It's unquestionable that Knowledge Graph and semantics have arrived. Tech analysts agree that all enterprise metadata is inherently a semantic graph; data lake and lakehouse vendors are partnering with semantic layer vendors; startups are servicing enterprise customers; and global tech consulting...

Presented by: Sara Duane & Sara Nash
Content personalization and recommendation engines are pervasive in today’s society. They power some of our most used platforms–including Amazon, Spotify, Netflix, and more. However, many organizations struggle to provide their employees and customers with the...

It is well known that work in AI fails to implement diverse viewpoints and generalize requirements adequately. Results are often unreliable, inaccurate and biased. The scope of this issue has only been magnified as LLMs have gained prominence and we need to be concerned about the trajectory of ho...

The Artificial Intelligence landscape is changing at an unprecedented pace. Powerful AI tools and services have amazed both the general public as well as many seasoned AI researchers. Like all technologies, however, challenges remain. Many remaining challenges for large language models and gen...

In this talk, we present the SustainGraph, as a Knowledge Graph that is developed within the framework of the ARSINOE Horizon Europe project to track information related to the progress towards the achievement of targets defined in the United Nations Sustainable Development Goals (SDGs) at nation...

Turning dross into gold. Knowledge graphs, with their capacity for surfacing vast hidden networks, can help detect looted art from the ownership history - or provenance - of artworks. The cultural heritage sector and art industry have explored named entity recognition with an event-based approach...

Business application developers put a wealth of business knowledge into their code. Too often, aside from executing, that information is left untapped for knowledge purposes. In fact, well-designed code is ripe with valuable information that can be extracted directly from the code for use in a va...

QAnswer: Question Answering over Knowledge Graphs and Text

As industries grapple with the need and various approaches to implementing Digital Transformation, a shift in thinking about data technology and data culture within organizations is required to realize its full potential. Knowledge graph technology presents an emerging approach to manage and inte...

The talk focuses on the use of large language models (LLMs) for generative AI, and how incorporating symbolic knowledge (attributes from a knowledge graph of an eCommerce website) can improve the accuracy and usefulness of generated content.

Large enterprises maintain a multitude of data assets pertaining to their businesses. It’s arduous for engineers and data scientists to not only find the information they need, but also to ensure it’s accurate and up to date. This can lead up to data duplication, misuse of assets, and conflicting...

Exploring the Power of Content Knowledge Graphs will explore the potential of using structured data to improve the way we organize and access information. The talk will introduce the concept of knowledge graphs and discuss their potential benefits for both content creators and consumers. It will ...

In this talk, we explores how such hierarchical ontological components in knowledge graphs are incorporated into KG representation learning. We present multiple practical machine learning methods, such as hierarchical graph modeling, graph neural networks, self-supervised learning, and language m...

The maturing of the knowledge graph use cases leads to the sophistication of the requirements. Despite vendor promises, a single product can rarely cover all capabilities for all knowledge graph applications.
In this presentation, we will discuss our experience in implementing production systems ...

This talk will look at Knowledge Graphs in publishing and broadcast media. Where have things moved on since pioneering projects using Linked Data? Have knowledge graphs significantly changed the landscape? We explore the topic through a set of case studies looking at how knowledge graphs are chan...

Tired of wondering why your critical business numbers don’t match? Overhead of propagating data knowledge in your organization getting you down? Hear from dbt Labs Director (Data & Community) Anna Filippova on how to apply a knowledge graph approach to managing data in an organization to help you...

Natural language search over a knowledge graph presents unique challenges as the entities of a knowledge graph differ in structure compared to traditional documents. In this talk, we discuss methods of implementing natural language search over entity space within a knowledge graph using such tech...

We present a novel approach for learning embeddings of concepts from knowledge bases expressed in the ALC description logic. They reflect the semantics in such a way that it is possible to compute an embedding of a complex concept from the embeddings of its parts by using appropriate neural const...

Many industries store vast amounts of information as natural language. Current methods for composing this text into knowledge graphs parse a small set of relations from within a larger document. The author's specific diction is approximated by the vocabulary of the model. In domains where precise...

We started our Knowledge Graph journey with a content knowledge graph that helps us unify and connect various media types for our multi-purpose streaming platform (RTL+). We include media, entities & enriched metadata from Movies, Series, Music, Podcasts and Audiobooks. But we soon realised that ...

Benn Stancil | Mode Co-founder + CTO Officer

Significant portions of the data generated in enterprises are unstructured and text-based. This can span the entire product lifecycle, from early research to post-launch analysis. A major challenge for companies is managing these vast amounts of text data and extracting hidden and valuable inform...

How to build a Decentralised Knowledge Graph (or a Linked Data Mesh) that will allow an organisation to connect most (theoretically all) of its data together.