A thorough introduction to knowledge graphs

An #opensource #software framework to build Games with Purpose for #linkeddata refinement: Web applications to crowdsource partial ground truth, by motivating user participation through fun incentives #knowledgegraph #datascience #data #opendata #research

A relational graph #neuralnetwork w bi-directional attention mechanism & hierarchical representation learning for open-domain question answering. Can learn contextual representation by jointly learning & updating query, #knowledgegraph, document #research

phase approach to adapt unsupervised entity name embeddings to a knowledge graph subspace and jointly learn the adaptive matrix and knowledge representation. Experiments on Freebase show that our method can

Representing Graph #Data Structures: Edge Lists, Adjacency Matrices, Adjacency Lists #datascience #analytics #tutorial #datamodel #softwareengineering #data #tech

Graph Data (Image credit actify)eCommerce catalogs are created by sourcing data from sellers(3P), suppliers/brands(1P). The data provided by partners (sellers, suppliers, brands) are often incomplete, sometimes missing crucial bits of information that our customers are looking for. Even though partners adhere to a spec (an agreed format for sending product data) there is a vast amount of data buried in the title, description and images. Besides the data provided by our partners there are lots of unstructured data on the internet in the form of product manual, product reviews, blogs, social media sites etc.At Walmart we are working on building a Retail Graph that captures the knowledge about product and its related entities to help our customers better discover products in our catalog. It’s a product knowledge graph that can answer questions about products and related knowledge in the retail context. Such a system can be used to power semantic search, recommendation system etc.

A case for response time focused query processing by @olafhartig at #ISWC19 Rethinking optimization criteria for Web querying. Optimizing Query execution time is not the same as optimizing Query Response time #research #www #linkeddata #keynote

How we used the Gremlin Graph API to manage role-based access control to resources in a knowledge base application.

Learn advanced Cypher queries for one approach to analyzing data inconsistencies directly in your flexible and forgiving Neo4j graph database.

answering is a natural human cognitive mechanism that plays a key ole in the acquisition of knowledge. We are constantly…

We are very happy to announce the 0.6 release of the SANSA (Semantic ANalytics StAck) framework - for large-scale analysis, inference, and querying of knowledge graphs! https://t.co/zAFgEaslgU #AI #machinelearning #semanticweb #apachespark #apacheflink #knowledgegraphs— SANSA (@SANSA_Stack) July 2, 2019

Accurately predicting the possible behaviors of traffic participants is an

Schema.org version 3.5 has been released. This release moves a number of terms from the experimental " Pending " area into the Schema.org...

Fast, simple & flexible API for the #SchemaOrg Vocabulary (and vocabulary extensions!) for Node and Browsers #softwareengineering #SEO #semantics #data #tech #datascience #javascript h/t @OmarNicarao @aaranged [LINK]https://www.npmjs.com/package/schema-org-adapter [LINK]https://i.imgur.com/ULn1Y5I.png

Getting a Schema.org implementation right on a website was enormously painful. Today, we've fixed that. Update to Yoast SEO 11.0 now!

Trace the safety information throughout the entire drug development lifecycle in a single intelligent system with Ontotext's solution.

News agencies produce thousands of multimedia stories describing events happening in the world that are either scheduled such as sports competitions, political summits and elections, or breaking...

This article seeks to answer the question of how we can use entities to optimize content today and how we, as SEOs, should look at them.

#Semantic Datatypes For Fun and Profit. How do you model identifiers? This seemingly simple question can reveal a surprising amount of complexity about the nature of identity & modeling, how we handle units in #datamodel #database #datascience @kurt_cagle

This series of posts describes the process of converting data held in tradition relational databases into a semantic format using a relatively simple example of summarising commercial fisheries sam…

Google may use Semantic Frames to better pre-train natural language when processing it to improve query understanding, word & sentence prediction & search.

4 August 2020  |  By Lambert Hogenhout, Chief of Data Analytics and Innovation, OICT

Graphs and graph databases have become increasingly important technologies for various reasons (See: Knowledge Graphs are on the rise). Nevertheless, it's still not common knowledge that there are two types of graph technologies which should be kept distinct from each other.

Read about the basics of semantic technology (the study of meaning) and ontology (a structured way to define that meaning) all in once place.

Ontotext’s smart semantic search solution helps Pharma companies to seamlessly navigate data and information coming from various siloed data-sources.

Renewable Energy Sources (RES) are increasingly penetrating the energy production side, and in combination with DR programs and improvement in energy storage options, could contribute to significantly reduce peak demands: Semantic Technologies for Demand Response