Graph data modeling and querying arises in many practical application domains such as
social and biological networks where the primary focus is on concepts and their …

Many traditional and new business applications work with inherently graphstructured data
and therefore benefit from graph abstractions and operations provided in the data …

This paper contributes an argumentation line for how technological features of ontologies
lead to benefits for enterprise applications. Although many features are also available in …

In a System Engineering perspective, asset management (AM) is related to a subset of
techniques focusing on the in-service phase, aligned with product life-cycle management …

Graph databases provide schema-flexible storage and support complex, expressive queries.
However, the flexibility and expressiveness in these queries come at additional costs …

Integrating data from geographically diverse non-SAP systems into SAP HANA presents
numerous challenges and opportunities for organizations seeking to use data management …

Graph-structured data is ubiquitous and with the advent of social networking platforms has
recently seen a significant increase in popularity amongst researchers. However, also many …

Disclosed herein are system, method, and computer program product embodiments for
performing ad-hoc analytical que ries of graph data. An embodiment operates by receiving a …

Graphs have become an ubiquitous type of data, increasing the desire and need to perform
analytics on graph data. In this article, we review the fundamental concepts that form the …

The sheer volume as well as the schema complexity of today's graph databases impede the
users in formulating queries against these databases and often cause queries to “fail” by …