Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Understanding corporate data models
Information and Management
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
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
Market research for requirements analysis using linguistic tools
Requirements Engineering
Multi-Alignment Templates Induction
Informatica
Natural language processing and the conceptual model self-organizing map
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
The state of the art in automated requirements elicitation
Information and Software Technology
| Hi-index | 0.00 |
In this paper, we present the methodology and architecture of the natural language processing integration into all stages of the information systems development. We show that if the IS textual documentation is preprocessed and integrated into the business knowledge base development then the whole information systems modeling process can be speeded and improved. Self-organizing map received from information systems documentation and the formal concept analysis are suggested to test the IS documentation comprehensibility and reusability. IBM's Information Framework (IFW) Financial Services Data Model (FSDM) has been used for the present research. By using FSDM we demonstrate that the IS model can be partially recreated from IS textual documents by combining techniques based on self-organizing map and formal concept analysis. Finally the numerical experiment is provided to show that IS documents supplemented with the suggested techniques can be reused in natural language interfaces and save the resources and time needed to develop such interfaces.