A method for detecting irrelevant information in service-oriented corporate systems on the example of soil quality assessment systems
Andrey Melnik, Nikolay Divak, Roman PasichnykThe article considers an important scientific and applied task of developing a method for detecting irrelevant information, which is an actual direction of development and implementation of web-oriented information systems. The article analyses modern methods and means of assessment of irrelevant and unreliable information in service-oriented corporate systems and identifies main problem areas that arise in the course of their functioning. A method of data filtering based on a metric for assessing the relevance of information has been developed. An example of applying the metric to evaluate the results of using various soil and groundwater quality analysis services is given. The main results of the research presented in the article are: a metric for assessing the relevance of information obtained using services in corporate information systems; a method for filtering data based on the metric for assessing the relevance of information within the studied subject area. The peculiarity of the developed method is that it can be implemented as a software add-on to service-oriented information systems. The use of the proposed intelligent methods for processing data obtained using services will increase the efficiency of analysing irrelevant information and reduce the time required to identify irrelevant sources of information