Improving Practical Reasoning on top of SPARQL
Published in: Doctoral Consortium of the International Conference on Web Reasoning and Rule Systems
2015
Abstract
Reasoning techniques are not well received by the developer community. One reason is the cost of providing sparql endpoints with enabled reasoning. Another reason is the missing support for reasoning on numbers, which is needed for tasks such as data analytics. An important aspect of the second problem is the high number of missing values that inherently occur when integrating data on a global scale. In this work we propose two approaches to improving the situation for both problems by first developing the necessary techniques as well as prototypical applications based on query rewriting and a practical evaluation.