Despite the excitement about Large Language Models (LLM), these models suffer from hallucinations problems, e.g., generating factually incorrect text. These problems restrict the development of production-ready applications. This talk will highlight the importance of combining Knowledge Graphs wi...

We aim to bring interested researchers uKnowledge graph construction which aims to extract knowledge from the text corpus, has appealed to researchers. Previous decades have witnessed the remarkable progress of knowledge graph construction on the basis of neural models; however, those models ofte...

Beamery is a funded startup based in London and the US, selling talent management software to enterprises, and is industry leading in the talent management sector. As a company, we have invested heavily in practical AI solutions underpinned by knowledge graph technology.

By far the largest kn...

In general, property graphs are very flexible since we can associate any number of properties with nodes and edges. To add more structure, nodes and/or edges are often typed (via a label). In that case, a labeled node (or edge) of a particular type is expected to have specific properties. This wo...

Presentation covers a technology used to automate Knowledge extraction from Text. This novel technology blends neural language models, semantic tech, rule systems, linguistic theory to achieve reliable extraction performance. Specifically, the dicussion will focus on the work done together with D...

ESG (Environmental, Social, Governance) is increasingly becoming the central guiding principle for companies in all industries. ESG need not remain an imposed compliance constraint for companies, but can also provide a wealth of opportunities and ideas for how organizations can evolve.
However,...

The IKEA Knowledge Graph includes information around complementary products, their benefits, as well as some safety precautions that customers should be aware of. This information is captured on a general level and allows to drive customer-facing recommendations in a very efficient manner. Also, ...

Companies are increasingly using artificial intelligence (AI) applications for decision-making today. However, due to lack of context, AI systems have not yet achieved their full potential as reliable solutions for complex problems. Enter knowledge graphs - the modern way to capture relationships...

Personalization is the key to success for consumer product organizations. In this talk, you'll learn the insights and design patterns to build a scalable & polyglot Knowledge Graph to provide personalized experiences to end customer. It'd also cover the practical tips and architectural know how t...

The main objective of Drugs4Covid is to create resources, following the principles of Open Science, that facilitate the extraction of knowledge from scientific literature related to the Coronavirus. These resources can be used by scientific communities that carry out research in relation to SARS-...

This presentation deals with the creation of a Knowledge Graph for an online leading news publisher in Germany. We used the technology behind Knowledge Graphs to semantically link tags and entities to articles, injecting content all over the website with context-rich information that could talk t...

240TeraWatts and counting. Mobile network infrastructures are consuming a significant portion of the world’s energy. This is the story of GEORG GEIGER who as the head of NOKIAs mobile network software supply-chain identified knowledge graphs as a means for the automation of his business …. and en...

TellFinder is a counter human trafficking application with origins in a DARPA R&D project that is nearing 10 years of active deployment with various agencies. Based on a knowledge graph-like structure extracted from enriched adult service ads, we have learned from numerous unique challenges over ...

A multi-model database allows multiple data representations to coexist in the same instance. In simpler times, that meant two models -- such as document and graph -- in one. In this presentation, I tackle the multi-model dream of tomorrow: a single model with data spanning many and various databa...

"Sustainability and any kind of ESG related topics also present several challenges and opportunities in the area of sustainability reporting and auditing. Reasons for this may be the lack of a central database, but also the difficulties in the technical evaluation of this data. For this reason, w...

Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will present how Knowledge Graph technologies are increasingly being developed and leveraged in academia and industry to tackle complex data integration challenges in life sciences and healthcare. I wil...

While 2.5 quintillion bytes of data were produced every day in 2021, this number is expected to grow exponentially in the coming years. With the constantly increasing flow of data, organisations, particularly those in the Global South, are struggling to process, structure, use, and share the data...

Signals are emerging pieces of information relevant to a given context and offer potential for strategic advantage in a multitude of domains. However, sorting the signal from noise on large textual data is a very tedious process for humans. We introduce a scalable approach that extracts signals f...

This talk will be about understanding graph technology as a solution to detect transitive relationships between indicators of fraud, and help uncover new networks of fraudsters before they scale. We will talk about building an in house ecosystem that stores fraud events as graph data and emits gr...

Web APIs have become a de-facto standard to enable HTTP-based access to machine-processable data. In this talk, I will present the SPARQL micro-service architecture, a lightweight approach that bridges web APIs and RDF knowledge graphs by making it possible to enforce a uniform data model over mu...

Knowledge Graphs (KGs) are often generated automatically or manually which lead to KGs being in complete. Recent years have witnessed many studies on link prediction using KG embeddings which is one of the mainstream tasks in KG completion. Most of the existing methods learn the latent representa...

Machine-mediated interactions on the Web call for different approaches towards marketing communication and its artifacts: content and data objects. Linked Data and Content Now! is about the potential and real use of schema.org for marketing communication on the Web. In this talk you will learn ho...

There’s been growing discussion recently concerning “content graphs” that utilize graph relationships to manage content for online publication. Some have observed the similarities between knowledge graphs and headless content management and have sought to combine these approaches. Yet how compati...