GraphNews

https://douroucouli.wordpress.com/2019/05/10/obographviz-0-2-2-released-now-with-visualization-of-equivalence-cliques/

Eerily good timing, this is the perfect dataset for item 2: https://t.co/gBhtIylbvJ https://t.co/vOf3jEX7F7— Octavian.ai (@Octavian_ai) April 3, 2019

David Allen released a new version of #Halin, the #Neo4j monitoring tool and graph app. This release contains diagnostics & user management for @neo4j Community Edition! https://t.co/CZeWFBs9A9 pic.twitter.com/w4md30u8gU— odbms.org (@odbmsorg) January 9, 2019

Official news on crawling and indexing sites for the Google index

We recently released Ogma 3.0, a new version of Ogma, our JavaScript graph visualization library. This version comes with a new feature called Visual Grouping.The Visual Grouping feature provides a new way to make sense of complex graphs:Highlight similar entities by grouping them together visually,Simplify visualizations by grouping nodes and relationships,Dynamically switch between an overview and a detailed view by opening and closing groups of nodes.Introducing Visual GroupingOgma 3.0 brings a brand new way to group nodes in a network via the Visual Grouping feature. The Visual Grouping feature is a complementary element of the Node Grouping feature, and the two can be combined together.This means that with the new Visual Grouping in Ogma: Nodes can be clustered into a Visual Group consisting of a subgraph and a container node,Your graph visualization can be instantly simplified by replacing the complexity of a subgraph by a single container node without removing the sub

Read about how knowledge management can be made smarter using a knowledge graph built with semantic technology.

I have submitted mine. Find it at https://t.co/tdWjN8NhdX"The RDF* and SPARQL* Approach to Annotate Statements in RDF and to Reconcile RDF and Property Graphs"— Olaf Hartig (@olafhartig) January 11, 2019

The word “ontology” was introduced to information systems when only closed-world reasoning systems were available. It was “borrowed” from philosophy, …

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…

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…

Ontotext is closing up 2018 with wonderful financial results as well as some even more important and more exciting developments. Read on!

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.

Ontotext's GraphDB 8.9 consolidates the experience of developing knowledge graph embeddings and semantic similarity searches.

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…