GraphNews

.@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

by Allard Oelen and Markus Stocker

Instead of representing #research in static PDF articles @l3s_luh works on a dynamic #knowledgegraph. The Open Research KG represents ideas, approaches, methods in machine-readable form. A comparison of different genome editing methods can be created

Personal Data Privacy Raises Difficult Questions. Tracking Personal Data Requires Deep Visibility, and #GraphDatabases Are a Good Foundation for #Data #Privacy #Compliance https://neo4j.com/blog/overcoming-ccpa-challenges-graph-technology-solves-personal-data-privacy-challenges/

This blog post by Steve Sarsfield provides an overview of the graph market and how to select the appropriate graph database for your particular use case.

The International Semantic Web Conference (ISWC) is the premier international forum, for the Semantic Web Community. ISWC 2018 in Monterey, CA (USA) will bring together researchers, practitioners and industry specialists to discuss, advance, and shape the future of semantic technologies

Updates on #knowledgegraphs affect services built on top of them. But not all changes are the same: some updates drastically change the result of operations based on knowledge graph content; others do not lead to any variation #research #award #iswc_conf

Towards the @BoschGlobal Materials Science Knowledge Base #Industry40 #data #knowledgemanagement #knowledgegraph use case in #iswc_conf #digitaltransformation #business #tech @metaphacts http://ceur-ws.org/Vol-2456/paper89.pdf

BOSTON, July 10, 2019 -- Cambridge Semantics announced that Parabole, a cognitive analytics technology company for the banking and financial service

How to generate RDF from very large and heterogeneous data sources. Presentation on the Semantiv Big Data workshop @ SIGMOD/PODS 2019 conference.

Have you ever wondered how when you search for something or someone in Google search engine you see relevant stories, Wikipedia and images…Continue reading on AlgoAnalytics »

The workflow & cost of my current Personal Knowledge OS setup, key tools includes @RoamResearch @readwiseio @instapaper @AirrAudio @reed...

Data visualization has been a highly requested feature for Stardog, so we’re happy to announce that we’ve built Visual Results into Stardog Studio.

Eileen Li | Software Engineer, Knowledge

generation retrieval systems to improve retrieval performance. Knowledge graph abstracts things into entities and establishes relationships among entities, which are expressed in the form of triples. However, with the expansion of knowledge graph and the rapid increase of data volume, traditional place retrieval methods on knowledge graph have low performance. This paper designs a place retrieval method in order to improve the efficiency of place retrieval. Firstly, perform data preprocessing and problem model building in the offline stage. Meanwhile, build semantic distance index, spatial quadtree index, and spatial semantic hybrid index according to semantic and spatial information. At the same time, in the online retrieval stage, th

Easily build intelligent globally distributed apps running at planet scale with Azure Cosmos DB.

Learn more about the graph algorithm PageRank, told through an example of high school popularity via the classic 1980s movie "Heathers."

Rock and Roll!

Practical Gremlin, the guide to @apachetinkerpop #graphdatabase opensource framework by @gfxman, just went past the 1000 commit mark and has a new edition #database #datascience #analytics #tutorial

06/20/19 - Knowledge graph reasoning, which aims at predicting the missing facts through reasoning with the observed facts, is critical to ma...

L3S member Prof. Dr. Sören Auer, Director of the TIB and Professor of Data Science & Digital Libraries at Leibniz Universität Hannover, is one of the world's most cited researchers in the field of artificial intelligence. Analyses of academic data from the online platform AMiner (https://www.aminer.org/ai2000/ke) have shown that Sören Auer is one of the most influential scientists in the field of knowledge engineering (knowledge modelling).  The list, which puts him in 4th place, honors the work of the researchers over the last 10 years. The "Most Influential Scholar" award is given in recognition of outstanding technical achievement with lasting impact. How can the handling of information, data and knowledge be improved and made more effective? In view of the enormous technological progress, how can knowledge and information be digitally networked so that they can be better used by machines in the future? Auer and his team at the TIB and the L3S in Hannove

Gremlin Snippets are typically short and fun dissections of some aspect of the Gremlin language. For a full list of all steps in the Gremlin language see the Reference Documentation of Apache TinkerPop™. This snippet is based on Gremlin 3.4.6.This snippet demonstrates its lesson using the data of the modern toy graph (image).Please consider bringing any discussion or questions about this snippet to the Gremlin Users Mailing List.