Re: ChatGPT, ontologies and SPARQL

explain your legal speculation?...outside of looking at my name and making
assumptions?

On Mon, 23 Jan 2023 at 10:38, Adeel <aahmad1811@gmail.com> wrote:

> legal speculation...?
>
> I work in the NLP space. I am relating to the topic of chatgpt?
>
> Your point was pointless.
>
> On Mon, 23 Jan 2023 at 10:37, Dan Brickley <danbri@danbri.org> wrote:
>
>> 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
>>>>
>>>>