We address the problem of learning a distributed representation of entities

Keynote talk given at the 41st European Conference on Information Retrieval (ECIR 2019)

A new formal framework based on category theory which provides formal definitions of the main basic features of RDF and SPARQL. Proposal to define notions of RDF graphs as well as SPARQL basic graph patterns as objects of some nested categories #research http://arxiv.org/abs/1910.07519

ExaMode is a EU-funded research project empowering medical professionals to provide more efficient patient care through data-driven diagnoses.

Deep learning models contributed to reaching unprecedented results in prediction and classification tasks of Artificial Intelligence (AI) systems. However, alongside this notable progress, they do not provide human-understandable insights on how a specific result was achieved. In contexts where the impact of AI on human life is relevant (e.g., recruitment tools, medical diagnoses, etc.), explainability is not only a desirable property, but it is -or, in some cases, it will be soon-a legal requirement. Most of the available approaches to implement eXplainable Artificial Intelligence (XAI) fo...

Obfuscation traditionally gives analysts a bit of a hard time. Graph databases can help look past the smoke and mirrors. Learn more on the G DATA TechBlog!

With some Python, JavaScript, and of course, SPARQL.

In the previous part, we started to outline what ontologies are and how they may be used; now it is time to get into more practical guidelines and tips…

The complexity of data modeling, and ontology creation, gives rise to whether it is better to borrow, buy or build your ontologies

How the study of what there is can help us be better data scientists.

#Ontology Management Market to gain massive momentum by 2025 says @Reportconsult #research #semantics #data #analytics #datascience #knowledgegraph #AI #EmergingTech h/t @taxobob @theodorapetkova

In this review, we provide a summary of recent progress in ontology mapping (OM) at a crucial time when biomedical research is under a deluge of an in…

Technology research and analyst house Bloor Research places Ontotext as champion among RDF graph providers in its latest update on the graph database market

Ontotext Platform 3.1 features GraphQL Mutation and Federation, Schema Generation, Access Control and API Gateway for easy development of knowledge graphs

Ontotext releases GraphDB 8.10, which makes the knowledge graph experience quicker, easier and more productive.

Ontotext releases GraphDB 8.8.0 - the latest version of its signature semantic graph database - with new features and updates.

GraphDB has generated a thriving community over the years and they share their insights and experience in many blog posts and tutorials.

Dive in our review of Ontotext’s five most fascinating blog posts for 2018, based on your interest.

This is one post in a series of tips on ontology development, see the parent post for more details. When building a bio-ontology, we frequently make design decisions regarding how we choose to mode…

This is a post in a series of tips on ontology development, see the parent post for more details. (Note there is an excellent introduction to this topic in the ontogenesis blog) The 2003 paper Modu…

This is one post in a series of tips on ontology development, see the parent post for more details. A Porphyrian tree. With apologies to The Shamen, Ebeneezer Goode The idea of classification using…

This is a post in a series of tips on ontology development, see the parent post for more details. Ontologies contain both textual definitions (aimed primarily at humans) and logical definitions (ai…

Open Belgium is a yearly conference by a group of open enthusiasts at @openknowledgebe

world applications. The OGB data loaders are fully compatible with popular graph deep learning frameworks, including Pytorch Geometric and DGL. They provide automatic dataset downloading, standardized dataset splits, and unified performance evaluation.

#OpenSource Release @zazukocom #Ontology Manager. Tell a closed group to model the world & they will, often w/o outside feedback. Result may be powerful, but leads to ontologies few ppl use. It's best done using collaborative web platform #knowledgegraph

.@lyfteng announces #opensource Amundsen #data discovery & #metadata engine. Metadata service provides metadata about data resources, displayed in the front-end, utilized by other services. By default, the persistent layer is powered by #Neo4j #graphDB

Norconex crawlers can now be used to harvest relationships from websites and filesystems and feed them to Neo4j.

Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019.

Optimizing #algorithms on large scale labeled property graphs. Comparing optimization approaches, directly querying #graphdatabase. Aim: determine limiting factors of #GraphDBs. Speedup of a factor between 44 & 3839 #knowledgegraph #research #EmergingTech [LINK]https://arxiv.org/abs/2002.03686 [LINK]https://i.imgur.com/75Wxc5b.png

The scope of fraud management for financial crimes has reached global proportions. Financial service organizations are contending with measures for Anti-Money