本文選題：本體構(gòu)建 + 形式概念分析法　； 參考：《情報科學(xué)》2017年05期

【摘要】：【目的/意義】面對海量非結(jié)構(gòu)化的數(shù)據(jù),如何快速準(zhǔn)確地檢索到目標(biāo)信息,實現(xiàn)相關(guān)信息的自動關(guān)聯(lián),是語義檢索和智能推薦的研究重點�！痉椒�/過程】為解決該問題,提出了一種基于本體的JESS推理模型。以目前常用的形式概念分析法(FCA)(應(yīng)用于知識采集)及描述邏輯(應(yīng)用于知識表達)為基礎(chǔ)進行相關(guān)術(shù)語和概念的抽取,探討兩者在使用過程中的問題及不協(xié)調(diào)處,并提出改進方式。在基于LCS原則上,探索新增概念及上下級關(guān)聯(lián)架構(gòu)。然后利用本體建模工具protégé構(gòu)建領(lǐng)域本體,建立基于推理引擎JESS的檢索查詢系統(tǒng),進行檢索�！窘Y(jié)果/結(jié)論】實證研究表明,該本體模型支持基于語義推理的智能查詢,并能提高查全率及查準(zhǔn)率。
[Abstract]:[objective / significance] in the face of massive unstructured data, how to retrieve target information quickly and accurately and realize the automatic association of related information is the research focus of semantic retrieval and intelligent recommendation. [method / process] to solve this problem, A Jess reasoning model based on ontology is proposed. Based on the commonly used formal conceptual analysis method (FCAA) and description logic (applied to knowledge representation), the relevant terms and concepts are extracted, and the problems and incongruities between the two methods are discussed. And put forward the way of improvement. Based on the LCS principle, this paper explores the new concept and the upper and lower level relational architecture. Then the domain ontology is constructed by using ontology modeling tool prot 茅 g 茅, and the retrieval query system based on Jess is built. [results / conclusions] empirical research shows that the ontology model supports intelligent query based on semantic reasoning. And can improve the recall and precision.
【作者單位】： 華中師范大學(xué)信息管理學(xué)院;
【基金】：國家社會科學(xué)基金重大項目(13&ZD183);國家社會科學(xué)基金青年項目(15CTQ007)
【分類號】：G252.7
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本文編號：2016797