An approach to integrated office document processing and management
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
COCS '95 Proceedings of conference on Organizational computing systems
Opossum: a flexible schema visulaization and editing tool
CHI '94 Conference Companion on Human Factors in Computing Systems
FileNet integrated document management database usage and issues
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Extending document management systems with user-specific active properties
ACM Transactions on Information Systems (TOIS)
OPOSSUM: Desk-Top Schema Management through Customizable Visualization
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Document Image Layout Comparison and Classification
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
A Document Classification and Extraction System with Learning Ability
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
User-directed analysis of scanned images
Proceedings of the 2003 ACM symposium on Document engineering
Exploiting XML technologies for intelligent document routing
Proceedings of the 2005 ACM symposium on Document engineering
Eclipse modeling framework for document management
Proceedings of the 2005 ACM symposium on Document engineering
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
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Document analysis research typically focuses on document image understanding or classic problems in text classification, clustering, summarization and discovery. While that is an important aspect of document management, in practice, documents lifecycles are often determined by the context of the business process that they are relevant to. It therefore becomes necessary for the document analysis techniques to recognize and leverage the contextual information provided by a supporting schema and business process. This paper presents an intelligent document management framework with relevant document analysis, metadata extraction, and business process association algorithms and methodology. The architecture supporting this framework seamlessly integrates a runtime environment with an authoring environment by combining relational data modeling tools with document classification techniques. The runtime environment accepts incoming documents, classifies the document, extracts metadata and executes customized business logic. The authoring environment supports the association of a class of documents with a relational document schema, identification of attribute values that must be extracted automatically, generation of relevant business logic, and deployment of authoring artifacts into the runtime architecture. We demonstrate the use of this framework with representative real-world document transformative applications.