本文關(guān)鍵詞： 網(wǎng)絡(luò)表格擴(kuò)展 列重合度 列映射 一致性支持度　出處：《計(jì)算機(jī)科學(xué)》2017年09期 　論文類型：期刊論文

【摘要】：網(wǎng)絡(luò)表格的擴(kuò)展是根據(jù)已知信息擴(kuò)展與主列相關(guān)的其他屬性列,以滿足人們通過(guò)表格獲取感興趣信息的需求。目前的研究工作主要針對(duì)由主列和待擴(kuò)展列組成的實(shí)體-屬性二元表,并將主列視為其他屬性列擴(kuò)展的唯一依據(jù),但該技術(shù)運(yùn)用到具有多個(gè)待擴(kuò)展列的網(wǎng)絡(luò)表格時(shí),由多個(gè)二元表拼接而成的結(jié)果表很容易出現(xiàn)實(shí)體不一致現(xiàn)象。綜合考慮各屬性列間以及元組行間的關(guān)系,提出一致性支持度概念,設(shè)計(jì)并實(shí)現(xiàn)了基于列重合度的表格一致性擴(kuò)展系統(tǒng)CCA,其既能保證候選值的高匹配分?jǐn)?shù),又能使結(jié)果表中填值所使用的數(shù)據(jù)源表數(shù)目最小化,有效地避免了實(shí)體不一致問(wèn)題。實(shí)驗(yàn)表明,與現(xiàn)有方法相比CCA系統(tǒng)有更高的精確度、覆蓋率、一致性,以及更低的查詢時(shí)間代價(jià)。
[Abstract]:The extension of the network table extends the other attribute columns associated with the main column based on known information, In order to meet the need of obtaining information of interest through tables, the current research mainly focuses on the entity attribute binary table, which consists of the main column and the column to be expanded, and regards the main column as the sole basis for the extension of other attribute columns. However, when this technique is applied to network tables with multiple columns to be expanded, the result tables, which are composed of multiple binary tables, are prone to entity inconsistency. The relationships between attribute columns and tuple rows are considered synthetically. The concept of consistency support is proposed, and a table consistency extension system (CCAA) based on column coincidence degree is designed and implemented. It can not only guarantee the high matching score of candidate values, but also minimize the number of data source tables used for filling out values in the result table. Experimental results show that CCA systems have higher accuracy, coverage, consistency and lower query time cost than the existing methods.
【作者單位】： 北京交通大學(xué)計(jì)算機(jī)與信息技術(shù)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金面上項(xiàng)目(61370060)資助
【分類號(hào)】：TP393.0

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