Semantic hypertext indexes ideas, not vocabulary ================================================ Linguistic versus Here's the problem with taxonomies constructed from word semantic hypertext lists -- the index was probably built by marking key ================== words. This approach only indexes words and not the ideas contained in an information system. "Good" hypertext should : 旼컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴� � - index ideas � � - require a minimum of keystrokes to reach any idea � � - show relationships between all ideas � 읕컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴� How do you I doubt many college graduates ever learned how to index ideas? systematically find and index all the ideas within a ============ article, book, author, situation, or period. Yet, the indexing of ideas and relationships is perhaps the fastest way to subject mastery. Here's how I do it. I critically read the material looking for these concepts: (more) 旼컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴� Types of ideas � Objects -- look for nouns (and adjectives) � ============== � Actions -- look for verbs (and adverbs) � � Events -- look for time and place � � Relationships -- look for connectives � � Abstractions -- look for intangible nouns � 읕컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴컴� Collect ideas, Once I've identified all the ideas within my material, then convert list I use this information to construct my "semantic" to a hierarchy taxonomy . This is the foundation creating a ============== useful system of knowledge .