Object-oriented modeling and design
Object-oriented modeling and design
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
Capturing the Uncertainty of Moving-Object Representations
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
DBGlobe: a service-oriented P2P system for global computing
ACM SIGMOD Record
CanCore: Best Practices for Learning Object Metadata in Ubiquitous Computing Environments
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
DAIMON: data integration for a mobile network
Proceedings of the 4th ACM international workshop on Data engineering for wireless and mobile access
Services-based data management in a global computing environment
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
An ontology-based spatio-temporal data model and query language for use in GIS-type applications
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Data semantics in location-based services
Journal on Data Semantics III
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Emerging computational paradigms such as global and ubiquitous computing require some rethinking and innovative research ideas in many computer science areas. In this work, we aim at studying a mobile computing scenario from the database perspective. Given a global computing environment in which data is kept in a number of small-scale, data-charged, mobile devices that use, e.g., wireless networks, for communication, we want to assess the overall data scenario. We use an example to abstract the requirements to such a computing environment and to outline the various existing types of data. Included here are some metadata proposals related to the actual data stored in the device (content data) as well as to the data necessary to the functioning of the device within the computing environment (profile data). The metadata proposals are based on well-known languages and tools such as XML, RDF, UML, and ontologies.