A Collaborative User-Centered Approach to Fine-Tune Geospatial Database Design

Grira, Joel; Bédard, Yvan; Sboui, Tarek

doi:10.1007/978-3-642-33999-8_33

Cited by 2 publications

(7 citation statements)

References 22 publications

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“…They mainly focused on data representation interoperability and data interoperability. Therefore, in the context of this research, ontology-based knowledge discovery is used to extend the previously introduced collaborative risk identification and analysis process (Grira et al 2012). It enriches a subset of the attributes of the ontology defined in (1).…”

Section: Ontology and Knowledge Discoverymentioning

confidence: 99%

“…Other research leveraged ontology as a semantic reference system (Egenhofer, 2002;Kuhn and Raubal, 2003) and as knowledge representation formalism for a particular type of application domain (Dittenbach et al, 2004) Our work goes beyond the modeling aspects of geo-ontologies and provides a framework to utilize upper level ontologies and domain-specific ontologies in order to efficiently address risks of geospatial data misuse that have already been collaboratively identified (Grira et al, 2012).…”

Section: Application Domain Ontologiesmentioning

confidence: 99%

“…However, different expertises are required to perform the risk analysis within the design phase (Bédard Y, 2011;Grira et al, 2012): application domain expertise (e.g. ecology, epidemiology, transportation, security), information technologies expertise (e.g.…”

Section: Collaborative Risk Analysis In a Context Of Geospatial Databmentioning

confidence: 99%

“…Following these researches, we selected the Delphi method to involve experts in providing their judgment about the risks but we also involved end-users in a second collaborative step using a web 2.0 collaborative platform in order to collect nonfunctional requirements (i.e. goals, objectives and constraints) and assess their cross impacts on risk analysis (Grira et al, 2012). Literature outlines that the use of Delphi method with other techniques (e.g.…”

Section: Collaborative Risk Analysis In a Context Of Geospatial Databmentioning

confidence: 99%

“…connecting a CASE tool to the repositories). The Delphi-based collaborative platform and the dashboard are already in place and have been presented in previous work (Grira et al, 2012;Grira et al, 2013).…”

Section: Core Layermentioning

confidence: 99%

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Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information About Risks of Geospatial Data

Grira

Bédard

Roche

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The aim of this research is to design and implement a knowledge discovery system that facilitates, using a web 2.0 collaborative approach, the identification of new risks of geospatial data misuse based on a contributed knowledge repository fed by application domain experts. [Context/Motivation] This research is motivated by the irregularity of risk analysis efforts and the poor semantic of the collected information about risks. In the context of risk analysis during geospatial database design, the knowledge about risks of geospatial data misuse is typically held by domain application experts. The collection and record of that knowledge are usually considered as optional activities. It is usually performed through face-to-face risk assessment meetings and reports. Such techniques end up by restricting the scope of risk analysis to a set of obvious risks usually already identified. Besides, little consideration is devoted to the storage of risk information in an appropriate format for automatic reasoning and new risk information discovery. As a consequence, many foreseeable risky aspects inherent to the data remain overlooked leading to ill-defined specification and faulty decisions. [Principal ideas/results] In this paper, we present a contributed knowledge discovery system that aims at enriching the semantic information about risks of geospatial data misuse in order to identify foreseeable risks. The proposed web-based system relies on a systematic and more active involvement of users in risk analysis. The approach consists of 1) providing an overview of the related work in the domains of risk analysis within the context of geospatial database design, 2) presenting an ontology-based knowledge discovery system that helps experts in risks identification based on an upper-level risk ontology and on a structured representation of the domain-specific knowledge and, 3) presenting the components of the proposed system architecture and how it may be implemented and used in practice, and finally 4) we conclude by discussing the approach. [Contribution] A major outcome is that the proposed platform can help discovering implicit domain knowledge, and facilitating the identification of foreseeable risks of geospatial data misuse in a way to preventively improve the resulting fitness-for-use.

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Section: Ontology and Knowledge Discoverymentioning

confidence: 99%

Section: Application Domain Ontologiesmentioning

confidence: 99%

Section: Collaborative Risk Analysis In a Context Of Geospatial Databmentioning

confidence: 99%

Section: Collaborative Risk Analysis In a Context Of Geospatial Databmentioning

confidence: 99%

Section: Core Layermentioning

confidence: 99%

See 3 more Smart Citations

Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information About Risks of Geospatial Data

Grira

Bédard

Roche

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

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A Needs-Assessment Process for Designing Geospatial Data Management Systems within Federal Agencies

Smith

Slocumb

Smith

et al. 2015

Journal of Map & Geography Libraries

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Many federal agencies face challenges with designing geospatial data management systems. This paper presents and documents a needs-assessment process that can be employed to prioritize agencies' geospatial information needs; identify agencies' capacity to manage a centralized geodatabase; determine agencies' capacity to deliver Web-mapping services to the public; and identify barriers, such as data security and limited financial resources, that constrain agencies' ability to design and manage a geospatial data management system. The paper details the needs-assessment process and documents its application to the National Park Service (NPS) Conservation and Outdoor Recreation (COR) Branch programs. The NPS COR Branch is comprised of nine disparate programs, such as the National Trails System and the Rivers, Trails, and Conservation Assistance program, each of which has specific geospatial data management and delivery needs. The needs-assessment process, tested through its application to the NPS COR Branch programs, provides a comprehensive and logical workflow for system developers and administrators to use as they create or refine geospatial data management systems.

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A Collaborative User-Centered Approach to Fine-Tune Geospatial Database Design

Cited by 2 publications

References 22 publications

Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information About Risks of Geospatial Data

Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information About Risks of Geospatial Data

A Needs-Assessment Process for Designing Geospatial Data Management Systems within Federal Agencies

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