Knowledge Graphs

Tuesday, September 10, 2019 - 16:00 to 17:30
Olaf Hartig


Knowledge Graph Exploration: A Usability Evaluation of Query Builders for Laypeople

SPARQL enables users to access and browse knowledge graphs in a precise way. However, using SPARQL requires knowledge that many casual users lack. To counter this, specific tools have been created that enable more casual users to browse and query results. This paper evaluates and compares the most prominent techniques, QueryVOWL, SPARKLIS and the Wikidata Query Service (WQS), through a usability evaluation, using a mixed-method evaluation based on usability metrics and heuristics, containing both quantitative and qualitative data.

Automatic Facet Generation and Selection over Knowledge Graphs

With the continuous growth of the Linked Data Cloud, adequate methods to efficiently explore semantic data are increasingly required.Faceted browsing is an established technique for exploratory search.Users are given an overview of a collection's attributes that can be used to progressively refine their filter criteria and delve into the data.However, manual facet predefinition is often inappropriate for at least three reasons:Firstly, heterogeneous and large scale knowledge graphs offer a huge number of possible facets.Choosing among them may be virtually impossible without algorithmic sup

"Working effectively with Enterprise Knowledge Graphs in C# - Trinity at Schneider Electric "

Introducing knowledge graphs and linked data in a project can be a challenging task and educating a team of developers is often time consuming. Although the adoption rate of these technologies is picking up, engineers are still often not familiar with RDF or SPARQL, so it is necessary to pick the right tools to get them acquainted during the development process. In this talk we want to show how our C# library, Trinity, can be used to produce and consume linked data without deep knowledge of semantic web technologies.