Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Abstract. We discuss a case study for the hospital scenario where workflow model components are distributed across various computers or devices (e.g. mobile phones, PDAs, sensors, ...
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
Two main Rights Expression Languages (RELs) exist to describe licenses governing the access to digital content: ODRL (Open Digital Rights Language) and MPEG-21 REL. Both RELs are ...
The quality of a programming language itself is only one component in the ability of application writers to get the job done. Programming languages can succeed or fail based on th...