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.
Vienna University of Economics and Business
http://www.wu.ac.at/infobiz/en/
Dr. Javier D. Fernández is a post-doctoral research fellow at Vienna University of Economics and Business (WU). His current research focuses on efficient management of Big Semantic Data, privacy-aware Big Data technologies and archiving and querying dynamic Linked Data.
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
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.
Co-Founder
Semiodesk
http://www.semiodesk.com/
Sebastian Faubel started his professional career as a freelance programmer and consultant in 1998. He has studied Computer Science at the Georg-Simon-Ohm University of Applied Sciences in Nuremberg, where he graduated in 2008 and received the ‘Best Student and Demonstration Award’ for his diploma thesis at the International Semantic Web Conference in the same year.
