Spatio-temporal data access for information-based decision making

R. Ladner, E. Warner, F. Petry
2003 Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)  
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more » ... rectorate for Information Operations and Reports (0704-0188). 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be award that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a cun-ently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) 028 ABSTRACT Supporting large volumes of multi-dimensional data is an inherent characteristic of modem database applications, such as Geographical Information Systems (GIS), and Image and Multimedia Databases. Such databases need underlying systems with extended features like query languages, data models, and indexing methods, as compared to traditional databases, mainly because of the complexity of representing and retrieving data. In particular, spatio-temporal information systems must efficiently store and access potentially very large quantities of spatial and temporal data so we have developed index stnjctures that can capture the time varying nature of moving objects, namely spatio-temporal structures. This paper describes the design of a query system for such data. 15. SUBJECT TERMS multi-dimensional data, query languages, data models, and indexing methods 16. SECURITY CLASSIFICATION OF: a. REPORT b. ABSTRACT c. THIS PAGE unclassified unclassified unclassified 17. LIMITATION OF ABSTRACT Unlimited 18. NUMBER OF PAGES 19a NAME OF RESPONSIBLE PERSON Roy Ladner 19b. TELEPHONE NUMBER (Include area code) 228-688-4679 Standard Form 298 (Rev. 8/98) Abstract -Supporting large volumes of multidimensional data is an inherent characteristic of modern database applications, such as Geographical Information Systems (GIS), and Image and Multimedia Databases. Such databases need underlying systems with extended features like query languages, data models, and indexing methods, as compared to traditional databases, mainly because of the complexity of representing and retrieving data. In particular, spatio-temporal information systems must efficiently store and access potentially very large quantities of spatial and temporal data so we have developed index structures that can capture the time varying nature of moving objects, namely spatiotemporal structures. This paper describes the design of a query system for such data.
doi:10.1109/oceans.2003.178477 fatcat:lfz4arjfnzcnpbmofaif7btg4q