We survey foundational features underlying modern graph query languages. We first
discuss two popular graph data models: edge-labelled graphs, where nodes are connected …

Abstract Visual Question Answering (VQA) is a challenging task that has received increasing
attention from both the computer vision and the natural language processing communities …

Das Buch Semantic Web–Grundlagen vermittelt als erstes deutschsprachiges Lehrbuch die
Grundlagen des Semantic Web in verständlicher Weise. Es ermöglicht einen einfachen und …

With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …

As graph databases become widespread, the International Organization for Standardization
(ISO) and International Electrotechnical Commission (IEC) have approved a project to create …

Visual Question Answering (VQA) has attracted much attention in both computer vision and
natural language processing communities, not least because it offers insight into the …

In pursuit of graph processing performance, the systems community has largely abandoned
general-purpose distributed dataflow frameworks in favor of specialized graph processing …

Many real-world problems deal with collections of high-dimensional data, such as images,
videos, text, and web documents, DNA microarray data, and more. Often, such high …

In this paper we present KnowRob2, a second generation knowledge representation and
reasoning framework for robotic agents. KnowRob2 is an extension and partial redesign of …

More and more data in various formats are integrated into knowledge graphs. However,
there is no overview of existing approaches for generating knowledge graphs from …