A New Digital Paper Search Paradigm Based on FCA,ERICDATA高等教育知識庫
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篇名
A New Digital Paper Search Paradigm Based on FCA
並列篇名
A New Digital Paper Search Paradigm Based on FCA
作者 Haibin YuChongyang ShiBai YuChunxia ZhangRyan Hearne
英文摘要
This paper proposes a new digital paper search paradigm that controls the diversity of keyword-based search query topics based on Formal Concept Analysis (FCA). During pre-querying, papers are assigned to pre-specified, lattice-based context patterns built by a selected partial dataset, and query-independent lattice context scores are attached to papers with respect to the assigned lattice contexts. When a query is executed, the relevant lattice contexts are selected, a search is performed within the selected lattice contexts, the context scores of the papers are revised to become relevancy scores with respect to the query and the lattice context they are in, and the query outputs are ranked within each relevant lattice context. In this way, we (1) provide FCA with a path to deal with middling or larger amounts of documents, (2) minimize query output topic diversity and reduce query output size, (3) decrease the user’s time spent scanning query results, and (4) increase query output ranking accuracy. Using China National Knowledge Infrastructure (CNKI) publications as the testbed, our experiments indicate that the proposed lattice context-based search approach produces search results with up to 50% higher precision, and reduces the query output size by up to 60% more than a CNKI search.
起訖頁 1099-1110
關鍵詞 Paper retrievalFormal concept analysisConcept latticeQuery context
刊名 網際網路技術學刊  
期數 201807 (19:4期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642018081904013   複製DOI
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