
Knowledge Graphs have become a popular trend in the representation of complex data, metadata and content. Search and graph exploration are key tools for successfully utilizing knowledge graphs.
In this talk we will explain why graph path search is a computationally expensive task and will present our graph path search implementation. We will compare how the different RDF and property graph databases implement it and will dive into how GraphDB extends the SPARQL 1.1 standard to fully support all significant graph path search use cases.