This document discusses the key components of an RSS news aggregator project including the motivations, objectives, technical framework, and issues with existing keyword-based search approaches. It outlines the proposed solution of using concept maps and ontologies to represent news semantics and allow retrieval based on partial meaning matching rather than exact keyword matching. Details are provided on collecting news from RSS feeds, representing it based on user-submitted keywords, eliminating duplicates, and enabling semantic search through correlation computation between concept vectors.