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...
Entity search, a significant departure from page-based retrieval, finds data, i.e., entities, embedded in documents directly and holistically across the whole collection. This pap...
Detecting emerging problems in information and manufacturing systems is the goal of monitoring tools. Good and timely detection of problematic conditions from measured indicators ...
So far, data warehousing has often been discussed in the light of complex OLAP queries and as reporting facility for operative data. We argue that business planning as a means to ...
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts ha...
Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol,...
As the use of derived information has grown in recent years, the importance of provenance has been recognized, and there has been a great deal of effort devoted to developing tec...
With more and more social network data being released, protecting the sensitive information within social networks from leakage has become an important concern of publishers. Adve...
Secure data sharing in multi-party environments requires that both authenticity and confidentiality of the data be assured. Digital signature schemes are commonly employed for au...
In adaptive query processing, the way in which a query is evaluated is changed in the light of feedback obtained from the environment during query evaluation. Such feedback may, f...
Kwanchai Eurviriyanukul, Norman W. Paton, Alvaro A...