Document engineering

Abstract: A computer-based electronic document and/or paper-based document management application program. The program provides an efficient way to automatically import, index, categorize, store, search, retrieve, manipulate and archive electronic documents. The program is also capable of managing documents regardless of document type or document format.

Abstract: This paper presents a novel editor supporting interactive refinement in the development of structured documents. The user performs a sequence of editing operations on the document view, and the editor automatically derives an efficient and reliable document source and a transformation that produces the document view. The editor is unique in its programmability, in the sense that the transformation can be obtained through editing operations. The main tricks behind are the utilization of the view-updating technique developed in the database community, and a new bidirectional transformation language that cannot only describe the relationship between the document source and its view, but also data dependency in the view.

Abstract: During the past decade, data warehousing has been widely adopted in the business community. It provides multi-dimensional analyses on cumulated historical business data for helping contemporary administrative decision-making. Nevertheless, it is believed that only about 20% information can be extracted from data warehouses concerning numeric data only, the other 80% information is hidden in non-numeric data or even in documents. Therefore, many researchers now advocate that it is time to conduct research work on document warehousing to capture complete business intelligence. Document warehouses, unlike traditional document management systems, include extensive semantic information about documents, cross-document feature relations, and document grouping or clustering to provide a more accurate and more efficient access to text-oriented business intelligence. In this paper, we discuss the basic concept of document warehousing and present its formal definitions. Then, we propose a general system framework and elaborate some useful applications to illustrate the importance of document warehousing. The work is essential for establishing an infrastructure to help combine text processing with numeric OLAP processing technologies. The combination of data warehousing and document warehousing will be one of the most important kernels of knowledge management and customer relationship management applications.