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#rdf

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Tomorrow, we will dive deeper into ontologies with OWL, the Web Ontology Language. However, I'm doing OWL-lectures now for almost 20 years - and OWL as well as the lecture haven't changed much. So, I'm afraid I'm going to surprise/dissapoint the students tomorrow, when I will switch off the presentation and start improvising a random OWL ontology with them on the blackboard ;-)

#ise2025 #OWL #semanticweb #semweb #RDF #knowledgegraphs @fiz_karlsruhe @fizise @tabea @sourisnumerique @enorouzi

While working on a graph partitioning strategy, I stumbled upon an interesting paper
jbiomedsem.biomedcentral.com/a
So, let me ask, what successful strategies for multi-level partitioning with #RDF named graphs have you applied or know about?
(beyond this paper and what it cites)

BioMed CentralSemantic units: organizing knowledge graphs into semantically meaningful units of representation - Journal of Biomedical SemanticsBackground In today’s landscape of data management, the importance of knowledge graphs and ontologies is escalating as critical mechanisms aligned with the FAIR Guiding Principles—ensuring data and metadata are Findable, Accessible, Interoperable, and Reusable. We discuss three challenges that may hinder the effective exploitation of the full potential of FAIR knowledge graphs. Results We introduce “semantic units” as a conceptual solution, although currently exemplified only in a limited prototype. Semantic units structure a knowledge graph into identifiable and semantically meaningful subgraphs by adding another layer of triples on top of the conventional data layer. Semantic units and their subgraphs are represented by their own resource that instantiates a corresponding semantic unit class. We distinguish statement and compound units as basic categories of semantic units. A statement unit is the smallest, independent proposition that is semantically meaningful for a human reader. Depending on the relation of its underlying proposition, it consists of one or more triples. Organizing a knowledge graph into statement units results in a partition of the graph, with each triple belonging to exactly one statement unit. A compound unit, on the other hand, is a semantically meaningful collection of statement and compound units that form larger subgraphs. Some semantic units organize the graph into different levels of representational granularity, others orthogonally into different types of granularity trees or different frames of reference, structuring and organizing the knowledge graph into partially overlapping, partially enclosed subgraphs, each of which can be referenced by its own resource. Conclusions Semantic units, applicable in RDF/OWL and labeled property graphs, offer support for making statements about statements and facilitate graph-alignment, subgraph-matching, knowledge graph profiling, and for management of access restrictions to sensitive data. Additionally, we argue that organizing the graph into semantic units promotes the differentiation of ontological and discursive information, and that it also supports the differentiation of multiple frames of reference within the graph.

Gibt/gab es in Deutschland in letzter Zeit eine Konferenz oder Unkonferenz rund um #LinkedData #RDF #SemanticWeb?

Wenn ja: Bitte antworten und boosten.

Wenn nicht oder nicht bekannt: Bitte abstimmen und boosten.

Weder noch: Bitte boosten ;)!

Ein Barcamp rund um diese Themen…

Gracias al @flisoluy (2025) y @wikimedistasuy, pude inferir que #Wikimedia tiene sus datos en #RDF. Yo no tenía ni idea, pero cuando lo pensás, ¡es obvio! 🤦 WM tiene la mayor BD de conocimiento libre, **en un formato estándar** e **interconectable**.

Mi respuesta durante la charla no estaba nada preparada, claro. Así que agrego, esos estándares facilitan relacionar datos de WM con OSM (wiki.openstreetmap.org/wiki/RD), con legislación de la EU (eur-lex.europa.eu/eli-register), o un largo etc.

Qué maravilla.

wiki.openstreetmap.orgRDF - OpenStreetMap Wiki
Continued thread

Storing #RDF or #LinkedData is the easy part (I am working on #activitypub client, so everything is JSON-LD anyway), but as soon as I need to formulate queries like "Give me list of the activities from all the actors who are on the following collection of my user, sorted by published/updated date", the amount of data mangling that I need to do is already making me think "ok, why don't I just push all of this to sqlite?"

#couchdb experts (@janl, @nolan), any suggestions here?

New blog post! I've started taking regular snapshots of Library of Congress linked open data (as part of a much broader data rescue and monitoring project) and took the opportunity to finally get to grips with #SPARQL, #RDF and all that comes along with it. I've started small though...

On fooling around with triples
erambler.co.uk/blog/on-fooling

erambler.co.ukOn fooling around with triplesa blog about research communication & higher education & open culture & technology & making & librarianship & stuff

#PageWeb will be essentially the web, but with limits on what a page is. The #HCI of making the fundamental units smaller has been proven.

For the most part, the data in a page will be secondary to the the connective infrastructure; Page Web will use #RDF in human-readable ( see #literate_programming for guiding philosophy ) toots to dynamically navigate the web of pages.

As such, pages, though *static*, will *move* through the web as they are mentioned, described, and linked with other pages.

For anyone that came from a software engineering background and then discovered #knowledgegraphs #rdf did you draw parallels between how rdfs / owl inferencing work to weakly typed languages like python? For instance if you have an instance of a Class A in RDF but assign a property to it with a domain of B then instance A also becomes instance B.

In python a variable becomes whatever instance of type is assigned to it . Not a stellar mapping because python variables can’t also become instances of other classes at runtime after assignment but at least thats the closest tether back to swdev I can think of from RDF.

Also golang interfaces come to mind. If it walks like a duck, its a duck! sort of thing