We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and
events are anchored in both time and space. YAGO2 is built automatically from Wikipedia …

Pervasive and sensor-driven systems are by nature open and extensible, both in terms of
input and tasks they are required to perform. Data streams coming from sensors are …

Over the years, a large amount of temporal data needs to be shared and exchanged on the
Web. Resource Description Framework (RDF) has been widely accepted and has rapidly …

We present a distributed graph database system to manage historical data for large evolving
information networks, with the goal to enable temporal and evolutionary queries and …

Many applications operate on time-“sensitive” data. Some of these data are only valid for
certain intervals (eg, job-assignments, versions of software code), others describe temporal …

There are major trends to advance the functionality of search engines to a more expressive
semantic level. This is enabled by the advent of knowledge-sharing communities such as …

RDF and SPARQL are established standards for data interchange and querying on the Web.
While they have been shown to be useful and applicable in many scenarios, they are not …

The RDF data model is gaining importance for applications in computational biology,
knowledge sharing, and social communities. Recent work on RDF engines has focused on …

We describe a generic framework for representing and reasoning with annotated Semantic
Web data, a task becoming more important with the recent increased amount of inconsistent …

Abstract Knowledge graphs (KGs) are usually incomplete—many new facts can be inferred
from KGs with existing information. In some traditional reasoning methods, temporal …