A Design of a Data Model Based on Abstraction of Symbols

Historical place databases can be an invaluable tool for capturing the rich meaning of past places. However, this richness presents obstacles to success: the daunting need to simultaneously represent complex information such as temporal change, uncertainty, relationships, and thorough sourcing has been an obstacle to historical GIS in the past. The Qualified Assertion Model developed in this paper can represent a variety of historical complexities using a single, simple, flexible data model based on a) documenting assertions of the past world rather than claiming to know the exact truth, and b) qualifying the scope, provenance, quality, and syntactics of those assertions. This model was successfully implemented in a production-strength historical gazetteer of religious congregations, demonstrating its effectiveness and some challenges.

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High-Dimensional Uncertainty Quantification in a Hybrid Data + Model-Based Submodeling Method for Refined Response Estimation at Critical Locations

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering ◽

10.1061/ajrua6.0001142 ◽

2021 ◽

Vol 7 (3) ◽

pp. 04021022

Author(s):

Bhavana Valeti ◽

Shamim N. Pakzad

Keyword(s):

Uncertainty Quantification ◽

Data Model ◽

High Dimensional ◽

Model Based ◽

Hybrid Data ◽

Critical Locations

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An Urban Infrastructure Common Data Model Based on Loose Coupling Topology and Rule Base

2009 First International Conference on Information Science and Engineering ◽

10.1109/icise.2009.297 ◽

2009 ◽

Author(s):

Lei Zhang ◽

Zhijiang Yang

Keyword(s):

Data Model ◽

Urban Infrastructure ◽

Rule Base ◽

Common Data Model ◽

Loose Coupling ◽

Model Based

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Probabilitics data model based on privacy tipping points

Environmental Engineering and Computer Application ◽

10.1201/b18565-76 ◽

2015 ◽

pp. 373-376

Author(s):

M Rallapalli

Keyword(s):

Data Model ◽

Tipping Points ◽

Model Based

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RESEARCH ON CONSTRUCTION METHOD OF SPATIO-TEMPORAL DATA MODEL BASED ON BEHAVIOR-EVENT

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w10-591-2020 ◽

2020 ◽

Vol XLII-3/W10 ◽

pp. 591-594

Author(s):

J. W. Li ◽

Y. Ma ◽

J. W. Jiang ◽

W. D. Chen ◽

N. Yu ◽

...

Keyword(s):

Data Model ◽

Logical Structure ◽

Physical Structure ◽

Temporal Data ◽

Model Based ◽

Time Space ◽

Before And After ◽

Spatio Temporal ◽

Temporal Objects ◽

Organic Combination

Abstract. Starting from the object-oriented idea, this paper analyses the existing event-based models and the logical relationship between behavioral cognition and events, and discusses the continuity of behavioral cognition on the time axis from the perspective of temporal and spatial cognition. A geospatial data model based on behavioral-event is proposed. The physical structure and logical structure of the model are mainly designed, and the four-dimensional model of “time, space, attribute and event” is constructed on the axis. The organic combination of the four models can well describe the internal mechanism and rules of geographical objects. The expression of data model based on behavior-event not only elaborates the basic information of geospatial objects, but also records the changes of related events caused by the changes of geographic Entities' behavior, and expresses the relationship between spatial and temporal objects before and after the changes of behavior cognition. This paper also designs an effective method to organize spatio-temporal data, so as to realize the effective management and analysis of spatio-temporal data and meet the requirements of storage, processing and mining of large spatio-temporal data.

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Multidimensional Space Structure for Adaptable Data Model

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c6318.098319 ◽

2019 ◽

Vol 8 (3) ◽

pp. 7753-7758

Keyword(s):

Data Model ◽

Cartesian Product ◽

Data Representation ◽

Space Structure ◽

Automated System ◽

Relational Model ◽

Multidimensional Data ◽

Multidimensional Space ◽

Model Based ◽

Five Axes

The article presents an adaptable data model based on multidimensional space. The main difference between a multidimensional data representation and a table representation used in relational Database Management Systems (DBMSs) is that it is possible to add new elements to sets defining the axes of multidimensional space at any time. This changes the data model. The tabular representation of the relational model does not allow you to change the model itself during the operation of an automated system. Three levels of multidimensional data presentation space are considered. There are axis of multidimensional space, the Cartesian product of the sets of axis values and the values of space points. The five axes of multidimensional space defined in the article (entities, attributes, identifiers, time, modifiers) are basic for the design of an adaptable automated system. It is shown that it is possible to use additional axes for greater granularity of the stored data. The multidimensional space structure defined in the article for an adaptable data model is a flexible set for storing a relational domain model. Two types of operations in multidimensional information space are defined. Relations of the relational model are formed dynamically depending on the conditions imposed on the coordinates of the points. Thus, an adaptable data representation model based on multidimensional space can be used to create flexible dynamic automated information systems.

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Computer Data Structure for Geological Entities Modelling Based on OO-Solid Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.383-390.2484 ◽

2011 ◽

Vol 383-390 ◽

pp. 2484-2491

Author(s):

Jun Fan

Keyword(s):

Data Structure ◽

Data Model ◽

Object Oriented ◽

Geological Structure ◽

Solid Model ◽

Topological Relations ◽

Seamless Integration ◽

Computer Data ◽

Model Based ◽

Geometric Primitives

In the long evolution of the earth formation often form a complex geological structure, modeling for these complex geological entities (such as thinning-out, bifurcation, reverse, etc.) still require in-depth 3D modeling study. Because of discontinuity, complexity and uncertainty of distribution of 3D geo-objects, some models only are suitable for regular, continuous and relatively simple spatial objects, and some are suitable for discontinue, complex and uncertain geo-objects, but some improvements on these models, such as, updating of model, maintenance of topological and seamless integration between models, are still to be made. OO-Solid model, put forward by writer in 2002, is an object- oriented topological model based on sections. The OO-Solid Model is an object-oriented 3D topologic data model based on component for geology modeling with fully considering the topological relations between geological objects and its geometric primitives, Comparatively, it accords with the actual requirements of three-dimensional geological modeling . The key issue of 3D geology modeling is the 3D data model. Some data models are suitable for discontinue, complex and uncertain geo-objects, but the OO-Solid model is an object-oriented 3D topologic data model based on component for geology modeling with fully considering the topological relations between geological objects and its geometric primitives. OO-Solid model and data structure are designed. At last, 3D complex geological entities modeling based on OO-Solid are studied in this paper. These study is important and one of the core techniques for the 3DGM.

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