Property graphs are a common form of linked data, with path queries used to traverse and
explore them for enterprise transactions and mining. Temporal property graphs are a recent …

The unprecedented amount of data that needs to be processed in emerging data analytics
applications poses novel challenges to industry and academia. Scalability and high …

Property graphs are a common form of linked data, with path queries used to traverse and
explore them for enterprise transactions and mining. Temporal property graphs are a recent …

Pattern matching is a fundamental tool for answering complex graph queries. Unfortunately,
existing solutions have limited capabilities: They do not scale to process large graphs and/or …

Today software is built in fundamentally different ways from how it was a decade ago. It is
increasingly common for applications to be assembled out of open-source components …

Graphs represent an increasingly popular data model for data-analytics, since they can
naturally represent relationships and interactions between entities. Relational databases …

Big Data as expressed as" Big Graphs" are growing in importance. Looking forward, there is
also increasing interest in streaming versions of the associated analytics. This paper …

Economic competitiveness and national security depend increasingly on the insightful
analysis of large data sets. The diversity of real-world data sources and analytic workflows …

Nowadays, the increased amount and complexity of connected data stimulated by the
appearance of social networks has shed a new light on the importance of managing such …

The RFID and sensor network based ubiquitous computing has great potential in medical
and healthcare services. Most of medical accidents around patients are depended on …