Knowledge Domains and Virtual Partners
We have defined a number of knowlegde domains like informatietechnologie and have assigned a
virtual partner to each knowledge domains, making the underlying corpuses accessible to the
virtual partner and using a chatbot to the visitor.
Building a website specific corpus
We will crawl the website, we determine the region of origin and language and assign the content
to a corpus that will be assigned a knowledge domain.
Extracting knowledge
Represented by virtual discussion partners and chatbots semanta is capable of extracting
knowledge from unstructured resources.
Grammatical and Semantic results
When semanta has finished the grammatical segmentation the individual wordforms are known.
For example mvd=plural so smta generates the question
how many boeken are there.
When
wwd=verb is found what action is initiated by boeken
.
Summary webbased knowledge
Corpuses and textfiles stored on the Lingvistica servers
Locally stored knowledge
Locally stored knowledge are local textfiles that are stored on your local computer. Semanta
analyzes a locally selected files of up to 30 KB at a rate of 5KB per second.
Genericly process knowledge
