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Record W2786588384 · doi:10.2902/ijsdir.v13i0.472

Future development of NSDI based on the European INSPIRE Directive – A case study of a Bosnian and Herzegovinian geoportal

2018· article· en· W2786588384 on OpenAlexaboutno aff
Nikolina Mijić, Maksim Šestić

Bibliographic record

VenueInternational Journal of Spatial Data Infrastructures Research, , · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpatial data infrastructureGeoportalDirectiveSpatial planningSpatial analysisMetadataContext (archaeology)European unionBosnianGeospatial analysisComputer scienceEnvironmental resource managementGeographyBusinessEnvironmental planningWorld Wide WebCartographyRemote sensing

Abstract

fetched live from OpenAlex

The term infrastructure, as a mechanism of support for spatial data, was used for the first time in the early 1990s in Canada. Today, the concept of spatial data infrastructure (SDI) has become a new paradigm worldwide for the collection, use, exchange and distribution of spatial data and information. Spatial data infrastructures are developed through sets of spatial data, metadata, agreements for joint spatial data use and distribution, network services and coordination activities. SDI is always present in a certain form, but the level of implementation varies according to current demand. In this context, the building or setting up of an SDI can be seen as an improvement or addition to one already in existence. One of the main goals of SDI is the horizontal and vertical linking of subjects that create and use spatial data. Subjects can be classified at several basic levels – from personal and corporative, through local and county, to national, regional and finally, global. Today, the most important level is the national level i.e. the National Spatial Data Infrastructure (NSDI) project and the European Union (EU) Infrastructure for Spatial Information in Europe (INSPIRE) Directive. Without spatial data and services, it would be impossible to manage space effectively, plan city development, monitor the situation on the ground, or carry out many other activities. This paper gives an overview of different initiatives and efforts in establishing SDI in Bosnia and Herzegovina. State bodies such as the government and the State Geodetic Administration have the main role in collaborating with the public and commercial sectors and also with the academic community. As the main factor in creating a future SDI, the State Geodetic Administration has launched several initiatives the goal of which is the installation of new technologies, equipment and procedures in map production and the establishment of digital topographic and cadastre databases. In the next few years Bosnia and Herzegovina must accomplish numerous tasks to arrange spatial records. These tasks must be accomplished very conscientiously and in a reasonable period of time. It is very important for Bosnia and Herzegovina’s prosperity and for the fulfilment of the conditions established for the process of entering European and international integrations. The iGEO geospatial portal implementation, described in detail further down in this paper, represents an initial drive towards establishing state-wide SDI-based services as a focal point to handle the above stated tasks. It represents a standardized, INSPIRE-driven way of providing important geospatial data to end-users throughout Bosnia and Herzegovina.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.405
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2018
Admission routes1
Has abstractyes

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