Characterizing diagnoses and systems
Artificial Intelligence
Continuous queries over data streams
ACM SIGMOD Record
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
A native extension of SQL for mining data streams
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Complexity of Subsumption in the EL Family of Description Logics: Acyclic and Cyclic TBoxes
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
F--a model of events based on the foundational ontology dolce+DnS ultralight
Proceedings of the fifth international conference on Knowledge capture
Abductive matchmaking using description logics
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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
IBM infosphere streams for scalable, real-time, intelligent transportation services
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Optimising ontology stream reasoning with truth maintenance system
Proceedings of the 20th ACM international conference on Information and knowledge management
Semantic Traffic-Aware Routing Using the LarKC Platform
IEEE Internet Computing
Reasoning with multi-version ontologies: a temporal logic approach
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Publishing and linking transport data on the web: extended version
Proceedings of the First International Workshop on Open Data
Proceedings of the 2013 international conference on Intelligent user interfaces
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Diagnosis, or the method to connect causes to its effects, is an important reasoning task for obtaining insight on cities and reaching the concept of sustainable and smarter cities that is envisioned nowadays. This paper, focusing on transportation and its road traffic, presents how road traffic congestions can be detected and diagnosed in quasi real-time. We adapt pure Artificial Intelligence diagnosis techniques to fully exploit knowledge which is captured through relevant semantics-augmented stream and static data from various domains. Our prototype of semantic-aware diagnosis of road traffic congestions, experimented in Dublin Ireland, works efficiently with large, heterogeneous information sources and delivers value-added services to citizens and city managers in quasi real-time.