Industry

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.

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.

CHANCELED

This presentation shows the application of semantic technologies to company internal data sets. We are calling our approach “semantic roundtripping”. There are four specific aspects of this approach. First, we focus on semantic processing of XML data sets, using format preserving enrichment. Second, we are careful not to break existing XML based workflows.

Recommender Systems (RS) have taken the center place in contemporary e-commerce marketplaces. And RS guides customers towards such items that best meet their preferences and requirements. Although there are many RS techniques including content-based, collaborative filtering, knowledge based etc., each technique has some downsides such as data sparsity, cold-start problem, scalability etc.

Engineering and production in aviation inherently have a disproportionally high documentation requirement – both regarding quantity and quality. Technical writers need software support for the integration of (references to) preexisting textual documents and structured data, e.g. CAD drawings and FEM data from engineering.