(xué);2002年

相關(guān)碩士學(xué)位論文 前2條

1 尉建興;基于Lucene搜索引擎的研究與應(yīng)用[D];太原理工大學(xué);2011年

2 李巍;企業(yè)信息搜索引擎的設(shè)計與關(guān)鍵技術(shù)的研究[D];內(nèi)蒙古農(nóng)業(yè)大學(xué);2011年

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