GraphNews

CSV2RDF 2.0 released! https://t.co/2lyYzOJ6fQCSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -now with named arguments (shout-out to @picocli) and a Docker image: https://t.co/BU9uoGXmIc— AtomGraph (@atomgraphhq) July 2, 2019

Last week, I virtually attended the Knowledge Graph Conference 2020. Originally, KGC was planned to be hosted in New York at Columbia University but, as with everything, had to go online because of the pandemic.

* SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks (arxiv.org/abs/2003.00678)

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A quick introduction to 10 basic graph algorithms with examples and visualisationsContinue reading on Towards Data Science »

#Ontology-Mediated Query Answering (OMQA) is a framework to answer queries over RDFS or OWL Knowledge Bases (KB). OMQA has been extended to SPARQL queries. #Research shows semantics can be defined that satisfies all requirements for SPARQL queries

#Semantic #technology, decision intelligence, knowledge #datascience will be our companions in the next years, so it's recommended to start exploring #graphdatabases, #ontologies, knowledge representation systems #knowledgegraph #AI #2020NewYear #trends

Google, Microsoft, Facebook have their own #knowledgegraphs. But there's a larger body of publicly available KGs, such as @DBpedia or #Wikidata @heikopaulheim @svenhertling @n_heist @dwsunima provide overview & comparison #opendata #EmergingTech #research

#Amazon Neptune #GraphDB celebrated its 18-month birthday last month. Here's a roundup of its many improvements over the last year in #Developer experience, #Enterprise capability, Instances, Performance and query improvements, Compliance, Regions #cloud

multiple tables linked by connected fields. Setting up a relational database requires a person who understands data structures. And if new information is added, or new relationships become important, the database administrator will need to change the structure of the database and, most likely, update the user interface as well. So what do you do if you have a data set where you can't map out the relationships ahead of time? Where instead of being connected by a single data point, people can be connected by things you can't predict in advance? Maybe two people are on the same baseball team or like the same types of books or live in the same city. Adding each of those items as a separa

3 ways that #DataVisualization will advance and impact users (including Knowledge Graphs): https://t.co/3XELwiVDDJ——————#BigData #DataScience #DataViz #VisualAnalytics #AnalyticsStrategy #DataStorytelling #KnowledgeGraphs #abdsc pic.twitter.com/N43Wx3APs2— Kirk Borne (@KirkDBorne) August 9, 2019

RDF4J 3.2.0 is a minor release, fixing 42 issues. It is backward compatible with older RDF4J releases.

An intro to querying #linkeddata using SPARQL & @Wikidata. Which films starred more than one future head of government? Largest city with a female mayor? Questions #linkeddata can answer #opendata #knowledgegraph #datascience @CCC h/t @LearningSPARQL [LINK]https://media.ccc.de/v/36c3-60-querying-linked-data-with-sparql-and-the-wikidata-query-service

#semantic understanding of scenes is important for #apps. But in what space should diverse information be grounded, in what structure? 3D Scene Graph outputs a layered graph. Layers have nodes, nodes have attributes, edges between nodes h/t @drfeifei

GPU->Rapids->Cugraph->Scalable Graph Analytics

#SchemaOrg created FAQ Schema. #Google introduced filtering parameters that come w Search implementation. These act as commandments for Google’s algorithm which should be abided by for when markup is used in search results #SEO #semantics h/t @cyberandy

based technologies will soon shift fr

Graph Theory and #DataScience: A topic intro with the Bridges of Königsberg. Graph Theory can be used to represent and analyze a wide variety of network information, has numerous modern applications within Data Science #data #tech #software #algorithms

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Building open domain conversational systems that allow users to have engaging conversations on topics of their choice is a challenging task. Alexa Prize was launched in 2016 to tackle the problem...

We explore the use of a knowledge graphs, that capture general or commonsense knowledge, to augment the information extracted from images by the state-of-the-art methods for image captioning. The...

Incorporating knowledge graph (KG) into recommender system is promising in improving the recommendation accuracy and explainability. However, existing methods largely assume that a KG is complete...

This paper presents the KG Usage framework, which allows the introduction of KG features to support Trust, Privacy and Transparency concerns regarding the use of its contents by applications. A...

To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account. Traditional methods like...

Background. Most tutorial ontologies focus on illustrating one aspect of ontology development, notably language features and automated reasoners, but ignore ontology development factors, such as...

.@opencitations & its datasets, tools, services, activities: #DataModel; @sparontologies (Semantic Publishing & Referencing) #ontologies; open software for searching, browsing and providing REST APIs over RDF #graphDBs; and more #OpenScience #OA https://arxiv.org/abs/1906.11964