Re: work on analyzing or improving the Wikidata ontology

This exchanged prompted me to engage in this chat with Bard, whose conclusion is:

I see StratML's approach as a powerful and practical way to build a valuable ontology for the strategic planning domain. Starting with a user-driven folksonomy ensures immediate utility and adaptability, while the potential for gradual formalization provides a clear path towards robust knowledge representation and reasoning capabilities. This hybrid approach offers the best of both worlds, balancing flexibility with rigor to meet the evolving needs of strategic planning and analysis.

StratML is minimally documented in Wikidata.
A full-text query at https://search.aboutthem.info/ reveals five references to Wikidata, including its about statement.
Owen Amburhttps://www.linkedin.com/in/owenambur/
 

    On Saturday, January 6, 2024 at 05:52:45 AM EST, Paola Di Maio <paola.dimaio@gmail.com> wrote:  
 
 Greetings, Peter PS
Although not strictly an AI topic, I share your email with @everyone  @W3C AI KR CG mailing list because
1. Its an opportunity to work with Peter who is an early proponent of intelligent technologies and knows quite a great deal of stuff

2. Wikidata has been a good examples of  plain SW  implementations that offers simple but robust (semantic) inference mechanism and is open source
Minimally addressed here https://opendata.stackexchange.com/questions/15780/does-wikidata-offer-inferencing-reasoning
Peter, Please share with us any demo that shows wikidata reasoning/inferencing capability? Whats the plan for leveraging wikidata to do AI?
I take this opportunity to welcome all new members to this WG and encourage you to introduce yourselves tot he list, share what you are working on,how you plan to contribute etc
Best greetings

Paola DM, Chair



On Thu, Jan 4, 2024 at 4:38 PM Peter F. Patel-Schneider <pfpschneider@gmail.com> wrote:

Wikidata (https://www.wikidata.org/wiki/Wikidata:Main_Page) is a large (close 
to 110 million entities) open-source repository of information. Wikidata uses 
a data model that is similar to, but more general than that of either RDF or 
labelled property graphs. Wikidata incorporates a large ontology using regular 
properties, as does RDFS.

The Wikidata ontology has become very large, somewhere around 4 million 
class-like entities. As for the rest of Wikidata, the Wikidata ontology is the 
result of edits from many different sources and by many different agents. As a 
result, there are many problems in the ontology.

There have been several investigations and surveys about the Wikidata ontology 
and thus an increased awareness of the problems in the ontology.   See 
https://www.wikidata.org/wiki/Wikidata:Ontology_issues_prioritization, 
https://www.wikidata.org/wiki/Wikidata_talk:Ontology_issues_prioritization#Overview_of_potential_solutions, 
and 
https://commons.wikimedia.org/wiki/File:Wikidata_Challenges_in_Semantic_Web_Community.pdf 
for more information.  There is a task force starting up to address issues in 
the Wikidata ontology.  See
https://www.wikidata.org/wiki/Wikidata:WikiProject_Ontology/Cleaning_Task_Force 
for more information.

If you are interested in analysis of the Wikidata ontology or in helping to 
improve the ontology please contact me. Any kind of interest is welcome, 
ranging from theoretical analyses of the ontology, to techniques for reasoning 
in Wikidata, to implementation of tools that help improve the ontology, to 
direct editing of the ontology. I can assist you in finding out more about the 
ontology, introducing you to others involved with the ontology, forming groups 
that can address issues with the ontology, or developing a topic suitable for 
academic investigation.

Peter F. Patel-Schneider