A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
CLASSIC: a structural data model for objects
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
On taxonomic reasoning in conceptual design
ACM Transactions on Database Systems (TODS)
The complexity of concept languages
Information and Computation
The functional data model and the data languages DAPLEX
ACM Transactions on Database Systems (TODS)
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Information Integration: Conceptual Modeling and Reasoning Support
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
Semantic and schematic similarities between database objects: a context-based approach
The VLDB Journal — The International Journal on Very Large Data Bases
Source Integration in Data Warehousing
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Inheritance processing and conflicts in structural generalization hierarchies
ACM Computing Surveys (CSUR)
Peer-to-peer form based web information systems
ADC '06 Proceedings of the 17th Australasian Database Conference - Volume 49
On the relationship between workflow models and document types
Information Systems
Tagomizer: subject maps meet social bookmarking
TMRA'06 Proceedings of the 2nd international conference on Topic maps research and applications
| Hi-index | 0.00 |
Form documents or screen forms bring essential information on the data manipulated by an organization. They can be considered as different but often overlapping views of its whole data. This paper presents a non-destructive approach of their integration. The main idea of our approach is to keep the original views intact and to specify constraints between overlapping structures. For reasoning over constraints, we provide a set of inference rules that allows not only to infer implied constraints but also to detect conflicts. These reasoning rules are proved to be sound and complete. Although the form-based views are hierarchical structures, our constraints and reasoning rules can also be used in non-hierarchical data models.