An OO database migrates to the Web

Cobb, Maria A.; Foley, Harold; Wilson, Ruth; Chung, Miyi; Shaw, Kevin

doi:10.1109/52.676716

Cited by 14 publications

(10 citation statements)

References 3 publications

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“…The implementation also includes an 00 database management system (ODBMS) integrated with an area-of-interest, web-based query model. Critical stages of the system development are documented in and Cobb et al, 1998b). represents the first time that methods for reasoning under uncertainty have been utilized in a conflation process.…”

Section: Original Conflation Projectmentioning

confidence: 99%

“…Vor Öcai Conflation The objective of the horizontal conflation is to eliminate the spatial feature position and attribute discrepancies that exist in the common area of two sources [64]. The CHAPTER 2.…”

Section: ■Imentioning

confidence: 99%

“…Information Database i'GIDBprototyDe [64]. within which proof-of-concept implementation of this mode: i.-currently being performed, is centered on the concept of spatial range queries, also known as area-of-interest (AOI) queries.…”

Section: O O Omentioning

confidence: 99%

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Object-Oriented Distributed Database Design and Spatial Data Modeling

Cobb¹

2002

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Public Reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comment regarding this burden estimates or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for information Operations and Reports, 1215 Work for this grant enabled the advancement of the state of research for areas of fuzzy spatial data modeling, uncertainty and conflation. Specific published work supported by this grant included a range of topics, including: fuzzy spatial relationship refinements, spatial query interfaces, uncertainty in distributed spatial information systems, spatial relationship querying, distributed spatial object-based systems, spatial indexing, distributed conflation model and issues, and an integrated image change detection/conflation algorithm. Special journal issues co-edited by the grant recipient on "Spatial Data Management," "Uncertainty in Geographic Information Systems and Spatial Data" and "Distributed Object-Oriented Systems" resulted in newly published works from some of the foremost researchers in the area, including Michael Goodchild, Peter Fisher, Hans Guesgen, Douglas Schmidt and others.All publications listed are included in this report package, and the reader is referred to the actual publications for details of the topics listed above. IntroductionThis grant was originally issued for the investigation of state-of-the-art technology component-ware for distributed databases utilizing CORBA, as well as the development of a fuzzy spatial data model to provide a way of handling imprecision and uncertainty in spatial data. Specifically, the grant work was to augment ongoing development of NRL's Geospatial Information Database (GIDB) in the realm of Object Request Brokers (ORBs) and the GemStone Object-Oriented Database Management System (OODBMS).Soon after the work was initiated, however, NRL began to investigate alternate implementation architectures for the GIDB relative to its future stability and viability. Major re-design decisions were made, including: (1) a move from the Smalltalk programming language to Java, (2) replacement of GemStone OODBMS with Ozone OODBMS (Java-based), and (3) replacement of CORBA-based architecture with Java Remote Method Invocation (RMI)/applet technology. These decisions have since proven to be invaluable to the development and marketability of the GIDB; however, because this new direction made much of the proposed grant work in CORBA and related implementation issues unnecessary, and in consultation with the NRL principal scientist, the concentration of work was redirected to the areas of fuzzy spatial data modeling and conflation.After the original three years were completed, a no-cost extension was requested. This extension funded a Ph.D. scientific co...

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Section: Original Conflation Projectmentioning

confidence: 99%

Section: ■Imentioning

confidence: 99%

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Object-Oriented Distributed Database Design and Spatial Data Modeling

Cobb¹

2002

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“…The Naval Research Laboratory's Geospatial Information DataBase System (GIDB) serves as the prototype for TEDServices system components. The GIDB System has been under development and testing since 1994 under various sponsors with emphasis on Internet-based delivery of geospatial data from heterogeneous sources [3,4].…”

Section: Introductionmentioning

confidence: 99%

New developments in Internet-based delivery of MetOc data to Warfighters

Warner

Ladner

Katikaneni

2003

Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information 02414. ABSTRACT Access and retrieval of meteorological and oceanographic data from heterogeneous sources in a distributed system presents many issues. Effective bandwidth utilization is important for any distributed system. In addition, specific issues need to be addressed in order to assimilate spatio-temporal data from multiple sources. These issues include resolution of differences in datum, map-projection and lime coordinate. Reduction in the complexity of data fomiats is a significant factor for fostering interoperability. Simplification of training is important to promote usage of the distributed system. Here, we describe particular techniques that revolutionize the Intemet-based delivery of MetOc data to address the needs of the Warfighter. Abstract -Access and retrieval of meteorological and oceanographic data from heterogeneous sources in a distributed system presents many issues. Effective bandwidth utilization is important for any distributed system. In addition, specific issues need to be addressed in order to assimilate spatiotemporal data from multiple sources. These issues include resolution of differences in datum, map-projection and time coordinate. Reduction in the complexity of data formats is a significant factor for fostering interoperability. Simplification of training is important to promote usage of the distributed system.Here, we describe particular techniques that revolutionize the Internet-based delivery of MetOc data to address the needs of the Warfighter.

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“…The Naval Research Laboratory's Geospatial Information DataBase System (GIDB) serves as the prototype for the system's components. The GIDB System has been under development and testing since 1994 under various sponsors with emphasis on Internet delivery of geospatial data from heterogeneous sources [2,3].…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal data access for information-based decision making

Ladner

Warner

Petry

2003

Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information 02814. 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. 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.

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An OO database migrates to the Web

Cited by 14 publications

References 3 publications

Object-Oriented Distributed Database Design and Spatial Data Modeling

Object-Oriented Distributed Database Design and Spatial Data Modeling

New developments in Internet-based delivery of MetOc data to Warfighters

Spatio-temporal data access for information-based decision making

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