本文選題：語(yǔ)義搜索　切入點(diǎn)：本體　出處：《山東大學(xué)》2012年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：隨著Web以及相關(guān)技術(shù)的高速發(fā)展,信息爆炸已經(jīng)出現(xiàn)在當(dāng)今的互聯(lián)網(wǎng)上。搜索引擎是Internet上獲取信息的最有效的工具。目前互聯(lián)網(wǎng)上的文檔大都是無(wú)結(jié)構(gòu)或者是半結(jié)構(gòu)的,計(jì)算機(jī)無(wú)法理解文檔的語(yǔ)義信息。因此搜索引擎的查準(zhǔn)率和查全率尚難以滿(mǎn)足用戶(hù)的實(shí)際需求,與此同時(shí),已有的搜索引擎在進(jìn)行領(lǐng)域內(nèi)的某些查詢(xún)時(shí)也顯得不夠智能化。本體和語(yǔ)義技術(shù)為改善Web搜索效果提供了新的思路,對(duì)使用基于語(yǔ)義的搜索技術(shù)提高信息檢索的精確率的研究已取得了一定的成果,針對(duì)語(yǔ)義檢索的方法開(kāi)始出現(xiàn),比如基本概念定位和復(fù)雜約束查詢(xún)。語(yǔ)義搜索是將搜索引擎同語(yǔ)義網(wǎng)的相關(guān)技術(shù)結(jié)合來(lái)改善查詢(xún)的結(jié)果。 通過(guò)對(duì)語(yǔ)義Web的相關(guān)概念、相關(guān)開(kāi)發(fā)技術(shù)(特別是Jena、Pellet、Protege-OWLAPI三個(gè)重要開(kāi)發(fā)框架)以及對(duì)搜索引擎系統(tǒng)開(kāi)發(fā)流程的研究,并借助Protege本體編輯工具和Graphviz繪圖工具,本文設(shè)計(jì)并實(shí)現(xiàn)了一種結(jié)合SVG和AJAX技術(shù)圖形化定制用戶(hù)查詢(xún)的語(yǔ)義搜索系統(tǒng),使使用者能夠直觀的定制滿(mǎn)足自己需求的查詢(xún)。該系統(tǒng)使用web2.0中的核心技術(shù)Ajax去改善查詢(xún)定制的交互性和用戶(hù)友好性。系統(tǒng)可實(shí)現(xiàn)客戶(hù)端上基于SVG的圖形完成概念的定位以及像查詢(xún)類(lèi)別添加約束的過(guò)程。服務(wù)器接受用戶(hù)的請(qǐng)求然后推理出基于布爾邏輯的概念實(shí)例,返回符合要求的相關(guān)網(wǎng)頁(yè)文檔。本系統(tǒng)通過(guò)設(shè)計(jì)如下八個(gè)模塊：本體持久化模塊,前臺(tái)圖形化定制頁(yè)面模塊,服務(wù)器控制器Servlets模塊,SVG繪圖功能模塊,限制輸入Suggest模塊,樹(shù)型視圖處理模塊,OWL本體解析模塊,RDQL查詢(xún)模塊,實(shí)現(xiàn)了六項(xiàng)功能：本體類(lèi)別層次瀏覽,設(shè)置查詢(xún)類(lèi)別,為類(lèi)別添加關(guān)聯(lián)對(duì)象屬性,為類(lèi)別添加關(guān)聯(lián)數(shù)據(jù)屬性,類(lèi)別實(shí)例化,查詢(xún)實(shí)例集合。 實(shí)驗(yàn)結(jié)果表明,基于圖形化定制的語(yǔ)義搜索系統(tǒng)相比傳統(tǒng)的基于關(guān)鍵字檢索的搜索引擎,能有效的改善查準(zhǔn)率和查全率。
[Abstract]:With the rapid development of Web and related technologies, information explosion has appeared on the Internet today. Search engine is the most effective tool for obtaining information on Internet. At present, most documents on the Internet are unstructured or semi-structured. The computer cannot understand the semantic information of the document. Therefore, the precision and recall rate of the search engine is still difficult to meet the actual needs of the user, at the same time, The existing search engines are not intelligent enough for some queries in the field. Ontology and semantic technology provide a new way to improve the efficiency of Web search. Some achievements have been made in improving the accuracy rate of information retrieval by using semantic search technology. Semantic search is a combination of search engine and semantic Web technology to improve the result of query. Through the research on the related concepts of semantic Web, the related development technology (especially the three important development frameworks of Jena pellet pellet protege-owl API) and the development process of search engine system, and with the help of Protege ontology editing tools and Graphviz drawing tools, This paper designs and implements a semantic search system which combines SVG and AJAX technology to customize user query graphically. The system uses Ajax, the core technology in web2.0, to improve the interactivity and user-friendliness of query customization. The system can realize the completion of graphics based on SVG on the client side. The server accepts the user's request and deduces a conceptual example based on Boolean logic. This system designed the following eight modules: ontology persistence module, foreground graphical custom page module, server controller Servlets module, SVG drawing function module, limited input Suggest module, the system is designed as follows: ontology persistence module, foreground graphic customization page module, server controller Servlets module and Suggest module. Tree view processing module / owl ontology parsing module / RDQL query module, which implements six functions: browse ontology class hierarchy, set query category, add associated object attribute for category, add associated data attribute for category, instantiate category. Query the collection of instances. The experimental results show that the semantic search system based on graphical customization can improve the precision and recall effectively compared with the traditional search engine based on keyword retrieval.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類(lèi)號(hào)】：TP311.52

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本文編號(hào)：1627737