Information supply for business processes: coupling workflow with document analysis and information retrieval

被引:47
作者
Abecker, A [1 ]
Bernardi, A [1 ]
Maus, H [1 ]
Sintek, M [1 ]
Wenzel, C [1 ]
机构
[1] German Res Ctr Artificial Intelligence DFKI GMBH, D-67608 Kaiserslautern, Germany
关键词
knowledge management; document analysis; workflow;
D O I
10.1016/S0950-7051(00)00087-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Explicit modeling of business processes and their enactment in workflow systems have proved to be valuable in increasing the efficiency of work in organizations. We argue that enacted business processes - i.e. workflow management systems - form a solid basis for adequate information support in complex and knowledge-intensive business processes. To support this claim we demonstrate results from two different projects. The Virtual Office approach employs workflow-context information to support high-precision document analysis and understanding in standard office settings; the combination of workflow context and document analysis allows for the automatic handling of incoming paper mail with respect to the appropriate workflows. The KnowMore approach focuses on the support of people who work on knowledge-intensive tasks by automatic delivery of relevant and goal-specific information. To this end, workflow context, an extended process model, and a detailed modeling of information sources are combined. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:271 / 284
页数:14
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