An automatic load/extract scheme for XML documents through object-relational repositories
Journal of Systems and Software
A Document-driven Approach to Database Report Generation
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Answerer: A Design Pattern for Dynamical Conditional Execution
TOOLS '99 Proceedings of the Technology of Object-Oriented Languages and Systems
Storing Java Objects in Any Database
TOOLS '99 Proceedings of the Technology of Object-Oriented Languages and Systems
Scan-to-XML: Automatic Generation of Browsable Technical Documents
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Working Documents Automatic Generation Using an Adaptive Editor
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
A Reflective Implementation of Java Multi-Methods
IEEE Transactions on Software Engineering
YAG: a template-based generator for real-time systems
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
Automatic generation of document semantics for the e-science knowledge grid
Journal of Systems and Software - Special issue: Selected papers from the 11th Asia Pacific software engineering conference (APSEC 2004)
Evaluating an Automated Tool to Assist Evolutionary Document Generation
VLHCC '07 Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing
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Complex business models in large-scale enterprises deal with voluminous knowledge based on which most decisive official and technical documents are generated. Nowadays, template processors are available for generating such documents. However, the existing template processors are either labor intensive or complicated to suit well-established business model and knowledge repositories in a heterogeneous environment. Hence, a novel generalized adaptable and flexible template processor that utilizes the existing resources without modifying the business model is proposed. The tacit business intelligence defined as rules, knowledge repositories and document structure are the nodal agents of this approach. Further, an XML based Object Query Definition Markup Language for rule definition is newly suggested. The rules are reorganized into hierarchical DAG structured rules using a transformation algorithm and traversed using hybrid traversal. The required output document is represented through a template. Object wrappers act as the communicating agent between diversified datasets and the templates. The proposed architecture is modeled and implemented using set theory. It is experimented in a web-based distributed environment using JAVA and tested using a real world dataset of a large-scale engineering enterprise. The results demonstrate its adaptability and extensibility to any multi-organizational structure.