完整後設資料紀錄
DC 欄位語言
dc.contributor.authorLiu, Duen-Renen_US
dc.contributor.authorWu, I-Chinen_US
dc.date.accessioned2014-12-08T15:12:46Z-
dc.date.available2014-12-08T15:12:46Z-
dc.date.issued2008-01-01en_US
dc.identifier.issn0167-9236en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.dss.2007.06.015en_US
dc.identifier.urihttp://hdl.handle.net/11536/9830-
dc.description.abstractThe operations and management activities of enterprises are mainly task-based and knowledge intensive. Accordingly, an important issue in deploying knowledge management systems is the provision of task-relevant information (codified knowledge) to meet the information needs of knowledge workers during the execution of a task. Codified knowledge extracted from previously executed tasks can provide valuable knowledge about conducting the task-at-hand (current task), and is a valuable information source for constructing a task profile that models a worker's task needs, i.e., information needs for the current task. In this paper, we propose a novel task-relevance assessment approach that evaluates the relevance of previous tasks in order to construct a task profile for the current task. The approach helps knowledge workers assess the relevance of previous tasks through linguistic evaluation and the collaboration of knowledge workers. In addition, applying relevance assessment to a large number of tasks may create an excessive burden for workers. Thus, we propose a novel two-phase relevance assessment method to help workers conduct relevance assessment effectively. Furthermore, a modified relevance feedback technique, which is integrated with the task-relevance assessment method, is employed to derive the task profile for the task-at-hand. Consequently, task-based knowledge support can be enabled to provide knowledge workers with task-relevant information based on task profiles. Empirical experiments demonstrate that the proposed approach models workers' task-needs effectively and helps provide task-relevant knowledge. (C) 2007 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectinformation retrievalen_US
dc.subjectknowledge managementen_US
dc.subjectrelevance assessmenten_US
dc.subjecttask-based knowledge supporten_US
dc.subjecttask profileen_US
dc.titleCollaborative relevance assessment for task-based knowledge supporten_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.dss.2007.06.015en_US
dc.identifier.journalDECISION SUPPORT SYSTEMSen_US
dc.citation.volume44en_US
dc.citation.issue2en_US
dc.citation.spage524en_US
dc.citation.epage543en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000252651400011-
dc.citation.woscount14-
顯示於類別:期刊論文


文件中的檔案:

  1. 000252651400011.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。