發(fā)布時(shí)間：2018-08-06 17:41

【摘要】：深度萬維網(wǎng)蘊(yùn)藏著海量的信息,由于其隱藏性,現(xiàn)有的搜索引擎很難搜索到其中的內(nèi)容。目前還沒有研究出很好的方法和模型來捕獲其內(nèi)容,很大程度上制約了人們獲取更多、更有價(jià)值的信息,因此如何充分的獲取深度萬維網(wǎng)中的信息成為了一個(gè)難題。 本文提出了基于關(guān)鍵詞的深度萬維網(wǎng)的數(shù)據(jù)庫的查詢方法,該方法在考慮了深度萬維網(wǎng)自身特點(diǎn)的基礎(chǔ)上,又借鑒了傳統(tǒng)的搜索引擎思想。文章比較了各種分類算法,最終采用樸素貝葉斯算法對(duì)關(guān)鍵詞進(jìn)行分類,找到其所屬的領(lǐng)域,該算法適合深度萬維網(wǎng)查詢模型,簡(jiǎn)單明了,準(zhǔn)確性也很高。關(guān)鍵詞與屬性關(guān)聯(lián)引入了本體的概念,利用WordNet詞典生成的概念層次樹,提出了基于本體的語義相似度計(jì)算方法。該方法擺脫了人們的主觀意識(shí),簡(jiǎn)單而直觀,代價(jià)也不是很大。確定了查詢關(guān)鍵詞所屬的領(lǐng)域和其所對(duì)應(yīng)的關(guān)系表中的屬性后,最終生成查詢的SQL語句,把查詢的頁面信息反饋給用戶。 實(shí)驗(yàn)部分也舉例驗(yàn)證和測(cè)試了所提出的方法的可行性與準(zhǔn)確性,不僅解決了深度萬維網(wǎng)多領(lǐng)域的數(shù)據(jù)庫查詢,而且能夠與現(xiàn)有的搜索引擎進(jìn)行整合,幫助用戶快速有效的查詢。
[Abstract]:The deep World wide Web contains a great deal of information. Because of its concealment, it is difficult for the existing search engines to search for the contents. At present, there is no good method and model to capture its content, which restricts people to obtain more and more valuable information, so how to obtain the information in the depth of the World wide Web has become a difficult problem. In this paper, a query method of the database based on the keyword depth World wide Web is proposed. This method not only takes into account the characteristics of the depth World wide Web, but also draws lessons from the traditional search engine idea. This paper compares various classification algorithms, and finally classifies keywords by naive Bayes algorithm, and finds its domain. The algorithm is suitable for deep World wide Web query model, simple and clear, and has high accuracy. The concept of ontology is introduced by associating keywords with attributes, and the semantic similarity calculation method based on ontology is proposed by using the concept hierarchy tree generated by WordNet dictionary. This method gets rid of people's subjective consciousness, simple and intuitionistic, and the cost is not very big. After determining the domain to which the query keywords belong and the attributes in the corresponding relational table, the SQL statement of the query is generated, and the page information of the query is fed back to the user. The experiment also verifies and tests the feasibility and accuracy of the proposed method, which not only solves the database query of deep World wide Web, but also integrates with the existing search engine to help users to query quickly and effectively.
【學(xué)位授予單位】：上海師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP391.1;TP311.13

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