k keyword 中文意思是什麼
k keyword
解釋
關鍵字-
The research of this paper is spread out mainly around 5 aspects : ( 1 ) the description of xmarc information theory system based on xml under network environment ; ( 2 ) the advanced design of field xmarc metadata ; ( 3 ) the foundation of k - s - c special knowledge relation by the identification " keyword + subject + category " ; ( 4 ) the establishment of xmarc theme knowledge automatic indexing and its algorithms ; ( 5 ) the research on knowledge processing method of concept retrieval and the theme classification based on xmarc
本文主要的工作是圍繞五個方面展開的：建立網路環境下基於xml的xmarc信息描述理論體系，比較設計領域的xmarc元數據，構建以「關鍵詞+主題詞+范疇號」標識的知識關系k - s - c （ keyword - subject - category ） ，建立xmarc主題知識的標引方摘要法及其演算法，提出xmarc主題知識的分類與詞句概念檢索方法。 -
In this paper, a new approach clascn classification, learning and selection of candidate network is developed to efficiently perform top - k keyword queries in schema - graph - based online ksord systems
關系數據庫關鍵詞檢索已有很多原型系統出現，這些系統按照查詢處理機制可以分為離線系統和在線系統兩種。 -
Clascn : candidate network selection for efficient top - k keyword queries over databases
Clascn :支持高效數據庫關鍵詞top - k查詢的候選網路選擇方法 -
In this approach, the candidate networks from trained keyword queries or executed user queries are classified and stored in the databases, and top - k results from the cns are learned for constructing cn language models cnlms. the cnlms are used to compute the similarity scores between a new user query and the cns from the query. the cns with relatively large similarity score, which are the most promising ones to produce top - k results, will be selected and performed
基於模式圖的在線系統執行機制是，用戶提交關鍵詞查詢后，系統利用數據庫全文檢索引擎為每個具有文本屬性的關系生成包含關鍵詞的元組集，這些元組集與數據庫模式圖相結合，形成元組集圖，然後對元組集圖做寬度優先搜索，生成候選網路candidate network 。
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