- From: Kingsley Idehen <kidehen@openlinksw.com>
- Date: Wed, 19 May 2021 10:46:21 -0400
- To: public-rww@w3.org
- Message-ID: <b0567b60-3900-dc9e-0236-1ae5dc0c7812@openlinksw.com>
On 5/19/21 9:02 AM, Jonas Smedegaard wrote: > Quoting Nathan Rixham (2021-05-19 14:37:51) >> On Wed, May 19, 2021 at 1:20 PM Jonas Smedegaard <jonas@jones.dk> wrote: >> >>> Quoting Melvin Carvalho (2021-05-19 13:14:37) >>>> On Tue, 18 May 2021 at 21:33, Kingsley Idehen >>>> <kidehen@openlinksw.com> wrote: >>>>> The Super Set should always be the point of focus if >>>>> interoperability is the goal. That's a classic route to more >>>>> "AND" and less "OR" . >>>> +100 to this >>>> ... >>>> We should be inclusive of the many thousands (millions?) of >>>> developers that enjoy working with JSON(-LD) >>>> >>>> And also introduce them to the benefits of a more structures EAV >>>> model ie making merges cheap, enabling federation, allowing anyone >>>> to say anything about anything (ie decentralized features), >>>> discovery, follow your nose, indexing, allowing multiple things to >>>> exist in a document. >>>> >>>> And we can also learn from the tooling and network around JSON, >>>> how it makes parsing easy and ubiquitous, fast startup time, easy >>>> to work with arrays, easy to work with numbers >>> Related to the above, Atomic Data seems an interesting concrete >>> approach to use a subset of RDF optimized for lesser confusion for >>> non-RDF developers: https://docs.atomicdata.dev/motivation.html >> Very nice, when multiple parties independently create the same thing, >> for years on end, then it's reasonable to assert they're on the right >> path, and encountering the same issues w/ the same clear solution. > Are you saying that others have invented something similar to Atomic > Data? I'd be quite interested in learning more about that. Yes, as in Read-Write Linked Data technology which I think we've been doing for eons :) Most recently, we put some this work into higher level tools outside of Virtuoso and our OpenLink Data Spaces platforms such as: [1] The OpenLink Structured Data Sniffer (OSDS) for Chromium-based Browsers <https://chrome.google.com/webstore/detail/openlink-structured-data/egdaiaihbdoiibopledjahjaihbmjhdj?hl=en> -- which can process Linked Data deployed via URIs; transform JSON and CSV into Linked Data (5-Star variety); handled storage to File System or DBMS; deconstruct URIs and even offer SPARQL Edititing etc.. [2] The OpenLink Structured Data Sniffer for Firefox <https://addons.mozilla.org/en-US/firefox/addon/openlink-structured-data-sniff/> There are also other RWW tools like Dokie.li [3] that work very well with OSDS e.g., inline editing of existing HTML docs that includes marking out relations using Nanotation (a little scheme I created for generating Linked Data from blocks of structured data embedded in text). [3] Dokie.li Extension for Chromium-based Browser <https://chrome.google.com/webstore/detail/dokieli/ddmhaonbhodhgkaljpjlglodncddalid?hl=en> For the time-challenged, here are some screencasts demonstrating aspects of these browser extensions: [1] Demonstrating the combined use of OSDS and Dokie.li <https://youtu.be/J-T_lMQZECQ> [2] Demonstrating OSDS and The OpenLink Structured Data Bot (OSDB) <https://youtu.be/1EgpVTlY05A> re "Search Action" discovery from RDF published via HTML using terms from the Schema.org vocabulary [3] My screencasts demo collection on YouTube <https://www.youtube.com/c/KingsleyIdehen/videos> -- 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 Wednesday, 19 May 2021 14:46:38 UTC