Re: ChatGPT, ontologies and SPARQL

Periodic reminder: this list is not for legal speculation

Thanks!

On Mon, 23 Jan 2023 at 10:26, Adeel <aahmad1811@gmail.com> wrote:

> Hello,
>
> All the embedding models are non-compliant to use in EU/UK region as they
> lack transparency. You can't really use them in regulated environments
> without loss of lineage in the data governance which is necessary for
> regulatory compliance. They probably need to prioritize interpretability
> and explainability within their models. But, likely they don't care because
> platforms like hugging face are based in USA where such trustworthy efforts
> are non-existent and not a priority.
>
> 1) how the result was produced
> 2) whether the model was correct in producing such a result based on the
> implementation
> 3) training dataset bias - bias debasing, etc.
> 4) how to resolve the bias laundering effect
>
> Thanks,
>
> Adeel
>
>
> On Sat, 21 Jan 2023 at 15:09, ProjectParadigm-ICT-Program <
> metadataportals@yahoo.com> wrote:
>
>> Large language model interfaces with knowledge bases are a key ingredient
>> for digital empowerment of all stakeholders in the promotion of sustainable
>> development.
>>
>> The sad reality is that of the 7,151 living languages (source:
>> http://www.ethnologue.com) fewer than 200 are served currently in NLP
>> applications and AI chatbots.
>>
>> Even though there are linguistic tools available in principle to support
>> digital environments for all languages with populations of speakers of e.g.
>> 1,000 or more the situation is comparable to the pharmaceutical industry
>> where only the discovery and development of new drugs for large enough
>> markets is pursued.
>>
>> So we can actually state that wide scale applications of chatbot
>> applications and similar AI NLP application will only widen the digital
>> divide. See more about this on https://www.sil.org. <http://www.sil.org.>
>>
>> The GLIKI project (https://gliki.wordpress.com) was formulated to help
>> bridge this divide. This project is soon going into execution mode.
>>
>> It is also instructive to see what the IFLA, International Federation of
>> Library Associations (https://www.ifla.org) is doing in terms of open
>> access to knowledge.
>>
>> Open access to digital libraries and knowledge repositories is crucial in
>> developing countries and is currently a totally neglected and ignored
>> subject with Big Internet Tech companies, yet these developing countries
>> provide a huge potential customer base for internet services, in particular
>> for online education, online healthcare, cloud and edge computing services.
>>
>> Bilingual access (one international language and a native language) could
>> boost internet services and stimulate local development of NLP and AI
>> applications.
>>
>> Milton Ponson
>> GSM: +297 747 8280
>> PO Box 1154, Oranjestad
>> Aruba, Dutch Caribbean
>> Project Paradigm: Bringing the ICT tools for sustainable development to
>> all stakeholders worldwide through collaborative research on applied
>> mathematics, advanced modeling, software and standards development
>>
>>
>> On Friday, January 20, 2023 at 12:39:15 AM AST, Adam Sobieski <
>> adamsobieski@hotmail.com> wrote:
>>
>>
>> Hello. I am also thinking about artificial neural networks, dialogue
>> systems, and Semantic Web technologies, as Xavier asked about. I agree with
>> Paola that natural-language interfaces to knowledgebases have been a while
>> coming. Thank you, Dan, for pointing out:
>> https://github.com/jerryjliu/gpt_index .
>>
>> In the near future, it could be the case that content could move between
>> the semantic working memories of artificial neural networks and external
>> knowledgebases.
>>
>> I would like to share a hyperlink to an article which I recently wrote.
>> The article discusses artificial neural networks, (cognitive) semantics,
>> and semantic cognition. The article is, however, more about DALL-E 2 than
>> ChatGPT.
>>
>> In the short article: I envision systems which can bidirectionally
>> transform content pairwise between language, visual imagery, and semantics;
>> I discuss the ideas of artificial concepts, categories, attributes, and
>> relationships; and I show that varieties of multimodal semantics are
>> already enhancing the performance of AI systems with respect to visual
>> question answering, language-related, and vision-related tasks.
>>
>> The article is available here:
>> https://www.linkedin.com/pulse/artificial-neural-networks-semantic-cognition-adam-sobieski/
>>  .
>>
>> If you enjoy the article, please do like and share it on LinkedIn! Thank
>> you.
>>
>>
>> Best regards,
>> Adam
>>
>> ------------------------------
>> *From:* Dan Brickley <danbri@danbri.org>
>> *Sent:* Thursday, January 19, 2023 12:56 AM
>> *To:* Paola Di Maio <paoladimaio10@gmail.com>
>> *Cc:* SW-forum <semantic-web@w3.org>; W3C AIKR CG <public-aikr@w3.org>
>> *Subject:* Re: ChatGPT, ontologies and SPARQL
>>
>>
>>
>> On Thu, 19 Jan 2023 at 04:14, Paola Di Maio <paoladimaio10@gmail.com>
>> wrote:
>>
>> The semantic web has been waiting for natural language interfaces (well,
>> at least I have)
>> for decades, ideally read and write
>> if this tool can be used like that then lets see it
>>
>> @Danbri share results sometime?
>>
>>
>> Search twitter: chatgpt sparql
>> … lots of folk experimenting
>>
>> Dan
>>
>>
>>
>>
>> On Wed, Jan 18, 2023 at 10:33 PM Dan Brickley <danbri@danbri.org> wrote:
>>
>>
>>
>> On Wed, 18 Jan 2023 at 14:21, Paola Di Maio <paola.dimaio@gmail.com>
>> wrote:
>>
>> fyi - would be good to be able to generate sparql queries and interact
>> with ontologies using natural language
>> thanks to this user for discovering this feature
>>
>>
>> In general these new large LLM models seem to have a weird effect on
>> commentators: their ability to casually and confidently just make up
>> answers, tends to distract from their less exciting but potentially
>> transformative ability to kinda-sorta-kinda “understand” questions
>> expressed in natural language.
>>
>> Dan
>>
>> ps. folk here might find
>> https://github.com/jerryjliu/gpt_index worth exploring, as a tool that
>> supports idea of combining LLMs with external data. I have also had
>> promising results using GPT-* etc to generate SPARQL…
>>
>>
>>
>> ---------- Forwarded message ---------
>> From: *Paola Di Maio* <paola.dimaio@gmail.com>
>> Date: Wed, Jan 18, 2023 at 10:15 PM
>> Subject: Re: ChatGPT, ontologies and SPARQL
>> To: Contact - Cogsonomy <contact@cogsonomy.fr>
>> Cc: Semantic Web <semantic-web@w3.org>
>>
>>
>> assuming the syntax is good
>>  (your example validates here http://sparql.org/$/validate/query)
>> then it looks like a big YES
>> It would be amazing to have a tool that can translate natural language
>> queries into sparql
>> and remove a major hurdle to using open ontologies on the web
>> Please, lets set up a catalogue of examples and evaluate the results
>> great functionality if it works
>> thank you
>>
>>
>> On Tue, Jan 17, 2023 at 10:41 PM Contact - Cogsonomy <
>> contact@cogsonomy.fr> wrote:
>>
>> Hi,
>>
>> I asked chatGPT to create a sparql query for DBPedia by translating my
>> question expressed in natural language : "Give me all the names of the
>> cities located in France whose number of inhabitants is greater than
>> 10,000".
>>
>> Its answer was as follows :
>>
>> *here's the SPARQL query to answer the question:*
>>
>> *PREFIX dbo: <http://dbpedia.org/ontology/>
>> <http://dbpedia.org/ontology/>*
>> *PREFIX dbr: <http://dbpedia.org/resource/>
>> <http://dbpedia.org/resource/>*
>> *SELECT ?city *
>> *WHERE {*
>> *  ?city a dbo:City;*
>> *        dbo:populationTotal ?population;*
>> *        dbo:country dbr:France.*
>> *  FILTER (?population > 10000)*
>> *}*
>>
>> *This query uses the dbo prefix to access the DBpedia ontology and the
>> dbr prefix to access the DBpedia resources. It selects the names of cities
>> (?city) that are instances of dbo:City, have a total population
>> (?population) greater than 10000, and have the dbo:country property with
>> the value dbr:France (which represents France).*
>>
>> We can see on social networks several tests of chatGPT related to
>> ontologies.  Do you think we can use chatGPT to query natural language
>> ontologies (if we give it the structure before, of course)? And if we give
>> a consequent corpus in learning to the GPT-3 algorithm (or its successor),
>> do you think that it could build the ontology based on this corpus? More
>> generally, will our vision of ontologies not be modified by the arrival and
>> the rise of this kind of tool?
>>
>> Best regards,
>>
>>          Xavier
>>
>>