Discovery and Support of Problem-Solving Knowledge in e-Business

Employees generally need to solve various situations of problems occurred during task-executions in e-business. Such problem-solving behaviors contain rich information helpful to provide effective knowledge support. This work proposes a mining framework to discover problem-solving knowledge by analyzing problem-solving behaviors recorded in an intranet portal log file. The discovered knowledge can provide guidance and support to assist employees handle various situations of problems

A Collaborative Relevance Feedback Approach to Task-driven Recommendation

Abstract Managing knowledge is an important issue for organizations to gai

Process-Aware Knowledge Retrieval

Even with modern information retrieval systems and advanced digital libraries, many people cannot find the information they need when they need it. There are many reasons why information access is difficult: users cannot track all the available information sources, few computer users are skilled in composing queries and "everyday" applications (e.g., word processors and spreadsheets) are not integrated with information access tools, are just a few of the problems. Too often, users who do search for needed information pose short, simple queries that retrieve hundreds or thousands of documents. Many information access strategies fail because they are not proactive, context-sensitive or task-specific. Process-aware retrieval, however, offers a framework that shifts the burden of information access from the user to the computer. By explicitly representing processes, and information about processes, process-aware retrieval enables the computer to make highly targeted suggestions regarding knowledge and information sources, while aiding in the completion of process steps. This papers reviews current strategies for information access, evaluating strengths and weaknesses, and then defines a process-aware framework that builds on the strengths to address the weaknesses