Abstract— Web mining is the application of data mining
technique to automatically discover and gathered information
from web documents and services which can be in structured,
unstructured or semi-structured form. It is used to understand
user behaviour, evaluate the effectiveness of a particular web
and find out the relevant and efficient results from the web.
Accuracy and relevance of information extracting from the
web is the most significant issue of concern for the realization
of web mining. The idea is to improve the accuracy and
relevance of information extracting from the web. This paper
proposes a novel model for improving the web mining, we
hypothesize that web mining is Semantic-Synaptic web mining.
Semantic-Synaptic web Mining interlinks the web of data to
different data sources at low entropy (Information Theory).
This paper combines the best ideas from the semantic web and
synaptic web at low entropy and constructs the architecture of
Semantic-Synaptic web mining.