Multi-granular Spatio-temporal Object Models: Concepts and Research Directions

@inproceedings{Bertino2009MultigranularSO,
  title={Multi-granular Spatio-temporal Object Models: Concepts and Research Directions},
  author={Elisa Bertino and Elena Camossi and Michela Bertolotto},
  booktitle={ICOODB},
  year={2009}
}
The capability of representing spatio-temporal objects is fundamental when analysing and monitoring the changes in the spatial configuration of a geographical area over a period of time. An important requirement when managing spatio-temporal objects is the support for multiple granularities. In this paper we discuss how the modelling constructs of object data models can be extended for representing and queryingmulti-granular spatio-temporal objects. In particular, we describe object-oriented… 

A multi-granular 3 D spatial-temporal model tailored to environmental and geographic areas monitoring

TLDR
The research described in this paper aimed at the development of a spatiotemporal multi-granular data model and query language enabling the efficient and consistent representation and analysis of spatio-temporal data at different levels of details, i.e., granularities, with particular emphasis on threedimensional geometric information.

Multi-Granular Schemas for Data Integration

TLDR
This article provides a multi-granular domain schema that is used in the formalization of database schemas so that each attribute is assigned a certain granularity and explores the issues when integrating data at different granularities.

Multi-scale Windowing over Trajectory Streams

TLDR
This paper suggests an advanced windowing construct that enables online, incremental examination of recent motion paths at multiple levels of detail, and points out that window specification is much more than a powerful means for efficient processing of multiple concurrent queries; it can be also used to obtain concrete subsequences from each trajectory, thus preserving continuity in time and contiguity in space for the respective segments.

Using Semantic Similarity to Improve Information Discovery in Spatial Data Infrastructures

TLDR
A framework that uses ontologies and thematic relevance to suggest a measurement that allows evaluating how relevant is each resource offered by the infrastructure to the user's query is proposed.

Converting spatiotemporal data Among heterogeneous granularity systems

TLDR
This paper proposes a formal framework for verifying the existence of a CRG and unifying conversions of incongruous semantics, and supports the approach to integrate multiple systems into one so as to process granular interoperation across systems just like in a single system.

Converting spatiotemporal data among multiple granularity systems

TLDR
This paper proposes a formal framework for verifying the existence of a CRG and unifying conversions of incongruous semantics, and supports the approach to integrate multiple systems into one so as to process granular data interoperation across systems just like in a single system.

Towards Intelligent Analysis of Commplex Networks in Spatial Data Warehouses

TLDR
The proposed model, inspired from geography, represents the dynamics of spatial elements in the network and supports the investigation of spatial and temporal patterns and tendencies, as has been observed in an electricity distribution case study.

Conceptual design and implementation of spatial data warehouses integrating regular grids of points

TLDR
A UML profile for SDWs that integrates a regular grid of points and supports continuity and multiresolutions is proposed and an efficient implementation of a ROLAP architecture is proposed.

Multi-scale window specification over streaming trajectories

TLDR
This work proposes an advanced windowing operator that enables online, incremental examination of recent motion paths at multiple resolutions for numerous point entities and explains the semantics of such multi- scale sliding windows through parameterized functions that reflect the sequential nature of trajectories and can effectively capture their spatiotemporal properties.

References

SHOWING 1-10 OF 44 REFERENCES

Querying Multigranular Spatio-temporal Objects

TLDR
This paper describes the design of a multigranular spatio-temporal query language that extends OQL value comparison and object navigation in order to access spatio/temporal objects with attribute values defined at different levels of detail.

Multigranular spatio-temporal models: implementation challenges

TLDR
This paper investigates the implementation issues arising when a data model and a query language are enriched with spatio-temporal multigranularity, and introduces appropriate representations for space and time dimensions, granularities, granules, and multi-granular values.

Adaptive Management of Multigranular Spatio-Temporal Object Attributes

TLDR
ST 2_ODMGe is defined, a multigranular spatio-temporal model supporting evolutions, which encompass the dynamic adaptation of attribute granularities, and the deletion of attribute values.

A multigranular object‐oriented framework supporting spatio‐temporal granularity conversions

TLDR
A spatio‐temporal extension of the ODMG type system with specific types for defining multigranular spatio-temporal properties is presented and Granularity conversion functions are introduced to obtain attributes values at different spatial and temporal granularities.

Supporting User-Defined Granularities in a Spatiotemporal Conceptual Model

TLDR
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 spatiotmporal constructs is proposed.

The Tripod spatio-historical data model

Towards a Formal Framework for Spatio-Temporal Granularities

TLDR
This work proposes a formal definition of "spatial granularity" and other related terms involved in the spatial context, as happened for the temporal one, and proposes a framework for spatial granularity with the usual framework for temporal granularity.

Efficiently Supported Temporal Granularities

TLDR
This work presents a formal model for granularity in temporal operations that is integrated with temporal indeterminacy, or "don't know when" information, and minimally extend the syntax and semantics of SQL-92 to support mixed granularities.

Attribute refinement in a multigranular temporal object data model

TLDR
This paper investigates how the integration of multiple temporal granularities in an object-oriented data model impacts on the inheritance hierarchy, and specifically addresses issues related to attribute refinement, and the consequences on object substitutability.