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based relevance, without any contextual awareness. Identifying "golden” as a colour would, in fact, elevate the user experience as a whole.To understand our customer's intention, we needed to understand each que

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...

See articles in the new DATA INTELLIGENCE Journal: mitpressjournals.org/toc/dint/curre…

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

Learn why semantic technology is not only about technology, but also about the way an enterprise sees the world and its place in the digital landscape.

What to expect of Semantic Web and other Semantic Technologies? Knowledge Graphs have gotten a lot of attention as a backbone for Machine Learning, Deep Learning, and AI business use cases. Expect that to continue. There has been a growing appreciation of Knowledge Graphs — ontologies — to provide an umbrella overlay for cross-walks across siloed information resources.

#SemanticWeb and #Semantic #Technology Trends in 2020. One way or another, it’s all about graphs. And #machinelearning. And #AI. And what their connections to each other are. Welcome to the world of semantic technology in 2020.

Semantic Web Company and Ontotext implemented a seamless integration of their products to solve numerous use cases in knowledge graph management.

Edwin Toonen Edwin is a strategic content specialist. Before joining Yoast, he spent years honing his skill at The Netherlands’ leading web design magazine. Search engines love entities. Entities can be people, places, things, concepts, or ideas and they will often appear in the Knowledge Graph. Lots of search terms can be an entity, but specific search terms can also have different meanings and thus, be different entities. Take [Mars] for example; are you talking about the planet entity or the candy bar entity? The context you give these entities in your content determines how search engines see and file your content. Find out how to link entities to your content using Yoast SEO. Let’s talk semantics Semantics is the search for meaning in words. In theory, you could write an article about Mars without ever mentioning it directly. People would understand it if you provide enough context in the form of commonly used terms and phrases. To illustrate this, we’ll take

#Semantics at Scale is made possible with the advent of tools like BERT, bert-as-service, support for dense vector manipulations in Elasticsearch. Degree may vary depending on use case, but search results can benefit from augmenting keyword based results

Volume 12, July–December 2020, 100516

Knowledge Graphs are very hot in the information world right now; when articles from this fairly esoteric space in the information industry show up in Forbes and the Wall Street Journal, something is clearly afoot.

In this blog post, we’re going to walk through designing a graph processing algorithm on top of Neo4j that discovers the influence and sentiment of tweets in your Twitter network.

SERP analysis is an essential step in the process of content optimization to outrank the competition on Google. In this blog post I will share a new way to run SERP analysis using machine learning and a simple python program that you can run on Google Colab. SERP (Search Engine Result Page) analysis is part of keyword research and helps you understand if the query that you identified is relevant for your business goals. More importantly by analyzing how results are organized we can understand how Google is interpreting a specific query. What is the intention of the user making that search?What search intent Google is associating with that particular query?The investigative work required to analyze the top results provide an answer to these questions and guide us to improve (or create) the content that best fit the searcher. While there is an abundance of keyword research tools that provide SERP analysis functionalities, my particular interest lies in understanding the semanti

This post shows how to build serverless GraphQL service by using Azure Functions and GraphQL for .NET.

Given set of SHACL constraints & set of datalog rules, #research detects which constraints could be violated by application of inference rules on some graph instance of the schema, updates original schema to capture new facts #semantics #knowledgegraph http://arxiv.org/abs/1911.00598

Decentralized apps will need a lot of flexibility, which they will gain through data shapes ◆ Ever since Ed Sheeran’s 2017 hit, I just can’t stop thinking about shapes. It’s more than the earworm though: 2017 is the year in which I got deeply involved with Solid, and also when the SHACL recommendation for shapes was published…

With the release of Neo4j 4.0 comes an exciting new feature, called Neo4j Fabric. The operational principle of Neo4j Fabric is in essence quite simple – it provides a way to issue Cypher queries that target more than one Neo4j graph database at once.