You are an auditing company providing a range of services, which require extensive #datamodeling & calculations through various platforms. That complexity leads to dispersed digital assets, error-prone work, & inefficient #datamanagement . What do you do?

hubs.la/Q02mQqZ40

We helped a top-tier investment bank:
⊹ improve competitive investment insight
⊹ discover information & insights previously locked in siloed data
⊹ document & automate business expertise & knowledge
⊹ gain significant advantage over its competitors

hubs.la/Q02nG3Bh0

We compare how the different #GraphRAG patterns can address the problem of lacking background knowledge that the naive “chunky” #RAG hits, including the use of #NLQ and external context derived from #Wikidata via #EntityLinking : hubs.la/Q02v7zqx0

#LinkedLifeData Inventory is a our #biodata & #FAIRdata #knowledgegraph specifically designed for the Healthcare & Life Science domain that gives access to 200+ public datasets & ontologies in #RDF format.

Watch the demo to learn what it can be used for: hubs.la/Q02r1jPS0

.GraphDB by Ontotext’s support for JavaScript means that you can write functions in this popular language, register them w/ a #GraphDB repository, & then call them from #SPARQL queries that you use w/ that repository. Check out what it looks like in practice: hubs.la/Q02nG4cw0

The seventh #AIinAction post takes us through the nitty-gritty details of adapting & extending a state-of-the-art #dataextraction algorithm to adjust it to the specific needs of #disinformation professionals. hubs.la/Q02rPd7h0 #dataanalysis #ETL #knowledgegraphs

The reality of transmission systems operator's (TSO) #assetmanagement involves various challenges inherent to the complex & dynamic nature of power distribution systems. Here's how an Electric Grid Assets #knowledgegraph functions as a cohesive interface: hubs.la/Q02n8sFz0

LLMs 'understand' well general concepts with 1000s of mentions in 100s of contexts in a big corpus. They cannot deal with facts and named entities, e.g. companies, designated and described via discrete facts instead of redundant mentions. Linking to knowledge bases is needed

The Database of Known Fakes (DBKF) is a powerful search tool that enables users to find relevant debunks not only through keyword search but also based on multi-media content (image, video) & gathered metadata. hubs.la/Q02r1pm20 #textanalysis #fakenews #disinfo #semantics

#Knowledgegraph for auditing company:
📌 enhances discoverability & drives improved use of information
📌 accelerates service delivery
📌 reduces #datamanagement costs
📌 ensures compliance & security while minimizing errors

A real life case study: hubs.la/Q02mQzkG0

If you:
• want to discover & repurpose existing drugs
• want to use target data of drug indications & build model data sets
• want to navigate efficiently large data sets

See how you can leverage our biomedical #FAIRdata #knowledgegraph : hubs.la/Q02r1lg60 #semanticdata

#DataWeekLeipzig is still on! If you're there & want to hear about 6 interesting real-world applications & use cases using #knowledgegraphs , join the session in the Sitzungssaal at 1pm CET moderated by Magnus Knuth from eccenca. hubs.la/Q02sZYtv0

twitter.com/ontotext/statu…

Say you're an investment bank that wants to identify better opportunities for clients, accelerate research, carry out deeper analysis, & perform more precise target qualification. How do you do that?

A real world example: hubs.la/Q02nG3vC0

1️⃣ First day of ACCORD project meeting.
Great exchange on the development of digital building permits and compliance-checking tools.
👇 Access the ACCORD project website for more information about the tools, methodologies and demonstration cases.
✅ accordproject.eu

❓ How does GraphDB by Ontotext enable users to talk to the data that they load into it?
💬 By implementing Retrieval Augmented Generation (RAG) w/ a vector database to set up the feature Talk to Your Graph.

Our technical post has the instructions: hubs.la/Q02t4rM-0

In praise of RDF

RDF is a data model, a knowledge representation system, a web standard & a data exchange format

Used to build #knowledgegraphs & #LLM -based applications

Semih Salihoğlu describes its virtues, vices, history & applications

#AI #GraphDB

buff.ly/49DJWus

Our webinar tomorrow will focus on a #knowledgegraph demonstrator we put a lot of effort to create, which leverages #LLMs to boost information extraction tasks, such as named entities recognition, #entitylinking , & event & relationship extraction. Join us! hubs.la/Q02t4fSN0

Our #AIinAction blog post looks at how #informationextraction & specifically #eventdetection can automated, enriched w/ #knowledgegraph technology & fine-tuned according to the requirements of a specific use case. hubs.la/Q02rPgwK0

Read and download the 500-page (PDF) Artificial Intelligence Index Report 2024 — Measuring Trends in #AI : aiindex.stanford.edu/report/ by AI Index

Chapters:
1: Research and Development
2: Technical Performance
3: Responsible AI
4: Economy
5: Science and Medicine
6: Education
7:…

⏰One day to go. #DBpedia is organizing a fantastic training at Data Week Leipzig tomorrow in #Leipzig . Check the program dbpedia.org/events/dbpedia… #DataWeekLeipzig #opendata #DBpedia Databus #DBpedia Tutorial #DBpedia Training #opensource