Reproduce “Keyword Search Engine Enriched by Expert System Features” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Olegs Verhodubs
A conceptual framework is proposed for enhancing keyword search engines with expert system capabilities to overcome limitations in semantic understanding and reasoning. The framework aims to enable search systems to provide more relevant, insightful, and synthesized results by integrating components such as knowledge bases and inference engines.
Key insights
- Integrating expert system features can address limitations of traditional keyword search by enabling semantic understanding, reasoning, and information synthesis.
- A hybrid framework combining keyword search with expert system components like knowledge bases, inference engines, and semantic analyzers can provide more intelligent search results.
- Efficient rule compression and the use of ontologies (e.g., OWL) are crucial for scalability and performance in such an integrated system.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.