Evolutionary Linguistics is the study of the origins and the development of human language. Although most human languages differ substantially in the details they share a lot of general structure.
Semantic Web technologies facilitate Web data integration in an unprecedented manner. First, they are able to create a global knowledge base out of Web data sets which may have been defined in heterogeneous contexts and published in distributed locations.
Formal Concept Analysis (FCA) is a method that allows to identify concepts and their interrelationships in a well understood and formally sound way. Based on that, so called Iceberg Concept Lattices, introduced in the early 2000s, represent conceptual knowledge that is best supported in the data given a certain minimum support threshold.
The way in which companies benefit from open source software (OSS) communities varies and corresponds with the business strategy they maintain. One way of establishing influence in OSS communities is by deploying own resources to an OSS project.
Ontology debugging helps ontology engineers to find modelling errors in ontology. Most debugging methods relies on finding Minimal Unsatisfiability Preserving Sets (MUPS) inside an ontology.
Profiling applications are omnipresent in today's online life: product recommendations in online shops, personalised search platforms etc. Often, however, profiling systems fail to model the complexity of user interests and preferences in all their depth.
In this talk, I present recent work about algebraic measures of conflict in signed social networks. Signed networks are used to model conflict conflict in a social network, i.e., either direct negative relationships (represented by individual negative edges), or higher-level structures of conflict, such as a triangle consisting of two positive edges and one negative edge (I hate the friend of my friend.)
I will review the First International Competition on Computational Models of Argumentation (ICMMA’15) which evaluated submitted solvers performance on four different computational tasks related to solving abstract argumentation frameworks.
Graphs of social networks have reached sizes of billions of edges. The scale of these graphs poses challenges in their analysis. Most graph algorithms are data driven and memory-based approaches usually do not scale because of the limit in capacity of single machines.