Retrieving spatial datasets with ease through an application programming interface (API)

Detalhes bibliográficos
Autor(a) principal: Sherpa, Ang Dawa
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/67707
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
id RCAP_65aa2ed3fa793899df5f22247a9cf353
oai_identifier_str oai:run.unl.pt:10362/67707
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Retrieving spatial datasets with ease through an application programming interface (API)APILearnabilityOpen Government DataSpatial dataDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesIn the context of searching for Open datasets, there is a still a limited understanding of the efficient ways to access them. Using an Application Programming Interface (API) is one of the ways that developers mostly use. However, there is still a need for refined APIs with greater learnability in the context of accessing Open data. In this work, we developed a RESTful API with a capability to retrieve spatial datasets easily from API level by querying in terms of parameters, namely Space, Time, and Theme. To achieve that we made two assumptions. Firstly, expressing the temporal parameter in a natural language (e.g. today, last year, etc) benefits the developers in many ways as it avoids having to deal with rigid date format. Secondly, if the API can accept parameters in any order, it saves the developers time as they don't have to spend extra time learning about the parameters order and they can simply focus on the main task. A user-study with 20 participants was done to evaluate the API in terms of its learnability. Half of the participants had prior experience of querying datasets from API level and remaining did not. The evaluation result was promising as both categories of participants found the API easily learnable. This means such API has the potential to restrain the problem of developers compulsion to spend a lot of time before becoming really productive. Likewise, it also had the potential to pave a way towards the next generation API as it addresses the problem of lacking refined APIs to access Open Government data easily.Degbelo, AuriolGranell-Canut, CarlosSilva, Joel Dinis Baptista Ferreira daRUNSherpa, Ang Dawa2019-04-26T15:41:07Z2019-02-052019-02-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/67707TID:202228282enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:38:58Zoai:run.unl.pt:10362/67707Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:38:58Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Retrieving spatial datasets with ease through an application programming interface (API)
title Retrieving spatial datasets with ease through an application programming interface (API)
spellingShingle Retrieving spatial datasets with ease through an application programming interface (API)
Sherpa, Ang Dawa
API
Learnability
Open Government Data
Spatial data
title_short Retrieving spatial datasets with ease through an application programming interface (API)
title_full Retrieving spatial datasets with ease through an application programming interface (API)
title_fullStr Retrieving spatial datasets with ease through an application programming interface (API)
title_full_unstemmed Retrieving spatial datasets with ease through an application programming interface (API)
title_sort Retrieving spatial datasets with ease through an application programming interface (API)
author Sherpa, Ang Dawa
author_facet Sherpa, Ang Dawa
author_role author
dc.contributor.none.fl_str_mv Degbelo, Auriol
Granell-Canut, Carlos
Silva, Joel Dinis Baptista Ferreira da
RUN
dc.contributor.author.fl_str_mv Sherpa, Ang Dawa
dc.subject.por.fl_str_mv API
Learnability
Open Government Data
Spatial data
topic API
Learnability
Open Government Data
Spatial data
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2019
dc.date.none.fl_str_mv 2019-04-26T15:41:07Z
2019-02-05
2019-02-05T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/67707
TID:202228282
url http://hdl.handle.net/10362/67707
identifier_str_mv TID:202228282
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
_version_ 1817545689903661056

Registros relacionados