Order matters!
Emanuele Della Valle, Stefan Schlobach, Markus Krötzsch, Alessandro Bozzon, Stefano Ceri, Ian Horrocks
Order matters! Harnessing a world of orderings for reasoning over massive data
Abstract. More and more applications require real-time processing of massive, dynamically generated, ordered data; order is an essential factor as it reflects recency or relevance. Semantic technologies risk being unable to meet the needs of such applications, as they are not equipped with the appropriate instruments for answering queries over massive, highly dynamic, ordered data sets. In this vision paper, we argue that some data management techniques should be exported to the context of semantic technologies, by integrating ordering with reasoning, and by using methods which are inspired by stream and rank-aware data management. We systematically explore the problem space, and point both to problems which have been successfully approached and to problems which still need fundamental research, in an attempt to stimulate and guide a paradigm shift in semantic technologies.
Published at Semantic Web Journal (Journal paper)
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Citation details
- Emanuele Della Valle, Stefan Schlobach, Markus Krötzsch, Alessandro Bozzon, Stefano Ceri, Ian Horrocks. Order matters! Harnessing a world of orderings for reasoning over massive data. In Semantic Web Journal 4(2), pp. 219–231. IOS PressProperty "Publisher" has a restricted application area and cannot be used as annotation property by a user. 2013.
author = {Emanuele {Della Valle} and Stefan Schlobach and
Markus Kr{\"o}tzsch and Alessandro Bozzon and
Stefano Ceri and Ian Horrocks},
title = {Order matters! {Harnessing} a world of orderings
for reasoning over massive data},
journal = {Semantics Web},
volume = {4},
number = {2},
pages = {219--231},
year = {2013}
}
