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.
Michael van Bekkum
AI Knowledge Graphs (AI KGs) are realizations of Linked Enterprise Data, creating valuable business insights by bringing together semantic technologies and enterprise data infrastructures. These Knowledge Graphs go beyond data integration: the semantics underlying these next generation AI applications provide machines with the advantage of understanding the meaning of large data volumes.
Today’s market is flooded with Natural Language Processing (NLP) tools that allow for an easy extraction of sentiment information from raw text. Whereas these could be a good start to explore the kind of richness that sentiment analysis can bring to the table, much more is needed in order to do this at a level where real actionable insights come out of the raw data.
Kathryn LeeStefan Piruzevski
The Canadian Broadcasting Corporation (CBC) has evolved from using disparate systems for managing content and ontologies to focusing on data integration and quality management.
In addition to implementing technological improvements, CBC also focused on breaking down silos in order to socialize semantic concepts across the organization.
Slovpedia (lod.slovpedia.com) is a database that contains linked open data acquired and processed from various slovakian public open data sources. It is possible to search for a company, public service, place or any other entity and then explore its properties and relationships. Slovpedia provides text search as well as visual graph based search.
This paper describes the creation of an RDF ontology designed to sup-port information retrieval needs of journalists and media professionals.
Analyzing diverse data from multiple sources evokes intelligence - the ability to acquire and apply knowledge and skills - and reasoning is of the skills we need to make sense of the world around us.