Distributed Knowledge Acquisition Basing on Integration of Data Mining and Text Mining Methods and Their Usage with AT-TECHNOLOGY Workbench

• Published in: 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) pp. 1 - 6
• Main Authors: Rybina, Galina V., Blokhin, Yury M., Sergienko, Elena S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2017
• Subjects: AT-TECHNOLOGY workbench; combined knowledge acquisition method; data mining; Expert systems; integrated expert systems; Knowledge acquisition; natural language processing; problem-oriented methodology; Software; Text mining
• DOI: 10.1109/FiCloudW.2017.77

The authors discuss the problem of distributed knowledge acquisition for the construction of complete and consistent knowledge bases in integrated expert systems, in particular dynamic integrated expert systems, via sharing of knowledge sources of different topologies (databases as electronic media, experts and problem-oriented texts). This work is focused on models and methods of distributed knowledge acquisition from databases as additional knowledge sources and automation of the process via intelligent program environment. It is discussed in context of dynamic integrated expert systems development, so the problem of temporal knowledge acquisition is also mentioned. Special standard design procedure for dynamic integrated expert system construction and for combined knowledge acquisition method is reviewed, which provides synchronization of knowledge acquisition processes in distributed variant. This procedure uses technologic knowledge base of intelligent planner of AT-TECHNOLOGY workbench and special program tools.