A story about elephant and poachers. About rangers fighting wildlife crime. And about the role of semantics in all this.
A story also, about how high-tech companies are helping rangers to turn wild spaces into safe havens.
The Legal domain is complex in terms of underlying texts and language, amount of data and frequency of changes. Therefore, the process of designing a legal research solution becomes a more and more challenging task.
I will introduce the concept of 'Semantic AI', which is based on a fusion of NLP, machine learning (ML) and semantic knowledge graphs. We will take a look at two concrete use cases: How to improve ML-based classifiers for legal documents with semantic enrichment.
Smart text mining is a critical and meanwhile established tool in the tool-box of modern law firms. Out of the box mining requires a lot of training of statistic AI algorithms. A semantic layer in law firms’ text mining approach could unlock a huge step forward but requires more work on the user interface. Here is a wish-list to the semantic AI community from a law firm’s perspective.
The European Patent Office (EPO) provides patent protection for inventions in up to 40 European countries on the basis of one single application. The EPO also publishes these patents and make them available to the public in a variety of formats: via online tools, web services or bulk data.
In this talk I will introduce and set a focus on a hybrid approach called ‘Semantic AI’, which makes use of machine learning like most contemporary AI efforts, but in combination with natural language processing and semantic technologies. We will discuss why enterprises need AI Governance, and how Semantic AI differs from other frameworks in this respect.
Joseph HilgerZach Wahl
Enterprise Knowledge is developing a semantic hub for an international development bank that provides content recommendations for the intranet, external website, and as an agent for meeting requests. Learn how we designed this cutting edge solution and the challenges we faced in implementing it.
When approaching semantic content solutions, it’s often tempting to focus on technologies and platforms. This session looks at the interpersonal and business side of optimising content models and use of semantic structures inline (semantic XML) and centrally stored (ontology management).
SANSA is the first open source project that allows out of the box horizontally scalable analytics for large knowledge graphs. The talk will cover the main features of SANSA introducing its different layers namely, RDF, Query, Inference and Machine Learning. The talk also covers a large-scale Etherum blockchain use case at Alethio, a spinoff company of Consensys.