Hi Geert, I am not really sure on this. However, I am interested in enhancing the search capability for the documents being ingested and to make the search more intelligent. I have looked online for the solutions but have not been quite convinced. Please help me in case you have a better insight on the same.
Thanks in advance for your help! Regards, Pavan From: [email protected] [mailto:[email protected]] On Behalf Of Geert Josten Sent: Thursday, June 01, 2017 4:08 PM To: MarkLogic Developer Discussion Cc: SHARMA Archana Subject: Re: [MarkLogic Dev General] Help :- Ingested document enrichment 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]<mailto:[email protected]>> on behalf of GUPTA Pavan <[email protected]<mailto:[email protected]>> Reply-To: MarkLogic Developer Discussion <[email protected]<mailto:[email protected]>> Date: Thursday, June 1, 2017 at 7:52 AM To: "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>> Cc: SHARMA Archana <[email protected]<mailto:[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
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