Scientific Research & Self-Development Activism
This paper is an introduction to the main paper Fuzzy Semantic Analysis. It still has a few errors and is still a work in progress.
With the invention of Fuzzy Logic and Possibility Theory a more practical approach to
NLP based IR systems retrofitted with conventional search engines is indeed plausible. These
powerful tools allow for low cost approximations involving highly dynamic and complex systems
such as the World Wide Web. They also open a gateway to the Natural Language Processing
forefront of Information Retrieval. Through such methods semantic analysis is feasible at low
cost and can potentially yield increases in recall and precision while decreasing overload and
SEARCH ENGINES: An Introduction to Fuzzy Semantic Analysis https://docs.google.com/document/d/1aNUUCC_Ed7wvl9ugqbANsmVWQaATbKA...
just skimmed over it - will prob. read it in detail after the exams.
Isn't google allready doing stuff like that? (- In the End the language tools where established because of that ?!?)
No language tools just translate one language into another. Google's main algorithm is actually a secret supposedly including over a hundred variables. So how they magically do the trick is widely unknown but I believe google has right
out said they do not use NLP.
Maybe not directly but I think you would wonder :) [ http://research.google.com/pubs/papers.html ]
and then there is wolfram
nevertheless - next comment will be after some reading :)