Re: Semantic Web + GenAI

Hi,

I'll be taking a look. For your description seems like your approach could
benefit from the reactive functional approach I'm trying to factor out (The
Resource Monad). Also, regarding your 'Algebra' focused paradigm, have you
take a look at section: 2.3. FCA CPPE / RCVs inference? Assigning Prime
Numbers IDs to each URI / URI Occurrence enables FCA[1][2] contexts
leveraged numerical reasoning and inference.

[1]: https://jfsowa.com/logic/math.htm#Lattice
[2]: https://en.wikipedia.org/wiki/Formal_concept_analysis

Thanks,
Sebastian.


On Fri, Sep 19, 2025, 12:14 PM Martynas Jusevičius <martynas@atomgraph.com>
wrote:

> Hi all,
>
> I recently published a project called Web-Algebra that bridges
> Semantic Web and GenAI. It does not consume non-semantic APIs however.
> On the contrary, it provides composable operations for RDF Linked Data
> and SPARQL sources.
> The operations can be executed in two ways:
> * as MCP tools (that get executed sequentially by LLMs)
> * as a new DSL that composes the operation calls into JSON 'bytecode'
> that is executed by Web-Algebra
>
> The operations include SPARQL query execution, read/write Linked Data
> requests, and LinkedDataHub data management.
> This way, Web-Algebra allows expressing complex semantic workflows
> declaratively using a JSON representation. This enables one-shot
> execution: instead of the LLM making multiple sequential MCP tool
> calls, it compiles the entire workflow into JSON that Web-Algebra
> executes atomically in one shot.
>
> https://github.com/AtomGraph/Web-Algebra
>
> I think you might find it interesting :)
>
> Best,
>
> Martynas
> atomgraph.com
>
> On Fri, Sep 19, 2025 at 4:33 PM Joris Lemay <joris.lemay@ehealtho..com>
> wrote:
> >
> > Dear Sebastian, all,
> >
> >
> >
> > Your post on GenAI + Semantic Web for EAI and BI made me think of a
> related approach from SAP that might interest this group.
> >
> >
> >
> > SAP has published a short course on API discovery using knowledge graphs
> that link RDF/OData API metadata to business processes, enabling agents to
> not only find the right APIs but also execute them in the right order:
> >
> >
> https://www.deeplearning.ai/short-courses/knowledge-graphs-for-ai-agent-api-discovery/
> >
> >
> >
> > Key points from the course:
> >
> > APIs are ingested into a knowledge graph and extended with process data..
> > Semantic retrieval reduces the API search space, while process edges
> define dependencies.
> > Agents can then select APIs and follow correct process sequences (GET,
> POST, etc.).
> >
> >
> >
> > Looks like a solid complement to your exploration of GenAI-leveraged
> Semantic Web infrastructure for enterprise integration.
> >
> >
> >
> > Best,
> >
> > Joris
> >
> >
> >
> > <!--This email was generated with AI-->
> >
> >
> >
> > From: Sebastian Samaruga <ssamarug@gmail.com>
> > Date: Wednesday, 17 September 2025 at 21:46
> > To: W3C Semantic Web IG <semantic-web@w3.org>, W3C AIKR CG <
> public-aikr@w3.org>
> > Subject: Semantic Web + GenAI
> >
> > Wondering if there is place for some attempts to outline what could be a
> GenAI leveraged Semantic Web infrastructure for Enterprise Application
> Integration (EAI) and Federated Business Intelligence (BI).
> >
> > The links in this post are some very early drafts of what could be
> achieved so far:
> >
> > https://sebxama.blogspot.com/2025/08/eai-framework.html
> >
> > This is a "container" index document where I'll be putting conclusions
> from the previous blog post links contents:
> >
> > https://github.com/sebxama/sebxama/raw/refs/heads/main/Index.docx
> >
> > I'm sending it also as an attachment. Looking for corrections /
> collaboration. Thanks in advance,
> >
> > Sebastian.
>