Manually selecting subsets of photos from large collections in order to present them to friends or colleagues or to print them as photo books can be a tedious task.
KONECT (The Koblenz Network Collection) ist ein Projekt, das verschiedene Netzwerkdatensätze sammelt und mit Werkzeugen der Netzwerkanalyse Netzwerkstatistiken berechnet, repräsentative Diagramme darstellt, und verschiedene Linkvorhersagealgorithmen implementiert.
We introduce an algorithm currently studied by us for relationship query over large relationship graphs, which can be considered from algorithmic point of view as a Steiner Tree problem. The algorithm runs in two phases. In the first phase, it tries to quickly build a first tree that interconnects all nodes from a graph.
We introduce an algorithm for generating graphs that reproduces properties of input graphs to a very high precision, using as information only six subgraph counts.
In our current ICWSM submission we investigated temporal patterns of change in linked knowledge bases. In today's connected world of social media, linked knowledge bases such as Wikipedia play a fundamental role.
Tweety is an open source project for scientific experimentation on logical aspects of artificial intelligence and particularly knowledge representation.
GIS or CAD systems are able to handle precise coordinates (x,y,z). Historical texts with descriptions of rooms or buildings do not use them, but other concepts, such as "Object A is on the opposite wall of object B", "Object C has a height of 2m.
Motivating contributors is an important task for owners of online communities. Literature provides multiple suggestions to motivate users to increase content contribution.
Nowadays, large collections of photos are tagged with GPS coordinates. The modelling of such large geo-tagged corpora is an important problem in data mining and information retrieval, and involves the use of geographical information to detect topics with a spatial component.
In the same way that we publish a corporate Website to describe who we are and the work we carry out, it is important to publish RDF descriptions about WeST on the Web of Data.