A methodology for creating user views in database design
ACM Transactions on Database Systems (TODS)
A system for the semiautomatic generation of E-R models from natural language specifications
Data & Knowledge Engineering
Acquisition of terminological knowledge using database design techniques
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
CM-Builder: A Natural Language-Based CASE Tool for Object-Oriented Analysis
Automated Software Engineering
Transformation of Requirement Specifications Expressed in Natural Language into an EER Model
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Message Understanding Conference-6: a brief history
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Implementing database access control policy from unconstrained natural language text
Proceedings of the 2013 International Conference on Software Engineering
Detection of naming convention violations in process models for different languages
Decision Support Systems
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This paper presents the use of heuristics gained from the syntactic and semantic knowledge for the creation of database design in terms of the Entity-Relationship(ER) model through natural language processing. The application of both syntactic and semantic heuristics is used as the strategy to obtain the relevant ER elements such as entities, attributes and relationships from the specifications. Results on the use of the semantic heuristics show that these may help to further improve the results in the automatic detection of the ER elements.