Graph databases have gained renewed interest in the last years, due to its applications in
areas such as the Semantic Web and Social Networks Analysis. We study the problem of …

Query languages for graph databases started to be investigated some 25 years ago. With
much current data, such as linked data on the Web and social network data, being graph …

Recent years have seen a great deal of work that exploits collaborative, semi-structured
content for Artificial Intelligence (AI) and Natural Language Processing (NLP). This special …

For many problems arising in the setting of graph querying (such as finding semantic
associations in RDF graphs, exact and approximate pattern matching, sequence alignment …

A knowledge base for real-world language processing applications should consist of a large
base of facts and reasoning mechanisms that combine them to induce novel and more …

Graph data appears in a variety of application domains, and many uses of it, such as
querying, matching, and transforming data, naturally result in incompletely specified graph …

Opportunity and Curiosity find similar rocks on Mars. One can generally understand this
statement if one knows that Opportunity and Curiosity are instances of the class of Mars …

Dynamic content is a frequently accessed part of the Web. However, most information
extraction approaches are batch-oriented, thus not effective for gathering rapidly changing …

Over the past decade, rapid advances in web technologies, coupled with innovative models
of spatial data collection and consumption, have generated a robust growth in geo …

The concept of Internet of Things has silently existed since the late nineteenth century but in
the current decade expectations and excitement has peaked. However not many have …