Unique Concept of Human and Artificial Operating Synergy – UnChaos. [see: chaos theory]
“...Unlike
classical hypertext, the Web is constantly changing... the change on
the Web gives it an extra dimension – time – that can be
exploited by accessing old data stored by search engines...”
-- Ellen
Spertus, Mining Structural Information on the Web. Constant change,
1997.
Web dynamic as the web extra dimension.
There are
numerous efforts to describe the dynamic nature of the web, but most
of them do not sufficiently handle the web's sociological aspect, and
as a result they could not exploit the web dynamic as a measure of a
web page relevancy. Those insufficiencies stem from inability of
understanding of meant ideas by producing the extrinsic text
filtering only, in other words dealing with textual elements and not
with their meanings.
Considering
a web dynamic, first of all, we associate the web with a
semi-organized society and its history, or at its different periods
of being. In this light, a tracking history of web changes does not
only mean a tracking of modifications of web pages or web sites and
saving the recent ones, it is like tracking a human history with
weaving different episodes into a whole scenario using various types
of identifications, or names.
And like a human history, where some names play the major role in
highlighting of various events or even epochs, and some of them are
just secondary facts that were caused by those days events, at the
web can be seen the same picture, where some names are the
representative for a topic, or build its popularity, and some of them
became popular because of being considered at a popular topic.
Based on
the above we can define the web dynamic as verifying and
tracking a popularity of web topics and names, this means verifying
names, tracking number of their appearances (we call them as Name
Soft Links), and relating them to relevant topics.
However,
there are some obstacles to the exploitation of the web dynamic as a
measure of relevancy. The major one is enormous difference between
“old” names and “new” ones. For example a new
chip maker company, which increased appearance of their product name
on the web 10 times at the last decade, has relatively small amount
of this name appearances yet, while an old chip maker company has
relatively large number of their chip name appearances even after
decreasing. In order to improve this situation we define a name
progress tendency, which means taking into account the history of
changes of name appearances, with their increasing or decreasing
tendencies for a period of time, for estimating of web pages
relevancies.
Another
aspect of web dynamic is a popularity of its topics. A topic become
as more popular as more appearances of related to it names, on
different web sites, are met on the web. The same way, as was defined
a name progress tendency, is defined a web topic progress
tendency. In other words for a given period of time it is
verified an increasing or decreasing tendency of popularity of a
topic, it is done by estimating of a delta (difference) between
appearances of names related to a topic for a period of time. For
example, in the last decade we see an increasing tendency in
producing cellular phones, many companies decided to enter this
market, and as a result on the web appear a lot of new product names
which are related to cellular phones production topic. In other words
a cellular phones production topic on the web has a positive progress
tendency at the last decade. This measure can be used for ranking
topics related to a user search engine request.
© UnChaos Ltd.