- From: Timothy Holborn <timothy.holborn@gmail.com>
- Date: Mon, 18 Mar 2019 09:01:21 +1000
- To: Kingsley Idehen <kidehen@openlinksw.com>
- Cc: public-solid <public-solid@w3.org>
- Message-ID: <CAM1Sok3VJKoNbdU0igYzGGN_bzP0A4pZ8zPg+OHg6BjgSPpToA@mail.gmail.com>
I've added it to the tools list[1], whilst adding a few noties, I note - i did find some github repos with suggested / solid ontologies - but only after i did a bunch of work falsely assuming the list didn't exist or some such similar misunderstanding. noting: - https://github.com/solid/vocab in any case; For non-RDF devs migrating to the concept of RDF, the three related issues that appear to require research are; 1. Finding vocab 2. using vocab 3. mapping vocab(?) - https://github.com/solid/solid-namespace Therein, developer requires a group of ontologies that suit the purposes of their app. They first need to identify the vocab URIs & related terms. developer then needs to attribute vocab terms to app. This could be done using existing vocab terms, or alternatively - developer could define their own app vocab, and map relevent vocab to app vocab. idea: Vocab helper tool for IDE (IE: ATOM, SublimeText, MSCode/VSCode) - search & add ontologies - autocomplete vocab terms Note: I found a bunch of RDF helper tools for sublime, atom, etc. added them to the tools sheet[1] Vocab Mapper - much as https://my.redlink.io/#/apps/DEMO/playground helps with NLP perhaps there's something similar that could be defined to help with ontology mapping? Thereafter Also: Solid Vocab Testing Tool? - Check document to see whether ontological structure is compatible with 'solid interop standards'? Let me know if i've got flawed assumptions somewhere..? timo [1] https://docs.google.com/spreadsheets/d/19IEgvdvwl_EOGhmIFinVQu4OerRojeje8PaZWGvoO4Q/edit#gid=0 On Mon, 18 Mar 2019 at 06:19, Kingsley Idehen <kidehen@openlinksw.com> wrote: > On 3/17/19 4:23 AM, Timothy Holborn wrote: > > I started editing the tools doc i'd started sometime ago, adding > ontologies (common vocab[1]) > > I then found https://prefix.cc/ which is also quite useful. > > Whats the deal with https://www.w3.org/2000/10/swap/pim/ ? > > noting also - https://www.w3.org/2000/10/swap/ > > Is anyone aware of a terms look-up service? I was wondering how to help > those who haven't developed apps that use RDF, find vocab that more easily > helps them do so, whilst also thinking about various interop requirements > therein... > > timo. > > [1] > https://docs.google.com/spreadsheets/d/19IEgvdvwl_EOGhmIFinVQu4OerRojeje8PaZWGvoO4Q/edit#gid=1792718229 > > > > Based on current state of art re Semantic Web of Linked Data and > associated tools, here's what I do when I am curious about a term in an > ontology or vocabulary that has been published in line with Linked Data > principles: > > 1. Goto http://linkeddata.uriburner.com/fct > > 2. Select "Entity Lookup" Tab > > 3. Paste in URI of term from given ontology or vocabulary. > > > Thus, I would goto: http://prefix.cc/pim ; and then end up at: > http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Fwww.w3.org%2Fns%2Fpim%2Fspace%23&invfp=IFP_OFF&sas=SAME_AS_OFF&distinct=1 > . > > > Using our Data Sniffer Browser Extension [1], I would simply click on > http://prefix.cc/pim, and it will produce an RDF Entity Description in my > browser. I can then click on the "LOD Cloud Lookup Query" or "obtain a > description of this Web doc.." icon which leads to entity description pages > too. In all cases, 5-Star Linked Data is delivers. > > > -- > Regards, > > Kingsley Idehen > Founder & CEO > OpenLink Software > Home Page: http://www.openlinksw.com > Community Support: https://community.openlinksw.com > Weblogs (Blogs): > Company Blog: https://medium.com/openlink-software-blog > Virtuoso Blog: https://medium.com/virtuoso-blog > Data Access Drivers Blog: https://medium.com/openlink-odbc-jdbc-ado-net-data-access-drivers > > Personal Weblogs (Blogs): > Medium Blog: https://medium.com/@kidehen > Legacy Blogs: http://www.openlinksw.com/blog/~kidehen/ > http://kidehen.blogspot.com > > Profile Pages: > Pinterest: https://www.pinterest.com/kidehen/ > Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen > Twitter: https://twitter.com/kidehen > Google+: https://plus.google.com/+KingsleyIdehen/about > LinkedIn: http://www.linkedin.com/in/kidehen > > Web Identities (WebID): > Personal: http://kingsley.idehen.net/public_home/kidehen/profile.ttl#i > : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this > >
Received on Sunday, 17 March 2019 23:01:14 UTC