Hello all, there is the open sources (Aache 2.0 license) FREME framework https://freme-project.github.io which allows various NLP tasks using mostly HTTP POST. The tasks include named entity enrichment, terminology annotation, machine translation and enrichment with open linked data sources. The output of the NLP workflows can be configured from the internal (RDF) structure to CSV, XML etc., see https://freme-project.github.io/knowledge-base/freme-for-api-users/filtering.html
I contributed to the development of the framework, if you have further questions feel free to ping me. Regards, Felix On Thu, Jun 1, 2017 at 12:38 PM, Geert Josten <[email protected]> wrote: > Hi Pavan, > > To my knowledge, most of these do pretty straight-forward HTTP calls, > which should work for other public enrichment sites as well. Doing an HTTP > call using xdmp:http-get or xdmp:http-post is for sure the easiest way to > integrate, and should work well from inside a pipeline action.. > > Kind regards, > Geert > > From: <[email protected]> on behalf of GUPTA Pavan < > [email protected]> > Reply-To: MarkLogic Developer Discussion <[email protected]> > Date: Thursday, June 1, 2017 at 7:52 AM > To: "[email protected]" <[email protected]> > Cc: SHARMA Archana <[email protected]> > Subject: [MarkLogic Dev General] Help :- Ingested document enrichment > > Hi Team, > > > > I am able to search the binary document after the CPF set up but I want to > enhance the search capability so I thought to use the Enrichment Pipelines > which are available in MarkLogic. I could find five pipelines below, > > > > I. TEMIS Luxid(R) Entity Enrichment Pipeline > > II. Calais Entity Enrichment Pipeline > > III. SRA NetOwl Entity Enrichment Pipeline > > IV. Janya Entity Enrichment Pipeline > > V. Data Harmony Enrichment Pipeline. > > > > I have explored these and found that none is open source. I am interested > in enrichment of ingested document in the same way as above pipelines does. > > > > Can you please suggest the way for the same or how I can integrate the > open source NLPs or Machine learning libraries. > > > > Thanks in Advance! > > > > Regards, > > Pavan > > _______________________________________________ > General mailing list > [email protected] > Manage your subscription at: > http://developer.marklogic.com/mailman/listinfo/general > >
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