An extended entity-relationship model for geographic applications

Hadzilacos, Thanasis; Tryfona, Nectaria

doi:10.1145/262762.262766

Cited by 49 publications

(37 citation statements)

References 8 publications

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“…GeoFrame relies on various interesting proposals of GIS specific, conceptual data models [5,12,18,22,24,26]. Each of the proposed models, though, presents limitations that can make the specification of analysis patterns more difficult.…”

Section: Geoframementioning

confidence: 99%

“…For example, the GeoOOA model [18] defines three new kinds of constructors for spatial aggregation: covering, containment and partition. The Geo-ER model [12] defines only one constructor for spatial aggregations. Even though these constructors allow the specification of spatial integrity constraints, they present two disadvantages.…”

Section: Relationships In Geoframementioning

confidence: 99%

“…However it still needs some extensions as those proposed by several specific conceptual data models for GIS (e.g., GeoOOA [18], Geo-ER [12], Geo-OMT [4], MADS [23]). …”

Section: Introductionmentioning

confidence: 99%

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Specifying analysis patterns for geographic databases on the basis of a conceptual framework

Filho

Iochpe

1999

Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems

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Frameworks and Patterns are important instruments that enable the reuse of successful software solutions in recurrent problems. Geographic information systems, on the other hand, are usually designed by people with only little knowledge of database modeling techniques. Therefore, we believe that analysis patterns and conceptual frameworks can both facilitate and improve geographic database design in many organizations.In order to be used by designers with such a wide variety of backgrounds (e.g., cartographers, biologists, and architects), analysis patterns and conceptual frameworks for geographic database design must rely upon an easy to learn and to use, semantically rich conceptual data model. This paper introduces the GeoFrame, a conceptual framework that serves as a starting point for the conceptual modeling of geographic databases. It relies on an extension of the Unified Modeling Language (UML) that can also be used to define new analysis patterns for geographic applications. In addition, we present an example of an analysis pattern that was extracted out of a database schema which was itself derived from GeoFrame. This pattern can be identified in various urban GIS applications.

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Section: Geoframementioning

confidence: 99%

Section: Relationships In Geoframementioning

confidence: 99%

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Specifying analysis patterns for geographic databases on the basis of a conceptual framework

Filho

Iochpe

1999

Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems

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“…Throughout the relatively young history of research on Spatio-Temporal modeling, a substantial number of models have been presented in the last two decades and many Spatio-Temporal data models and corresponding query languages have been proposed. The main Spatio-Temporal data models generally include the following: Space Time [2][3] [4], Snapshots [5], Simple TimeStamping [6], Base State with amendments [7][8], Spatial Temporal Domain [8], Feature-based spatial-temporal data model [9], Event Based Spatio-Temporal Data Model [10], History Graph Model [11], Spatio-Temporal Entity Relationship (STER) Model [12], Object-Relationship (O-R) Model [13].…”

Section: Introductionmentioning

confidence: 99%

Hair data model: A new data model for Spatio-Temporal data mining

Madraky

Othman

Hamdan

2012

2012 4th Conference on Data Mining and Optimization (DMO)

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Abstract-Spatio-Temporal data is related to many of the issues around us such as satellite images, weather maps, transportation systems and so on. Furthermore, this information is commonly not static and can change over the time. Therefore the nature of this kind of data are huge, analysing data is a complex task. This research aims to propose an intermediate data model that can represented suitable for Spatio-Temporal data and performing data mining task easily while facing problem in frequently changing the data. In order to propose suitable data model, this research also investigate the analytical parameters, the structure and its specifications for Spatio-Temporal data. The concept of proposed data model is inspired from the nature of hair which has specific properties and its growth over the time. In order to have better looking and quality, the data is needed to maintain over the time such as combing, cutting, colouring, covering, cleaning etc. The proposed data model is represented by using mathematical model and later developed the data model tools. The data model is developed based on the existing relational and object-oriented models. This paper deals with the problems of available SpatioTemporal data models for utilizing data mining technology and defines a new model based on analytical attributes and functions.Keywords-hair data model; spatio-temporal data models; data warehouse model.

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“…Geographical databases described in Hadzilacos and Tryfona (1997) represent a useful formalism when dealing with geographic data. But they do not allow the representation of strong structure, so we will not use them for building description.…”

Section: Existing Description Formatsmentioning

confidence: 99%

A Context-aware Locomotion Assistance Device for the Blind

Jacquet

Bellik

Bourda

People and Computers XVIII — Design for Life

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In this paper, we present a study which aims at designing a locomotion assistance device that can deliver semantic information about its surrounding environment at any time. As a first step towards this goal, we introduce an original model suited for the description of building structure, and we present an algorithm that exploits these descriptions. Then, we explain how it is possible to link semantics to structure. Finally, we expose some research directions for user positioning and human-computer interface design.

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An extended entity-relationship model for geographic applications

Cited by 49 publications

References 8 publications

Specifying analysis patterns for geographic databases on the basis of a conceptual framework

Specifying analysis patterns for geographic databases on the basis of a conceptual framework

Hair data model: A new data model for Spatio-Temporal data mining

A Context-aware Locomotion Assistance Device for the Blind

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