Vandalism, environmental pollution or other damage to community property are among the daily problems, local communities have to deal with. In some countries governments use their residents to take on these problems.
Quite often, Linked Open Data (LOD) applications pre-fetch data from the Web and store local copies of it in a cache for faster access at runtime. Yet, recent investigations have shown that data published and interlinked on the LOD cloud is subject to frequent changes. As the data in the cloud changes, local copies of the data need to be updated.
Today as ontologies play a main role in establishing semantic web, many ontologies have been developed to model real world concepts and relations between them. Due to modeling errors occurred in designing ontologies, an ontology may carry wrong knowledge.
Ziel dieser Bachelorarbeit ist es, das Diskussionsverhalten der Nutzer der Wikipedia zu erforschen. Dabei werden drei Aspekte untersucht: soziale Faktoren, kollaborative Faktoren und semantische Faktoren.
In geographic information systems (GIS), heterogenous data can be seen as a major obstacle for a project-oriented integration. Usually data has to be integrated into a single system and conversion mechanisms have to be implemented.
News feed platforms, such as Facebook and Twitter, are growing continuously. Their primary requirements are scalability, low request latencies and high availability  for read and write requests. This requires to scale out the system to multiple machines . STOU and Graphity were reported as high performant algorithms to power a news feed system.
The aim of this thesis is to improve and benchmark Lare - A new technology for stateful single-page applications. Lare is a front- and backend technology, devel- oped to easily improve web sites with the use of AJAX but without the disadvan- tages of it regarding browser functionality, SEO and user experience.
Next word prediction is the task of guessing the next word a user intends to type from the words they have already entered. Traditionally this problem is solved by calculating an argmax of language model probabilities for all words in a vocabulary.
In the last years, crowdsourcing has become a popular technique for evaluating systems, as well as for cleansing, enhancing and labeling data. While there are many success stories both in research and industry, there are still many challenges to overcome.
We look at a very popular construct in probabilistic modelling: the Dirichlet process (DP). Starting with the Chinese restaurant metaphor, we see how context can be modelled using DPs and understand some of the underlying assumptions.