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The constant growth of available RDF data requires fast and efficient querying facilities of graph data. So far, such data sets have been stored by using mapping techniques from graph structures to relational models, secondary memory structures or even complex main memory based models. We present the main memory database SpiderStore which is capable of(More)
Online social networks like Facebook or Twitter have become powerful information diffusion platforms as they have attracted hundreds of millions of users. The possibility of reaching millions of users within these networks not only attracted standard users, but also cyber-criminals who abuse the networks by spreading spam. This is accomplished by either(More)
Twitter is the largest source of public opinion and also contains a vast amount of information about its users' music favors or listening behaviour. However, this source has not been exploited for the recommendation of music yet. In this paper, we present how Twitter can be facilitated for the creation of a data set upon which music recommendations can be(More)
Microblogging applications such as Twitter are experiencing tremendous success. Microblog users utilize hashtags to categorize posted messages which aim at bringing order to the myriads of microblog messages. However, the percentage of messages incorporating hashtags is small and the used hashtags are very heterogeneous as hashtags may be chosen freely and(More)
Knowledge is structured - until it is stored to a wiki-like information system. In this paper we present the multi-user system <i>SnoopyDB</i>, which preserves the structure of knowledge without restricting the type or schema of inserted information. A self-learning schema system and recommendation engine support the user during the process of inserting(More)
The ever increasing amount of linked open data results in a demand for high performance graph databases. In this paper we therefore introduce a memory layout which is tailored to the storage of large RDF data sets in main memory. We present the memory layout SpiderStore. This layout features a node centric design which is in contrast to the prevailing(More)
The extraction of information from online social networks has become popular in both industry and academia as these data sources allow for innovative applications. However, in the area of music recommender systems and music information retrieval, respective data is hardly exploited. In this paper, we present the #nowplaying dataset, which leverages social(More)
In this paper, we present a dataset based on publicly available information. It contains listening histories of Spotify users, who posted what they are listening at the moment on the micro blogging platform Twitter. The dataset was derived using the Twitter Streaming API and is updated regularly. To show an application of this dataset, we implement and(More)