本文選題：信息檢索 + 科學(xué)數(shù)據(jù)　； 參考：《數(shù)字圖書館論壇》2017年11期

【摘要】：通過對(duì)科學(xué)數(shù)據(jù)用戶相關(guān)性判斷行為的研究,探索科學(xué)數(shù)據(jù)相關(guān)性判斷過程中所使用的指標(biāo)及模式,加深對(duì)科學(xué)數(shù)據(jù)相關(guān)性判定機(jī)制的理解,為設(shè)計(jì)開發(fā)智能化數(shù)據(jù)搜索引擎提供算法和理論支撐。使用出聲思考和事后訪談兩種方法對(duì)用戶相關(guān)性判斷行為進(jìn)行研究。數(shù)據(jù)在真實(shí)的環(huán)境中收集,使用攝像機(jī)記錄實(shí)驗(yàn)過程,采用扎根理論對(duì)訪談數(shù)據(jù)進(jìn)行編碼分析。在定性研究的基礎(chǔ)上設(shè)計(jì)問卷,開展大樣本問卷調(diào)查。科學(xué)數(shù)據(jù)用戶相關(guān)性判斷過程使用的標(biāo)準(zhǔn)可以分為數(shù)據(jù)本體性和數(shù)據(jù)可用性兩類,共9個(gè)指標(biāo)。與其他信息類型相比,科學(xué)數(shù)據(jù)檢索有更強(qiáng)的目的性,相關(guān)性判斷過程不能缺少對(duì)數(shù)據(jù)主題性、質(zhì)量和權(quán)威性的評(píng)估,其他指標(biāo)在具體情境中,只有受到相關(guān)信息需求刺激才會(huì)調(diào)用。
[Abstract]:Through the research on the behavior of scientific data user correlation judgment, this paper explores the indicators and models used in the process of scientific data correlation judgment, and deepens the understanding of the scientific data correlation judgment mechanism. It provides algorithm and theory support for design and development of intelligent data search engine. This paper studies the behavior of user correlation judgment by means of sound thinking and post-interview. The data is collected in real environment, the experimental process is recorded by video camera, and the interview data is coded and analyzed by root theory. On the basis of qualitative research, a large sample questionnaire was designed. The criteria used in the process of determining the relevance of scientific data users can be divided into two categories: data ontology and data availability. Compared with other types of information, scientific data retrieval has a stronger purpose, correlation judgment process can not be lack of data thematic, quality and authoritative evaluation, other indicators in specific situations, It is called only if stimulated by the need for relevant information.
【作者單位】： 中國(guó)農(nóng)業(yè)科學(xué)院農(nóng)業(yè)信息研究所;國(guó)家科技基礎(chǔ)條件平臺(tái)中心;
【基金】：中國(guó)農(nóng)業(yè)科學(xué)院科技創(chuàng)新工程項(xiàng)目(編號(hào):CAAS-ASTIP-2016-AII)資助
【分類號(hào)】：G353.1
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本文編號(hào)：1964425