Keyword Search Engine Enriched by Expert System Features
Olegs Verhodubs

TL;DR
This paper proposes enhancing keyword search engines with expert system features to create more intelligent and effective search tools for large information spaces like the Web.
Contribution
It introduces a novel approach to integrate expert system features into keyword search engines to improve their intelligence and performance.
Findings
Enhanced search accuracy with expert system integration
Improved relevance of search results
Framework for developing intelligent keyword search engines
Abstract
Keyword search engines are essential elements of large information spaces. The largest information space is the Web, and keyword search engines play crucial role there. The advent of keyword search engines has provided a quantum leap in the development of the Web. Since then, the Web has continued to evolve, and keyword search systems have proven inadequate. A new quantum leap in the development of keyword search engines is needed. This quantum leap can be provided with more intellectual keyword search engines. The increased intelligence of such keyword search engines can be achieved through a combination of keyword search engines and expert systems. The paper reveals how it can be done.
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Taxonomy
TopicsData Management and Algorithms · AI-based Problem Solving and Planning · Advanced Computational Techniques and Applications
