【摘要】：隨著語義網(wǎng)中RDF數(shù)據(jù)的大量涌現(xiàn),語義搜索引擎為用戶搜索RDF數(shù)據(jù)帶來了便利.但是,如何自動(dòng)地發(fā)現(xiàn)包含語義網(wǎng)信息資源的站點(diǎn),并高效地在語義網(wǎng)站點(diǎn)中收集語義網(wǎng)信息資源,一直是語義搜索引擎所面臨的問題.首先介紹了語義網(wǎng)站點(diǎn)的鏈接模型.該模型刻畫了語義網(wǎng)站點(diǎn)、語義網(wǎng)信息資源、RDF模型和語義網(wǎng)實(shí)體之間的關(guān)系.基于該模型討論了語義網(wǎng)實(shí)體的歸屬問題,并進(jìn)一步定義了語義網(wǎng)站點(diǎn)的發(fā)現(xiàn)規(guī)則;另外,從站點(diǎn)鏈接模型出發(fā),定義了語義網(wǎng)站點(diǎn)依賴圖,并給出了對語義網(wǎng)站點(diǎn)進(jìn)行排序的算法.將相關(guān)算法在一個(gè)真實(shí)的語義搜索引擎中進(jìn)行了初步測試.實(shí)驗(yàn)結(jié)果表明,所提出的方法可以有效地發(fā)現(xiàn)語義網(wǎng)站點(diǎn)并對站點(diǎn)進(jìn)行排序.
[Abstract]:With the emergence of a large number of RDF data in the semantic web, semantic search engines have brought convenience for users to search for RDF data. However, how to automatically find sites containing semantic web information resources and efficiently collect semantic web information resources in semantic web sites is always a problem for semantic search engines. Firstly, the link model of semantic site points is introduced. The model describes the relationship among semantic Web sites, semantic Web information resources, RDF models and semantic Web entities. Based on this model, this paper discusses the problem of semantic web entities' attribution, and further defines the discovery rules of semantic site points, and defines the semantic site point dependency graph based on the site link model. An algorithm for sorting semantic site points is also presented. The related algorithms are tested in a real semantic search engine. The experimental results show that the proposed method can effectively find the semantic sites and sort the sites.
【作者單位】： 東南大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院;
【基金】：國家自然科學(xué)基金No.60773106 國家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973)No.2003CB317004~~
【分類號(hào)】：TP393.092

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本文編號(hào)：2212476