Supporting Information Systems Analysis Through Conceptual Model Query – The Diagramed Model Query Language (DMQL)

Natural Language Query Filtration in the Conceptual Query Language

Natural language (NL) interfaces for DB query formulation have always been recognized as a much needed enhancement for end-users. Poor performances with earlier NL systems had led to a lull in research in this field. However, latter-day experiments and systems appear to be sufficiently more promising to warrant continued and further research in this area. This study proposes an experimental que...

A Geometrically Enhanced Conceptual Model and Query Language

Motivated by our experiences with spatial modelling for the sustainable land use initiative we present a geometrically enhanced ER model (GERM), which preserves the key principles of entity-relationship modelling and at the same time introduces bulk constructors and geometric features. The model distinguishes between a syntactic level of types and an explicit internal level, in which types give...

DMQL: A Data Mining Query Language for Relational Databases

The emerging data mining tools and systems lead naturally to the demand of a powerful data mining query language, on top of which many interactive and exible graphical user interfaces can be developed. This motivates us to design a data mining query language, DMQL, for mining di erent kinds of knowledge in relational databases. Portions of the proposed DMQL language have been implemented in our...

DMQL: A Data Mining Query Language for Relational Databases

Language Model Based Query Classification

In this paper we propose a new way of using language models in query classification for question answering systems. We used a Bayes classifier as classification paradigm. Experimental results show that our approach outperforms current classification methods like Naive Bayes and SVM.