A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Maintaining knowledge about temporal intervals
Communications of the ACM
Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor
Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor
Semantic Granularity in Ontology-Driven Geographic Information Systems
Annals of Mathematics and Artificial Intelligence
Modeling Moving Objects over Multiple Granularities
Annals of Mathematics and Artificial Intelligence
An ontology of time for the semantic web
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
Proceedings of the 15th international conference on World Wide Web
Analyzing theme, space, and time: an ontology-based approach
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
IEEE Transactions on Knowledge and Data Engineering
BioPatentMiner: an information retrieval system for biomedical patents
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
A framework for visualization and exploration of events
Information Visualization
Applications of the ACGT Master Ontology on Cancer
OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
A framework to support spatial, temporal and thematic analytics over semantic web data
A framework to support spatial, temporal and thematic analytics over semantic web data
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Health monitoring and disease surveillance systems can benefit from the integration of multiple data sources and semantic web technologies. The development and management of exposure histories is one particular area that requires integration of data from multiple sources. Exposure histories capture the spatial and temporal dimensions of possible disease exposure events and convey the dynamic factors within individuals' environments. Data sources for an exposure history might include numerous governmental, institutional and community records which document people's relationships with various locations. Existing monitoring networks and new wireless sensor networks also provide data on toxic agents in the environment. This paper describes the development of an ontology for a personal exposure history (PEH) that specifies explicit relationships between persons and locations and locations and putative environmental toxic agents. These relationships provide a foundation for making inferences about person to putative toxic exposure relationships. The PEH ontology defines a framework of concepts and relationships on which to integrate data from heterogeneous sources. The ontology does not capture a complete exposure profile as yet, but represents key spatial and temporal concepts and demonstrates how these can be queried using current semantic web technologies.