Software Engineering: Problems and Perspectives
Computer - IEEE Centennial: the state of computing
Computer
Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Creating products customers demand
Communications of the ACM
Temporal modules: an approach toward federated temporal databases
Information Sciences—Informatics and Computer Science: An International Journal
Intelligent database design using the unifying semantic model
Information and Management
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
Semantics of time-varying information
Information Systems
Conceptual modelling
Logical design for temporal databases with multiple granularities
ACM Transactions on Database Systems (TODS)
Advanced database systems
An extensible notation for spatiotemporal index queries
ACM SIGMOD Record
Supporting valid-time indeterminacy
ACM Transactions on Database Systems (TODS)
Modeling time from a conceptual perspective
Proceedings of the seventh international conference on Information and knowledge management
Developing time-oriented database applications in SQL
Developing time-oriented database applications in SQL
On semantic issues connected with incomplete information databases
ACM Transactions on Database Systems (TODS)
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Database Systems Concepts
Time Granularities in Databases, Data Mining and Temporal Reasoning
Time Granularities in Databases, Data Mining and Temporal Reasoning
Imprecision in Finite Resolution Spatial Data
Geoinformatica
Efficiently Supporting Temporal Granularities
IEEE Transactions on Knowledge and Data Engineering
Multiple Representation Modelling and Querying
IGIS '94 Proceedings of the International Workshop on Advanced Information Systems: Geographic Information Systems
Towards a Formal Model for Multi-Resolution Spatial Maps
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Generalizing Graphs Using Amalgamation and Selection
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
DISTIL: A Design Support Environment for Conceptual Modeling of Spatio-temporal Requirements
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Managing multiple representations of georeferenced elements
DEXA '96 Proceedings of the 7th International Workshop on Database and Expert Systems Applications
Symbolic Representation of User-Defined Time Granularities
TIME '99 Proceedings of the Sixth International Workshop on Temporal Representation and Reasoning
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
DISTIL: A Design Support Environment for Conceptual Modeling of Spatio-temporal Requirements
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
A multigranular spatiotemporal data model
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Augmenting a Conceptual Model with Geospatiotemporal Annotations
IEEE Transactions on Knowledge and Data Engineering
Spatiotemporal Aggregate Computation: A Survey
IEEE Transactions on Knowledge and Data Engineering
Querying Multigranular Spatio-temporal Objects
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Multigranular spatio-temporal models: implementation challenges
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Formal and conceptual modeling of spatio-temporal granularities
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
"Same, Same but Different" A Survey on Duplicate Detection Methods for Situation Awareness
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
Multi-granular spatio-temporal object models: concepts and research directions
ICOODB'09 Proceedings of the Second international conference on Object databases
An object-relational approach to the representation of multi-granular spatio-temporal data
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
Materialized views for count aggregates of spatial data
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
Hi-index | 0.00 |
Granularities are integral to spatial and temporal data. A large number of applications require storage of facts along with their temporal and spatial context, which needs to be expressed in terms of appropriate granularities. For many real-world applications, a single granularity in the database is insufficient. In order to support any type of spatial or temporal reasoning, the semantics related to granularities needs to be embedded in the database. Specifying granularities related to facts is an important part of conceptual database design because under-specifying the granularity can restrict an application, affect the relative ordering of events and impact the topological relationships. Closely related to granularities is indeterminacy, i.e., an occurrence time or location associated with a fact that is not known exactly. In this paper, we present an ontology for spatial granularities that is a natural analog of temporal granularities. We propose an upward-compatible, annotation-based spatiotemporal conceptual model that can comprehensively capture the semantics related to spatial and temporal granularities, and indeterminacy without requiring new spatiotemporal constructs. We specify the formal semantics of this spatiotemporal conceptual model via translation to a conventional conceptual model. To underscore the practical focus of our approach, we describe an on-going case study. We apply our approach to a hydrogeologic application at the United States Geologic Survey and demonstrate that our proposed granularity-based spatiotemporal conceptual model is straightforward to use and is comprehensive.