LocalContent: A personal scientific document retrieval system

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題名:	LocalContent: A personal scientific document retrieval system
作者:	柯士文;Tsai, Chih-Fong;Ke, Shih-Wen;McGarry, Kenneth;Lin, Ming-Yi
貢獻者:	管理學院資訊管理學系
關鍵詞:	College students;Computers;Design engineering;Digital libraries;Electronic Libraries;Extraction;Feature extraction;Graduate students;Hierarchies;Human-computer interaction;Indexing;Information management;Information Retrieval;Information storage and retrieval systems;Language Processing;Librarianship/library management;Library & information science;Library technology;Literature Reviews;Natural language processing;Organizational structure;Personal archives;Personal documents;Personal information;Privacy;Query processing;Retrieval;Retrieval performance measures;Searching;Specification;Storage;Studies;User interface;User satisfaction
日期:	2015-01-01
上傳時間:	2026-04-23 13:46:03 (UTC+8)
出版者:	Emerald Group Publishing Ltd.;Oxford: Emerald Group Publishing Limited
摘要:	摘要： Purpose – The purpose of this paper is to introduce a novel personal scientific document retrieval system. The most common approach taken for the storage of personal documents is to construct a hierarchical folder structure. Most users prefer searching for documents by manually traversing their organizational hierarchy until reaching the location where the target item is stored, then locating the specific documents within its directory or folder. However, this is very time-consuming, especially when the number of personal scientific documents is very large. Unfortunately, related personal information management (PIM) systems, which provide solutions for managing various types of personal information, have thus far made little progress at managing personal scientific documents. Design/methodology/approach – In this paper, we introduce the design of a personal scientific document retrieval system, namely, LocalContent. It is composed of database indexing and retrieval stages. During indexing, term feature extraction from scientific documents is performed by the natural language processing technique. The extracted terms are stored in the inverted index for later retrieval. For retrieval, a graphical user interface is provided by LocalContent, which allows users to search their personal scientific documents. Findings – The evaluation results based on 20 different personal archives taken from 20 graduate students show that LocalContent is simple to use and can facilitate the search for relevant scientific documents. Moreover, these users were willing to have a system which provides specialized search functions like LocalContent to explore their personal scientific documents in the future. Originality/value – LocalContent is a novel scientific document retrieval system and provides several particular functions of LocalContent including displaying the content summary of the query term frequency in each specific section of the retrieved documents, querying by local section specification and providing a number of recommended keywords related to the query terms. 出版者： Oxford: Emerald Group Publishing Limited 出版日期： 2015-01-01 出處： Electronic library, 2015-01, Vol.33 (3), p.373-385 版權： Emerald Group Publishing Limited 版權： Emerald Group Publishing Limited 2015 識別號： ISSN: 0264-0473 識別號： EISSN: 1758-616X 識別號： DOI: 10.1108/EL-08-2013-0148
顯示於類別:	[資訊管理學系] 期刊論文

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