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.Com |
| 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.