Was Michelangelo really a turtle?
This question will be solved by the research task force of @lysander07 who is presenting this LLM question answering and Information Extraction task, in which the reliability of LLMs applied on historical documents will be analysed.

LLMs are starving for knowledge graphs. Raphael Troncy was pointing out that many LLM company crawlers are constantly visiting their KGs. Some crawlers even perform explicit SPARQL queries on the KGs.

Excellent keynote in the #SemDH2025 workshop by Laura Hollink on Cultural Bias in Linked Open Data. Laura is addressing all bias related aspects in cultural heritage items itself, in the data representing it, the data schemata, vocabularies, and ontologies on which the data are based, as well as in the knowledge representation languages used to create the schemata.

#bias #eswc2025 #semanticweb #semweb #knowledgegraphs #ethics @nfdi4culture

"Learn how to see. Realize that everything connects to everything else", but how to do this with Linked Data? Eero Hyvönen is quoting Leonardo Da Vinci as an intro to his presentation "How to Create a Portal for Digital Humanities Research Using a Linked Open Data Cloud of Cultural Heritage Knowledge Graphs: Case SampoSampo"

paper: https://semdh.github.io/accepted-papers#paper11
webpage: https://seco.cs.aalto.fi/projects/ss/

#semdh2025 #eswc2025 #semanticweb #semweb #knowledgegraphs #sampo @nfdi4culture

Happy to share another exciting #postdoctoral #academic #job #opportunity in #Vienna at WU (Vienna University of Economics and Business) within the Bilateral AI #ClusterOfExcellence in #Vienna

https://wirtschaftsuniversitaet-wien-portal.rexx-systems.com/postdoctoral-Project-Staff-Member-eng-j2405.html

Help us boosting #AI research in #Austria's largest foundational research projects in this area in a great network and environment.

The position focuses mainly on #GraphBased #ArtificialIntelligence and #KnowledgeGraphs in (neuro-symbolic and data-driven) combinations with foundational models in #BILAI's Research Module 1 (cf. https://www.bilateral-ai.net/research-modules/)

Looking forward to your applications, please don't hesitate to reach out directly to me for any questions on the position and/or please do reshare with potentially interested colleagues!

Data graphs, computation graphs, property and #knowledgegraphs, #graphdatabase, probabilistic graph models, #gnn, there is currently an explosion of terms involving "graphs". What are their relations if any?

The Open Risk Academy course "An overview of graph methods in #datascience " aims to put some order in the graph chaos by introducing and relating these concepts in a structured way, resulting in, you've guessed it, a "graph of graphs"!

https://www.openriskacademy.com/course/view.php?id=50

Good news! I will be co-organizing the Knowledge Graph for Sustainability workshop @kg4s again at @eswc_conf, in Portoroz, Slovenia. We will soon announce the deadline and launch the 2025 website. Anyway, you can start preparing your submission. I am looking forward to see you in June!

"An archaeology of #knowledgegraphs and their mutation from the liberatory aspirations of the #semanticweb gives us an underexplored lens to understand contemporary #informationsystems. I explore how the ideology of cloud systems steers 2 NIH & NSF projects intended to build info #infrastructures for the #publicgood to inevitable corporate capture, facilitating the development of a new kind of multilayered public/private #surveillance system."
@jonny
https://hcommons.org/deposits/item/hc:54749/

Knowledge Graphs for drug repurposing: a review of databases & methods https://academic.oup.com/bib/article/25/6/bbae461/7774899 #bioinformatics #pharmacology #knowledgegraphs

Here are the slides from my #knowledgegraphs lecture "Knowledge Graphs - Data, Information, Knowledge" from last week's Studium Generale "Vernetzte Kultur" at Philipps-Universität Marburg.
Slides: https://zenodo.org/records/10575843

#semanticweb #NFDIrocks @nfdi4culture @NFDI4Memory @fizise @fiz_karlsruhe @NFDI4DS

The second version of the KG4S workshop (@kg4s) will be collocated with ESWC 2024 in Hersonissos, Crete, Grece. This workshop intends to gather researchers and industry stakeholders to create a meeting point between Web of Data technologies and sustainability research, to boost the potential contribution of Web technologies, such as Knowledge Graphs, towards sustainability. https://2024.kg4s.org

The second version of the KG4S workshop will be collocated with ESWC 2024 (@eswc_conf) in Hersonissos, Crete, Grece. This workshop intends to gather researchers and industry stakeholders to create a meeting point between Web of Data technologies and sustainability research, to boost the potential contribution of Web technologies, such as Knowledge Graphs, towards sustainability. https://2024.kg4s.org #kg4s #KnowledgeGraphs #sustainability #SemanticWeb #CFP

When you finally sit back and look over all you are building as a team and go "ahh shit I guess we're building a Content Graph"

Researching #KnowledgeGraphs as a tool for fact checking of #LLMs , I learned of #TimnitGebru's brilliant work in exposing the "do evil" values at BigTech. And the new concept (for me) of #TESCREAL. From Wikipedia:
"
#Gebru has used the acronym TESCREAL (Transhumanism, Extropianism, Singularitarianism, Cosmism, Rationalism, Effective Altruism, and Longtermism) to describe a set of overlapping belief systems ... right-leaning influence in the tech industry.[64][65]
"

Last week in the #ise2023 lecture, we were discussing complex class definitions with OWL. As an example for closed class definitions (nominals) I've chosen Isaac Asimov's original Foundation Trilogy...unfortunately none of the students knew what I was talking about ;-)

Slides: https://drive.google.com/file/d/16nmZlsXVnYfQnC80x5mAiqIYLcztur_a/view?usp=sharing

#semanticweb #owl #ontologies #knowledgegraphs #rdf @fizise @enorouzi @KIT_Karlsruhe #foundation #asimov #lecture

Glad to formally release my latest work - Surveillance Graphs: Vulgarity and Cloud Orthodoxy in Linked Data Infrastructures.

web: https://jon-e.net/surveillance-graphs
hcommons: https://doi.org/10.17613/syv8-cp10

A bit of an overview and then I'll get into some of the more specific arguments in a thread:

This piece is in three parts:

First I trace the mutation of the liberatory ambitions of the #SemanticWeb into #KnowledgeGraphs, an underappreciated component in the architecture of #SurveillanceCapitalism. This mutation plays out against the backdrop of the broader platform capture of the web, rendering us as consumer-users of information services rather than empowered people communicating over informational protocols.

I then show how this platform logic influences two contemporary public information infrastructure projects: the NIH's Biomedical Data Translator and the NSF's Open Knowledge Network. I argue that projects like these, while well intentioned, demonstrate the fundamental limitations of platformatized public infrastructure and create new capacities for harm by their enmeshment in and inevitable capture by information conglomerates. The dream of a seamless "knowledge graph of everything" is unlikely to deliver on the utopian promises made by techno-solutionists, but they do create new opportunities for algorithmic oppression -- automated conversion therapy, predictive policing, abuse of bureacracy in "smart cities," etc. Given the framing of corporate knowledge graphs, these projects are poised to create facilitating technologies (that the info conglomerates write about needing themselves) for a new kind of interoperable corporate data infrastructure, where a gradient of public to private information is traded between "open" and quasi-proprietary knowledge graphs to power derivative platforms and services.

When approaching "AI" from the perspective of the semantic web and knowledge graphs, it becomes apparent that the new generation of #LLMs are intended to serve as interfaces to knowledge graphs. These "augmented language models" are joint systems that combine a language model as a means of interacting with some underlying knowledge graph, integrated in multiple places in the computing ecosystem: eg. mobile apps, assistants, search, and enterprise platforms. I concretize and extend prior criticism about the capacity for LLMs to concentrate power by capturing access to information in increasingly isolated platforms and expand surveillance by creating the demand for extended personalized data graphs across multiple systems from home surveillance to your workplace, medical, and governmental data.

I pose Vulgar Linked Data as an alternative to the infrastructural pattern I call the Cloud Orthodoxy: rather than platforms operated by an informational priesthood, reorienting our public infrastructure efforts to support vernacular expression across heterogeneous #p2p mediums. This piece extends a prior work of mine: Decentralized Infrastructure for (Neuro)science) which has more complete draft of what that might look like.

(I don't think you can pre-write threads on masto, so i'll post some thoughts as I write them under this) /1

overdue #introduction

I'm a data science professor interested in how #AI #machinelearning and #knowledgegraphs can be used for the betterment of society.

Working on #datascience applications in #Earthscience and #spacescience. Passionate about #openscience

#introduction: I am a Chilean computer scientist at the University of Stuttgart, Germany, researching #SemanticWeb, #DataScience, #KnowledgeGraphs, and #Databases. I write about multiple topics (también en español). I am also interested in #OpenData, #Ecology, #Society, #Democracy, and #Art.