Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
The semantic data model: a modelling mechanism for data base applications
SIGMOD '78 Proceedings of the 1978 ACM SIGMOD international conference on management of data
Understanding Natural Language
Understanding Natural Language
Representation and Understanding: Studies in Cognitive Science
Representation and Understanding: Studies in Cognitive Science
Semantics modeling issues for processing natural language database queries
CSC '90 Proceedings of the 1990 ACM annual conference on Cooperation
Designing a Portable Natural Language Database Query System
ACM Transactions on Database Systems (TODS)
An interactive database end user facility for the definition and manipulation of forms
SIGIR '84 Proceedings of the 7th annual international ACM SIGIR conference on Research and development in information retrieval
Innovations in Natural Language Document Processing for Requirements Engineering
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Problems and possibilities for near term natural language query systems are discussed, with emphasis on the author's own system, EQS. First, the general objectives for near term systems in the areas of syntax, world knowledge, discourse, and problem solving are considered. Next, a comparison is made between the ATN parsing strategies in LADDER, ROBOT, PLANES, and EQS. Evidence for the importance of giving answers to queries not directly available in the data base is given together with some speculation on how the knowledge necessary for this might be acquired. After some general discussion of semantic data models, the semantic data model used in EQS is described, and the method used for building a semantic data model of an existing CODASYL data base is sketched. Lastly, the use of Multiple levels of representation as a way to control complexity of such query systems is discussed.