SWI: A Semantic Web Interactive Gazetteer to support Linked Open Data

Cardoso, Silvio Domingos; Amanqui, Flor K.; Serique, Kleberson J.; Santos, José Laurindo Campos dos; Moreira, Dilvan de Abreu

doi:10.1016/j.future.2015.05.006

Cited by 15 publications

(8 citation statements)

References 23 publications

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“…Then, using a semantic search engine, BioDSL can retrieve URIs from known entities in the endpoints to be reused to enrich data, during the RDF generation. Many entities from CSV files are already present in the LOD cloud, in sites such as Geonames, DBpedia, the SWI Gazzetter [Cardoso et al 2015]. Entity reuse can give the final RDF a high degree of interconnectivity to the LOD cloud.…”

Section: Matching Functionmentioning

confidence: 99%

BioDSL: A Domain-Specific Language for mapping and dissemination of Biodiversity Data in the LOD

Serique¹,

Santos²,

Moreira³

2020

Anais Do Brazilian E-Science Workshop (BreSci)

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Currently, Linked Open Data (LOD) have enabled integrated data sharing across disciplines over the Web. However, for LOD users, in areas such as biodiversity (which massively use the Web to disseminate data), the task of transforming data file contents in CSV (Comma Separated Value) to RDF (Resource Description Framework) is not trivial. We have developed a new approach to map data files in CSV to RDF format based on a domain-specific language (DSL) called BioDSL. Using it, biodiversity data users can write compact programs to map their data to RDF and link them to the LOD. Biodiversity vocabularies and ontologies, such as Darwin Core and OntoBio, can be used with BioDSL to enrich user data. Existing tools are exclusively focused on mapping (CSV to RDF), offering little or no support for linking data to the LOD (interconnecting user entities to LOD entities). They also are more complex to use than BioDSL.

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Section: Matching Functionmentioning

confidence: 99%

BioDSL: A Domain-Specific Language for mapping and dissemination of Biodiversity Data in the LOD

Serique¹,

Santos²,

Moreira³

2020

Anais Do Brazilian E-Science Workshop (BreSci)

Self Cite

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“…Semantic Web Interactive Gazetteer (SWI) [16] usa Linked Data para ligar seus dados com outros dados na web e armazenálos em RDF. Ele também provê um mecanismo de acesso a esses dados através de Endpoints GeoSPARQL.…”

Section: Trabalhos Relacionadosunclassified

Linked Data Application for publishing and retrieving data from mammalian collections

Cosme¹,

Medeiros²

2019

Anais Estendidos Do Simpósio Brasileiro De Sistemas Multimídia E Web (WebMedia)

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Several research institutions have collections of mammals, which are biological collections that contain important data about the species present in a given region. However, they face problems related to the management of this data and its dissemination, since in many cases this data is stored in spreadsheets, which makes data access and disclosure difficult. This work presents an application that uses the principles of Linked Data and the Darwin Core standard to publish the data of the mammalian collections. It allows accessing data in a friendly way and obtaining more related data, present in other repositories, in order to enrich the data of the samples of species of a collection.

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“…This is the approach adopted by tools such as Pelias (https://pelias.io). More sophisticated approaches are possible (e.g., Van Erp et al, 2014;Cardoso et al, 2016) but the use of full text search is attractive as it can make use of existing infrastructure. For example, GBIF has over one billion occurrence records, many of which are geocoded.…”

Section: Gbif As Geocoding Toolmentioning

confidence: 99%

Geocoding genomic databases using GBIF

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2018

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Many nucleotide sequences in the publicly available genomics databases lack spatial information, such as the latitude and longitude coordinates for the locality where the sample for sequencing was taken. In this note I discuss several approaches to geocoding sequence records. The first method uses the Global Biodiversity Information Facility (GBIF: https://gbif.org) as a gazetter. The availability of a simple full text search across GBIF data makes it possible to rapidly geocode locality information simply by searching for matching records within GBIF.Hence if a sequence lacks coordinates but has some locality information it could be rapidly geocoded. The second method matches voucher specimen code for sequences with the corresponding specimen records in GBIF, which may be geocoded even if the sequence obtained from that specimen is not. Lastly, there will be cases where sequence records lack either locality or specimen information, but that information is available elsewhere, such as in the published literature or in supplementary data files. The possibility of publishing geocoded sequence records using Github is discussed.

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SWI: A Semantic Web Interactive Gazetteer to support Linked Open Data

Cited by 15 publications

References 23 publications

BioDSL: A Domain-Specific Language for mapping and dissemination of Biodiversity Data in the LOD

BioDSL: A Domain-Specific Language for mapping and dissemination of Biodiversity Data in the LOD

Linked Data Application for publishing and retrieving data from mammalian collections

Geocoding genomic databases using GBIF

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