SAOR: template rule optimisations for distributed reasoning over 1 billion linked data triples
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Ontology alignment for linked open data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
What's happening in semantic web: and what FCA could have to do with it
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Scalable OWL 2 reasoning for linked data
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Inductive learning of disjointness axioms
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
Factorizing YAGO: scalable machine learning for linked data
Proceedings of the 21st international conference on World Wide Web
Knowledge continuous integration process (K-CIP)
Proceedings of the 21st international conference companion on World Wide Web
Malleability-Aware skyline computation on linked open data
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
Key ingredients for your next semantics elevator talk
ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
Analysing the Use of Ontologies Based on Usage Network
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
The digital earth as knowledge engine
Semantic Web
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
The Digital Earth as knowledge engine
Semantic Web
Geospatial semantics and linked spatiotemporal data --Past, present, and future
Semantic Web - On linked spatiotemporal data and geo-ontologies
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The realization of Semantic Web reasoning is central to substantiating the Semantic Web vision. However, current mainstream research on this topic faces serious challenges, which forces us to question established lines of research and to rethink the underlying approaches. We argue that reasoning for the Semantic Web should be understood as “shared inference,” which is not necessarily based on deductive methods. Model-theoretic semantics (and sound and complete reasoning based on it) functions as a gold standard, but applications dealing with large-scale and noisy data usually cannot afford the required runtimes. Approximate methods, including deductive ones, but also approaches based on entirely different methods like machine learning or nature-inspired computing need to be investigated, while quality assurance needs to be done in terms of precision and recall values (as in information retrieval) and not necessarily in terms of soundness and completeness of the underlying algorithms.