Designing a model of a decision support system based on a multi-aspect factographic search
A theoretical-multiple model, describing the composition and structure of a decision support system was proposed. The system operates based on a multi-aspect factographic search using simple methods of precedents detection, concerning different aspects of the problem to be solved. The information technology of a multi-aspect factographic search was proposed. The technology allows us, on the basis of a primary query, to generate a query group in accordance with the aspects of the solved problem. In this case, subsets of aspect-relevant documents are separated. In each document, aspect-relevant precedents are found. Then, the redundancy in search results is eliminated. Effectiveness of the technology is ensured by two factors. This is the generation of a package of secondary queries on certain aspects, as well as sufficient completeness of a sample of documents for analysis. In addition, filtering of the content of each document on particular aspects allows guaranteed and even redundant detection of precedents, containing the facts that are required by the user. Redundancy of the search results is eliminated by the threshold processing of found textual fragments and by using importance weight factors of aspects. The system minimizes actions of the user who does not need to generate multiple queries and take care of solving multi-aspect problems. The information technology was tested on the example of a marketing task. Satisfactory assessment of completeness of search results was obtained both by aspects and, on average, by a task.