OrdRing 2013 - 2nd International Workshop on Ordering and Reasoning (OrdRing 2013)

More and more applications require real-time processing of massive, dynamically generated, ordered data; where order is often an essential factor reflecting recency, proximity or relevance. Stream and rank-aware data management techniques are progressively providing reactive and reliable query answering over such massive datasets, allowing integration of highly dynamic sources. Key to their success is the use of streaming algorithms that harness the natural or enforceable orders in the data. The expressive power of Semantic technologies is needed in those applications, but Semantic Technologies risk being unable to address the needs of those applications, because they do not consider ordering as an essential property. Ranking results is often seen as an “added task”, performed after inference, without affecting the inference process, which is order-agnostic.
However, we perceive a trend towards order-aware semantic technologies: both researchers and practitioners understand that order matters in reasoning over massive and highly dynamic data. The idea of Stream Reasoning is gaining considerable momentum. Some top-k query answering techniques for Linked Data appeared. Several works are considering SPARQL query answering on RDF annotated with labels partially ordered. The Description Logic community is investigating top-k ontological query answering.
We propose to organize this workshop in order to bring together this growing and very active community interested in integrating ordering with reasoning by using methods inspired by stream and rank-aware data management. We see this workshop as a first step to stimulate and guide a paradigm shift in semantic technologies.
TOPICS OF INTEREST
Topics include, but not limited to:
Inferencing with streaming algorithms
Ontological query answering over highly dynamic data
Incremental maintenance of materialization of highly dynamic data
Ontological top-k query answering over massive ordered data
A top-k query answering for fuzzy logics
Continuous query answering for fuzzy logics
Knowledge Representation for ordered facts
Applications of stream reasoning and top-k ontological query answering
Role of parallelization and distribution in order-aware semantic technologies
Harvesting and combining orders in data
Approximation approaches to inference with orderings
Proposals for and applications of benchmarks
Implementation and evaluation experiences