Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
On computing correlated aggregates over continual data streams
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Promptdiff: a fixed-point algorithm for comparing ontology versions
Eighteenth national conference on Artificial intelligence
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Mining concept-drifting data streams using ensemble classifiers
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Inducing Multi-Level Association Rules from Multiple Relations
Machine Learning
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Streaming pattern discovery in multiple time-series
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Interestingness measures for data mining: A survey
ACM Computing Surveys (CSUR)
Ontology reasoning in the SHOQ(D) description logic
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
It's a Streaming World! Reasoning upon Rapidly Changing Information
IEEE Intelligent Systems
Web Semantics: Science, Services and Agents on the World Wide Web
Kernel methods for mining instance data in ontologies
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
IBM infosphere streams for scalable, real-time, intelligent transportation services
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Enabling ontology-based access to streaming data sources
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Optimising ontology stream reasoning with truth maintenance system
Proceedings of the 20th ACM international conference on Information and knowledge management
Reasoning with multi-version ontologies: a temporal logic approach
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
The summary abox: cutting ontologies down to size
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
OntoWiki – a tool for social, semantic collaboration
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
CEL: a polynomial-time reasoner for life science ontologies
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
TrOWL: tractable OWL 2 reasoning infrastructure
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Ontology Matching: State of the Art and Future Challenges
IEEE Transactions on Knowledge and Data Engineering
STAR-CITY: semantic traffic analytics and reasoning for CITY
Proceedings of the 19th international conference on Intelligent User Interfaces
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Recently, ontology stream reasoning has been introduced as a multidisciplinary approach, merging synergies from Artificial Intelligence, Database, World-Wide-Web to reason on semantic augmented data streams. Although knowledge evolution and real-time reasoning have been largely addressed in ontology streams, the challenge of predicting its future (or missing) knowledge remains open and yet unexplored. We tackle predictive reasoning as a correlation and interpretation of past semantics-augmented data over exogenous ontology streams. Consistent predictions are constructed as Description Logics entailments by selecting and applying relevant cross-streams association rules. The experiments have shown accurate prediction with real and live stream data from Dublin City in Ireland.