Challenges in Linked Stream Data Processing: A Position Paper

Danh Le Phuoc, Josiane Xavier Parreira, Manfred Hauswirth
2010 International Semantic Web Conference  
Recently, there has been efforts in lifting the content produced by stream sources, e.g. sensors, to a semantic level. In particular, there is ongoing work in representing stream data following the standards of Linked Data, creating what it is called Linked Stream Data. The advantages of Linked Stream Data are manyfold: adding semantics allows the search and exploration of sensor data without any prior knowledge of the data source, and using the principles of Linked Data facilitates the
more » ... ion of stream data to the increasing number of data collections that form the Linked Open Data cloud, enabling a new range of applications. However, the highly dynamic and temporal nature of Linked Stream Data poses many challenges in making Linked Stream Data a reality that users and applications can benefit from. In this position paper we address the challenges in Linked Stream Data processing. We will focus on data representation and storage, query model and query processing, highlighting the main differences compared to Linked Data processing and looking at the approaches that currently address these challenges, showing what has been done and what is still needed, suggesting ideas for future research.
dblp:conf/semweb/PhuocPH10 fatcat:g27poknhdffatocz2rer43b44y