Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Websom for Textual Data Mining
Artificial Intelligence Review - Special issue on data mining on the Internet
The information-seeking practices of engineers: searching for documents as well as for people
Information Processing and Management: an International Journal
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Self-Organizing Maps
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Time, tense and aspect in natural language database interfaces
Natural Language Engineering
Hybrid Neural Document Clustering Using Guided Self-Organization and WordNet
IEEE Intelligent Systems
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Integrating all stages of information systems development by means of natural language processing
REFSQ'07 Proceedings of the 13th international working conference on Requirements engineering: foundation for software quality
Natural language processing neural network for recall and inference
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
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Self-organizing map can be an effective tool for the textual data classification. In this paper, we represent the methodology of an integration of the information system modeling and the development of the information system natural language interface. The main idea of the paper is to build the set of self-organising maps from information system documentation and then reuse it in human-machine communication as a semantic parsing component. The IBM's Information Framework (IFW) Financial Services Data Model has been used in an experiment where we tested how appropriate is presented methodology and what is classification accuracy of the received self-organizing maps. We compare classification accuracy with the IBM's WebSphere Voice Server NLU solution and demonstrate that self-organising maps can be a competitive components in the information systems natural language interfaces.