Looks interesting, but no info on what the 4000 classes are, is the ontology available?
DataBorg – Knowledge Management Simplified
41–47 of 47 posts
Re: DataBorg – Knowledge Management Simplified
#42The ”entity recognition” is absolutely useless. I tried it with a short text describing several entities and their relationships, yet it only spotted the word ”Users”. Not ”company”, not ”account”, not ”subscription”… not exactly impressed.
Named entity recognition is typically used to locate and classify named entities in text. So you'd want to have a text that mentions specific things - companies, people, locations, etc. Abstract things like "account" or "subscription" don't technically fall under "named entities" category.
So what good is the algorithm for knowledge management in IT if it cannot handle abstraction?
Re: DataBorg – Knowledge Management Simplified
#43Earlier quoted context omitted.
Dehumanizing terminology… This is not the kind of discussion that I like to see here. Again, not cool. People build proprietary closed source software using open source software. That’s not a new concept and completely ethical if one abides by the license and terms. If you don’t like their product, don’t use it, or go make your own.
"completely ethical if one abides by the license and terms." They aren't.
Since CC licenses are so rare in software I never analized how the By, Nc and Sa clauses interact with SaaS.
I'll have a read, but even if Sa copyleft does not apply (might be more like GPL than AGPL), By and Nc should probably apply.
How did you identify that it is using yhe project you linked?
Re: DataBorg – Knowledge Management Simplified
#44Looks interesting, but no info on what the 4000 classes are, is the ontology available?
We're using top level wikidata classes (you can see specific classes in JSON response). Full list is not published yet, but will be available in the near future.
Re: DataBorg – Knowledge Management Simplified
#45Earlier quoted context omitted.
Hi, CTO of DataBorg here. Thanks for trying it out! We weren't quite ready to announce it to public just yet :) But hey, can't do much about it now. Pricing is still a placeholder basically. We want to be in line with industry (which is generally ~0.001$ per 1000 characters), so the final tiers would look something like this: Free - 3,000 credits Hobby - 50,000 credits / 49$ Pro - 300,000 credits / 299$ Business - 5,…
Ooo that pricing is much better for indie hacking, thanks for explaining!
Happy to clear the misunderstanding :)
Re: DataBorg – Knowledge Management Simplified
#46Earlier quoted context omitted.
Named entity recognition is typically used to locate and classify named entities in text. So you'd want to have a text that mentions specific things - companies, people, locations, etc. Abstract things like "account" or "subscription" don't technically fall under "named entities" category.
So what good is the algorithm for knowledge management in IT if it cannot handle abstraction?
Can you show an example of the text you was trying to extract entities from, interested to see the problem.
Re: DataBorg – Knowledge Management Simplified
#47Earlier quoted context omitted.
So what good is the algorithm for knowledge management in IT if it cannot handle abstraction?
Can you show an example of the text you was trying to extract entities from, interested to see the problem.
I didn’t save it, but it was a generic specification text much like this one, but longer and more detailed and nuanced:
Users have personal user accounts. Each user account can belong into multiple companies. Each company can assign users access rights to system services according to predefined roles. Each system service has a unique identifier as well as one or more service group identifiers and namespace identifiers.