PoolParty team has released a brandnew version of its knowledge discoverer to showcase the power of knowledge models in combination with linked data and text mining.
First of all: PoolParty Knowledge Discoverer is more about collecting context information about documents which deal with domain-specific ‘things’ like persons, places, companies etc. than a search engine in a ‘classical’ sense.
Don´t expect to find a pizzeria in your neighbourhood with this kind of tool. If you want to build a similar tool like this, take a look at the PoolParty product family.
How does it work?
Provide some text either by
typing your topic or
by retrieving text from a URL or
by entering a text directly into the editor
PoolParty will analyse your text.
Now you will get smart recommendations and context information:
The tool is a blueprint for many use cases in different sectors, here are some examples:
find relations between open positions and applicants in your recruiting database
find those pieces of your technical documentation which are related to a concrete description of a customer´s problem
save time when analysing new markets by collecting and linking information about your target market from different databases
Interested? Wanna see how this could work in established platforms like Confluence? Come to Atlassian Summit or SemTechBiz (both to be held in San Francisco) next week and visit us at the PoolParty booth!