Tsert-ENet©®
provides
an easy method of building a semantic network Tsert-ENet
©®,
into your own search-engine.
A semantic or association network is a network made of words and their
associations,
an association being the link/edge between words/vertices/nodes, which
has an attached weight or priority.
These associations are typed
based on
their
category e.g. Sponsor, Thesaurus, Semantic, Synonym,
etc.
If you are building your own web search engine you will obviously give
the highest weight
to the Sponsor type of associations, keywords chosen
and paid for by companies to display their websites.
Examples of
associations are:
| Keyword |
Category |
Association |
| Search |
Sponsor |
Tsert Inc. |
| Restaurant |
Thesaurus |
Eatery |
| Restaurant |
Semantic |
Food |
| Knife |
Semantic |
Cut |
| Car |
Isa |
Vehicle |
Tsert-ENetKit
is our C/C++/Java toolkit that
allows a developer to
easily and quickly build a semantic network. The developer is assumed
to have
the list of keywords to add to the network.
Tsert-ENetKit can also be used to build
knowledge bases used in expert systems,
by replacing the inference rules, such as ISA rules, with a Tsert-ENet
network which can then be traversed with the help of functions provided
in our toolkit. The knowledge captured by the inference rules is simply
transferred to the network.
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